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<p><h4>About Zaincash</h4>
<p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p>
<h4>Responsibilities:</h4>
<p><strong>1. AI strategy and use case development</strong><br>
Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br>
Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br>
Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p>
<p><strong>2. Solution design and technical leadership</strong><br>
Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br>
Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br>
Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br>
Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p>
<p><strong>3. Proof of concept and production delivery</strong><br>
Lead AI proof of concepts from problem framing to testing and business validation.<br>
Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br>
Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br>
Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p>
<p><strong>4. AI governance, risk, and compliance</strong><br>
Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br>
Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br>
Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br>
Define approval gates for AI use cases before they are deployed into production.</p>
<p><strong>5. Data and platform readiness</strong><br>
Assess the availability, quality, and accessibility of data required for AI use cases.<br>
Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br>
Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br>
Promote reusable patterns instead of isolated experiments.</p>
<p><strong>6. Vendor and partner evaluation</strong><br>
Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br>
Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br>
Support procurement and management in making informed build versus buy decisions.</p>
<p><strong>7. Team enablement and knowledge sharing</strong><br>
Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br>
Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br>
Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p>
<h4>Requirements</h4>
<p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br>
8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br>
Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br>
Strong software engineering background, preferably with Python and API based system integration.<br>
Experience designing and delivering production grade AI or data driven solutions.<br>
Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br>
Strong understanding of data privacy, security, responsible AI, and model governance.<br>
Ability to communicate clearly with both technical and non-technical stakeholders.<br>
Strong problem solving skills and ability to challenge unclear or low value AI ideas.</p>
<h4>Preferred qualifications:</h4>
<ul>
<li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li>
<li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li>
<li>Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li>
<li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li>
<li>Experience evaluating AI vendors and preparing business cases for technology investment.</li>
<li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li>
</ul></p><p></p>
<p><h4>About Zaincash</h4>
<p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p>
<h4>Responsibilities:</h4>
<p><strong>1. AI strategy and use case development</strong><br>
Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br>
Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br>
Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p>
<p><strong>2. Solution design and technical leadership</strong><br>
Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br>
Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br>
Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br>
Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p>
<p><strong>3. Proof of concept and production delivery</strong><br>
Lead AI proof of concepts from problem framing to testing and business validation.<br>
Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br>
Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br>
Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p>
<p><strong>4. AI governance, risk, and compliance</strong><br>
Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br>
Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br>
Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br>
Define approval gates for AI use cases before they are deployed into production.</p>
<p><strong>5. Data and platform readiness</strong><br>
Assess the availability, quality, and accessibility of data required for AI use cases.<br>
Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br>
Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br>
Promote reusable patterns instead of isolated experiments.</p>
<p><strong>6. Vendor and partner evaluation</strong><br>
Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br>
Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br>
Support procurement and management in making informed build versus buy decisions.</p>
<p><strong>7. Team enablement and knowledge sharing</strong><br>
Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br>
Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br>
Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p>
<h4>Requirements</h4>
<p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br>
8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br>
Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br>
Strong software engineering background, preferably with Python and API based system integration.<br>
Experience designing and delivering production grade AI or data driven solutions.<br>
Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br>
Strong understanding of data privacy, security, responsible AI, and model governance.<br>
Ability to communicate clearly with both technical and non-technical stakeholders.<br>
Strong problem solving skills and ability to challenge unclear or low value AI ideas.</p>
<h4>Preferred qualifications:</h4>
<ul>
<li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li>
<li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li>
<li>Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li>
<li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li>
<li>Experience evaluating AI vendors and preparing business cases for technology investment.</li>
<li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li>
</ul></p><p></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span></span><p><span>The Field
Service Engineer will work as part of the technical team reporting to the
Service Manager or the Service Team Lead, providing support on assigned
instruments and systems to customers across Jordan. The role focuses on
delivering high-quality service, ensuring customer satisfaction and efficiently
resolving reported incidents and service requests.<br></span></p><br><p><b><span>Main Responsibilities will Include, but not limited to,</span></b></p><br><p><span><span><span>·</span></span></span><span>Provide independent,
on-site technical support in line with customer Service Level Agreements
(SLAs), including installations, relocations, certifications (IQ/OQ/PQ), and
repair activities.</span></p><br><p><span><span><span>·</span></span></span><span>Deliver advanced remote
support, diagnostics, and fixing for technical issues raised.</span></p><br><p><span><span><span>·</span></span></span><span>Support customers by
building strong partnerships, mentoring, and leading customers’ service teams
to ensure service excellence.</span></p><br><p><span><span><span>·</span></span></span><span>Plan, prioritize, and
complete corrective and preventive maintenance activities, including upgrades,
in compliance with regulatory requirements and defined procedures to ensure
uninterrupted customers operations.</span></p><br><p><span><span><span>·</span></span></span><span>Conduct pre-installation
site assessments and advise customers to ensure all requirements are met for
the successful installation for devices and equipment.</span></p><br><p><span><span><span>·</span></span></span><span>Follow up on spare parts
requests and inventory to ensure the timely availability of service materials.</span></p><br><p><span><span><span>·</span></span></span><span>Communicate effectively
with vendors and suppliers’ technical team and medical team to ensure smooth
operations.</span></p><br><br><span>Requirements<span><span><span>One of the Leading Healthcare Solutions providers in Jordan, looking to hire the Position :</span></span></span><br><span><span><span><b><u>Field Service Engineer, Laboratory Solutions </u></b></span></span></span><span><span><span>- Male </span></span></span><span><span>with the following requirements :</span></span><br></span><p><span><span><span>· </span></span></span><span><span>1–2 years of hands-on
experience servicing IVD laboratory diagnostics equipment, with specific
experience supporting automated systems is highly preferred.</span></span></p><br><p><span><span><span>· </span></span></span><span><span>Proven technical expertise
in the installation, maintenance, troubleshooting, and repair of laboratory
instrumentation.</span></span></p><br><p><span><span><span>· </span></span></span><span><span>Bachelor’s degree or
equivalent experience in Biomedical Engineering, Electronics Engineering, or a
related field.</span></span></p><br><p><span><span><span>· </span></span></span><span><span>Strong communication and
presentation skills with the ability to engage effectively with customers and vendors.</span></span></p><br><p><span><span><span>· </span></span></span><span><span>A collaborative great
teammate who thrives in multi-functional environments and can lead multiple
priorities in a fast-paced setting.</span></span></p><br><p><span><span><span>· </span></span></span><span><span>Proficiency in Microsoft
Office, hold valid driver’s license with an access to a car; very good command
of English (written and spoken)</span></span></p><br><ul><li><span><span>Have a driving license.</span></span></li></ul><br> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span><u><b>Job Summary</b></u>
<br></span><p>The Mechanical Technical Engineer supervises and follow up mechanical draftsmen work schedule, verify and check mechanical shop drawings and
technical submittals.</p><br>
<br><br><u><b>Job Responsibilities 1</b></u>
<br><p>Ensure the discipline shop drawings are prepared in accordance with the relevant design drawings,specifications, details in coordination with all other disciplines.</p><br>
<p>Ensure that the drawings submission schedule efficiently within the target schedule in the best quality.</p><br>
<p>Ensure the shop drawings are executed in compliance with local authorities that has jurisdiction over the discipline scope of work i.e. Health and Safety and all standards applicable to the project such as QCS2014 and the project specifications.</p><br>
<p>Maintain adherence to the relevant Company's policies and procedures.</p><br>
<p>Ensure the satisfaction of the client, consultant and main contractor and MEP project manager/CM always.</p><br>
<p>Guide the technical engineers/draftsmen through the work activities management process throughout the duration of the project engineering phase. Assign specific targets to the various work activities.</p><br>
<p>Plan and allocate responsibilities to team members.</p><br>
<p>Review and approve Mechanical shop drawings before submission.</p><br>
<p>Review and approve Mechanical design calculations before submission.</p><br>
<p>Review and sign-off Mechanical material technical submittal before issuance to consultant.</p><br>
<p>Review and approve method statements in compliance with project specifications, authorities, etc...</p><br>
<p>Liaise with other technical departments(architect, structural..etc.............) for the relevant reviews, approvals etc.</p><br>
<p>Support the implementation of HSE initiatives, participate in safety awareness activities, and contribute to incident reporting and resolution in alignment with company and IMS policies</p><br> <br><br><u><b>Job Responsibilities 2</b></u>
<br><br><b>Additional Responsibilities 3</b>
<br><br><u><b>Job Knowledge & Skills</b></u>
<br><p>Technical background and ability to prepare and maintain tracking schedules</p><br>
<p>Technical knowledge of Mechanical Engineering parameters</p><br>
<p>Strong Knowledge of the Construction Field</p><br>
<p>Mechanical codes and Standards</p><br>
<p>NFPA</p><br>
<p>Local Regulations</p><br>
<p>UPDA Certified Engineer or Certification with attestation.</p><br><br><br><u><b>Job Experience</b></u>
<br><p>Minimum 8 year(s) working experience, 5 year(s) relevant working experience, 2 year (s) GCC is a plus</p><br><br><br><u><b>Competencies</b></u>
<br>Agility<br>AI Fluency<br>Resilience<br>Quality_321977507<br>Leadership_321977503<br>Electrical Instrumentation L3<br>PLC hardware trouble shooting and maintenance L3<br>Failure mode defect analysis L3<br>Reading Electrical Schemes L3<br>Electrical load diagrams / schedules and calculation L3<br><br><br><u><b>Education</b></u>
<br>Bachelor's Degree in Engineering<br><br><br><br>
</div>
<p><h4>Description</h4>
<p>We are looking for a sales engineer - cybersecurity services to join our managed services team and support the growth and delivery of our cybersecurity solutions.</p>
<p>As a sales engineer, you will act as a technical expert and trusted advisor to our sales team and clients, helping to identify cybersecurity needs and tailor solutions that address complex security challenges.</p>
<p>This role requires strong technical knowledge of cybersecurity products and services, combined with excellent communication and interpersonal skills to effectively articulate technical concepts to both technical and non-technical stakeholders.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Collaborate with sales, engineering, and operations teams to develop and present tailored cybersecurity service solutions.</li>
<li>Engage with prospective and existing clients to understand their security requirements and challenges.</li>
<li>Deliver technical presentations, demonstrations, and proof of concepts to articulate the value of our cybersecurity services.</li>
<li>Assist in the development of proposals, statements of work, and project scoping.</li>
<li>Provide technical support throughout the sales cycle, including responding to RFPs and RFIs.</li>
<li>Stay current with cybersecurity trends, technologies, and industry regulations to inform sales strategies.</li>
<li>Support marketing and business development initiatives by providing technical insights and content.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor’s degree in cybersecurity, computer science, engineering, or a related field.</li>
<li>3+ years of experience in cybersecurity solutions, consulting, or technical sales engineering.</li>
<li>Strong understanding of cybersecurity technologies, including network security, threat detection, identity and access management, and compliance standards.</li>
<li>Excellent communication and presentation skills, with the ability to translate technical information for diverse audiences.</li>
<li>Experience collaborating with sales teams and managing client relationships.</li>
<li>Ability to handle multiple projects and prioritize tasks in a fast-paced environment.</li>
<li>Willingness to travel as needed to meet with clients and attend industry events.</li>
</ul>
<h4>Preferred qualifications</h4>
<ul>
<li>Certifications such as CISSP, CISA, or sales engineering credentials.</li>
<li>Knowledge of cloud security platforms and managed security services.</li>
<li>Familiarity with cybersecurity frameworks like NIST, ISO 27001, or CSA CCM.</li>
<li>Experience working in managed services or consulting environments.</li>
</ul>
<h4>Benefits</h4>
<ul>
<li>Opportunity to work with a leading cybersecurity services company.</li>
<li>Exposure to major cybersecurity governance and compliance projects in KSA.</li>
<li>Remote work from Jordan.</li>
<li>Professional growth in cybersecurity consulting, risk, and compliance.</li>
<li>Collaborative and expert-driven work environment.</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>We are looking for a sales engineer - cybersecurity services to join our managed services team and support the growth and delivery of our cybersecurity solutions.</p>
<p>As a sales engineer, you will act as a technical expert and trusted advisor to our sales team and clients, helping to identify cybersecurity needs and tailor solutions that address complex security challenges.</p>
<p>This role requires strong technical knowledge of cybersecurity products and services, combined with excellent communication and interpersonal skills to effectively articulate technical concepts to both technical and non-technical stakeholders.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Collaborate with sales, engineering, and operations teams to develop and present tailored cybersecurity service solutions.</li>
<li>Engage with prospective and existing clients to understand their security requirements and challenges.</li>
<li>Deliver technical presentations, demonstrations, and proof of concepts to articulate the value of our cybersecurity services.</li>
<li>Assist in the development of proposals, statements of work, and project scoping.</li>
<li>Provide technical support throughout the sales cycle, including responding to RFPs and RFIs.</li>
<li>Stay current with cybersecurity trends, technologies, and industry regulations to inform sales strategies.</li>
<li>Support marketing and business development initiatives by providing technical insights and content.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor’s degree in cybersecurity, computer science, engineering, or a related field.</li>
<li>3+ years of experience in cybersecurity solutions, consulting, or technical sales engineering.</li>
<li>Strong understanding of cybersecurity technologies, including network security, threat detection, identity and access management, and compliance standards.</li>
<li>Excellent communication and presentation skills, with the ability to translate technical information for diverse audiences.</li>
<li>Experience collaborating with sales teams and managing client relationships.</li>
<li>Ability to handle multiple projects and prioritize tasks in a fast-paced environment.</li>
<li>Willingness to travel as needed to meet with clients and attend industry events.</li>
</ul>
<h4>Preferred qualifications</h4>
<ul>
<li>Certifications such as CISSP, CISA, or sales engineering credentials.</li>
<li>Knowledge of cloud security platforms and managed security services.</li>
<li>Familiarity with cybersecurity frameworks like NIST, ISO 27001, or CSA CCM.</li>
<li>Experience working in managed services or consulting environments.</li>
</ul>
<h4>Benefits</h4>
<ul>
<li>Opportunity to work with a leading cybersecurity services company.</li>
<li>Exposure to major cybersecurity governance and compliance projects in KSA.</li>
<li>Remote work from Jordan.</li>
<li>Professional growth in cybersecurity consulting, risk, and compliance.</li>
<li>Collaborative and expert-driven work environment.</li>
</ul></p><p></p>
<p>Responsibilities * Create and develop engaging content for Instagram, TikTok, Facebook, and other digital platforms. * Plan, shoot, and edit photos and short-form videos, Reels, and Stories. * Develop creative concepts and content ideas aligned with the brand strategy. * Write engaging captions, scripts, and promotional copy. * Cover events, workshops, classes, and brand activities through photo and video content. * Collaborate with the marketing, branding, and design teams to execute content campaigns. * Stay up to date with social media trends, formats, sounds, and content styles. * Manage and maintain a content calendar and ensure timely content delivery. * Monitor content performance and provide ideas for improving engagement and reach. * Ensure all content maintains a consistent visual identity and professional brand image. * Assist in developing campaigns and promotional materials when required. Qualifications * Bachelor s degree in Marketing, Communications, Media, Digital Marketing, or a related field is preferred. * Previous experience in content creation, social media, or digital marketing. * Strong photography and videography skills. * Proficiency in video and photo editing tools such as CapCut, Photoshop, or Adobe Premiere Pro & Canva. * Strong understanding of Instagram, TikTok, and other social media platforms. * Excellent creative thinking and storytelling skills. * Strong written and verbal communication skills. * Ability to work in a fast-paced, creative environment. * Strong attention to detail and a good sense of visual aesthetics. * A portfolio showcasing previous content creation work is highly preferred. Requirements * Experience in fashion, art, design, lifestyle, education, or creative industries . * Ability to appear confidently on camera when required. * Knowledge of current social media trends and algorithms. * Basic understanding of social media analytics and performance metrics. * Ability to independently develop content ideas from concept to execution.</p><p><strong>Desired Candidate Profile</strong></p><p>Qualifications * Bachelor s degree in Marketing, Communications, Media, Digital Marketing, or a related field is preferred. * Previous experience in content creation, social media, or digital marketing. * Strong photography and videography skills. * Proficiency in video and photo editing tools such as CapCut, Photoshop, or Adobe Premiere Pro & Canva. * Strong understanding of Instagram, TikTok, and other social media platforms. * Excellent creative thinking and storytelling skills. * Strong written and verbal communication skills. * Ability to work in a fast-paced, creative environment. * Strong attention to detail and a good sense of visual aesthetics. * A portfolio showcasing previous content creation work is highly preferred. Requirements * Experience in fashion, art, design, lifestyle, education, or creative industries . * Ability to appear confidently on camera when required. * Knowledge of current social media trends and algorithms. * Basic understanding of social media analytics and performance metrics. * Ability to independently develop content ideas from concept to execution.</p>
<p><h4>Description</h4>
<p>About the opportunity<br>
We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs. This organisation is developing the infrastructure and platforms that enable AI-powered public services at scale. The work spans sovereign model serving, vector infrastructure, retrieval systems, developer tooling, and deployment platforms that support critical government applications. This is a rare opportunity to build foundational AI infrastructure with significant real-world impact, in an environment where performance, reliability, and security are mission-critical.</p>
<h4>Role overview</h4>
<p>We are seeking a Staff AI Platform Engineer to own the platform infrastructure that enables engineering teams to build and operate AI systems efficiently and reliably. This is a senior individual contributor role focused on model serving, vector infrastructure, data pipelines, observability, and deployment platforms. Your success will be measured by the productivity and reliability gains you enable for other engineers.</p>
<p>You will combine deep platform engineering expertise with a strong understanding of AI workload requirements, including inference performance, retrieval systems, and operational complexity.</p>
<p>At the staff level, you will:</p>
<ul>
<li>Define and evolve the technical foundations of the AI platform</li>
<li>Build systems that accelerate engineering teams across the organisation</li>
<li>Set standards for reliability, security, and scalability</li>
<li>Lead architecture decisions and evaluate emerging technologies</li>
<li>Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow</li>
</ul>
<h4>Key responsibilities</h4>
<p><strong>AI platform infrastructure</strong><br>
Design and operate model serving infrastructure using vLLM, TGI, TensorRT-LLM, or similar technologies.<br>
Build and manage vector infrastructure, embedding pipelines, and retrieval systems.<br>
Develop data pipelines for document ingestion, transformation, and storage.<br>
Own deployment platforms, CI/CD pipelines, and infrastructure-as-code.</p>
<p><strong>Observability & reliability</strong><br>
Build observability across the AI stack, including latency, throughput, and model behavior monitoring.<br>
Define SLOs, perform capacity planning, and lead reliability engineering initiatives.<br>
Lead incident response, root-cause analysis, and postmortems.<br>
Establish platform standards for operational excellence.</p>
<p><strong>Force multiplication</strong><br>
Build reusable internal tooling, SDKs, and deployment patterns.<br>
Partner with engineering teams to translate infrastructure needs into scalable platform capabilities.<br>
Mentor engineers and raise technical standards across the organisation.</p>
<h4>Basic qualifications</h4>
<ul>
<li>10+ years of platform, infrastructure, or backend engineering experience</li>
<li>Proven experience operating at staff or principal engineer level</li>
<li>Deep expertise in Azure (AWS or GCP also valued)</li>
<li>Strong Kubernetes and Docker experience</li>
<li>Hands-on experience with Terraform, CI/CD pipelines, and infrastructure-as-code</li>
<li>Experience building production data pipelines</li>
<li>Proficiency in Python, Java/Kotlin, or Go</li>
<li>Strong PostgreSQL knowledge at production scale</li>
<li>Experience with distributed tracing, metrics, logging, and alerting</li>
<li>Practical use of AI coding assistants such as Codex or Claude Code</li>
<li>Excellent written and verbal communication skills</li>
</ul>
<h4>Preferred qualifications</h4>
<ul>
<li>Experience building RAG systems and retrieval infrastructure</li>
<li>Experience with LangGraph, LangChain, Semantic Kernel, or similar frameworks</li>
<li>Hands-on experience with GPU-based inference infrastructure</li>
<li>Experience with vector databases such as pgvector, Qdrant, Pinecone, or Weaviate</li>
<li>Familiarity with LLM inference optimization and evaluation frameworks</li>
<li>Experience with speech and conversational AI systems</li>
<li>Experience building internal developer platforms</li>
<li>Security and compliance experience in highly regulated environments</li>
</ul>
<h4>Technology stack</h4>
<p><strong>Backend & platform:</strong> Python, Java, Kotlin, Go, REST, gRPC<br>
<strong>AI infrastructure:</strong> vLLM, TGI, TensorRT-LLM, GPU Serving<br>
<strong>AI & LLM:</strong> LangChain, LangGraph, Microsoft Agent Framework, vector databases<br>
<strong>Data:</strong> PostgreSQL, Redis, DocumentDB, Azure Blob Storage<br>
<strong>Infrastructure:</strong> Azure, Docker, Kubernetes, Terraform, CI/CD<br>
<strong>Observability:</strong> Langfuse, Grafana, Prometheus, OpenTelemetry<br>
<strong>Security:</strong> Entra ID, RBAC, Secrets Management, Zero Trust<br>
<strong>AI development:</strong> Codex, Claude Code, OpenCode</p>
<h4>What we’re looking for</h4>
<p>You are an engineer who:</p>
<ul>
<li>Thinks in systems and enables others to move faster</li>
<li>Designs infrastructure that is reliable, scalable, and easy to operate</li>
<li>Grounds technical decisions in evidence and operational data</li>
<li>Raises engineering standards through architecture and mentorship</li>
<li>Communicates clearly and transparently</li>
<li>Embraces AI-native development practices</li>
</ul>
<h4>Why apply?</h4>
<p>This role offers the opportunity to shape the technical foundations of a world-class AI platform supporting transformative public services in Abu Dhabi. You will tackle complex infrastructure challenges at the intersection of AI, cloud computing, and platform engineering while delivering meaningful impact at a national scale.</p></p><p></p>
<p><h4>Description</h4>
<p>About the opportunity<br>
We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs. This organisation is developing the infrastructure and platforms that enable AI-powered public services at scale. The work spans sovereign model serving, vector infrastructure, retrieval systems, developer tooling, and deployment platforms that support critical government applications. This is a rare opportunity to build foundational AI infrastructure with significant real-world impact, in an environment where performance, reliability, and security are mission-critical.</p>
<h4>Role overview</h4>
<p>We are seeking a Staff AI Platform Engineer to own the platform infrastructure that enables engineering teams to build and operate AI systems efficiently and reliably. This is a senior individual contributor role focused on model serving, vector infrastructure, data pipelines, observability, and deployment platforms. Your success will be measured by the productivity and reliability gains you enable for other engineers.</p>
<p>You will combine deep platform engineering expertise with a strong understanding of AI workload requirements, including inference performance, retrieval systems, and operational complexity.</p>
<p>At the staff level, you will:</p>
<ul>
<li>Define and evolve the technical foundations of the AI platform</li>
<li>Build systems that accelerate engineering teams across the organisation</li>
<li>Set standards for reliability, security, and scalability</li>
<li>Lead architecture decisions and evaluate emerging technologies</li>
<li>Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow</li>
</ul>
<h4>Key responsibilities</h4>
<p><strong>AI platform infrastructure</strong><br>
Design and operate model serving infrastructure using vLLM, TGI, TensorRT-LLM, or similar technologies.<br>
Build and manage vector infrastructure, embedding pipelines, and retrieval systems.<br>
Develop data pipelines for document ingestion, transformation, and storage.<br>
Own deployment platforms, CI/CD pipelines, and infrastructure-as-code.</p>
<p><strong>Observability & reliability</strong><br>
Build observability across the AI stack, including latency, throughput, and model behavior monitoring.<br>
Define SLOs, perform capacity planning, and lead reliability engineering initiatives.<br>
Lead incident response, root-cause analysis, and postmortems.<br>
Establish platform standards for operational excellence.</p>
<p><strong>Force multiplication</strong><br>
Build reusable internal tooling, SDKs, and deployment patterns.<br>
Partner with engineering teams to translate infrastructure needs into scalable platform capabilities.<br>
Mentor engineers and raise technical standards across the organisation.</p>
<h4>Basic qualifications</h4>
<ul>
<li>10+ years of platform, infrastructure, or backend engineering experience</li>
<li>Proven experience operating at staff or principal engineer level</li>
<li>Deep expertise in Azure (AWS or GCP also valued)</li>
<li>Strong Kubernetes and Docker experience</li>
<li>Hands-on experience with Terraform, CI/CD pipelines, and infrastructure-as-code</li>
<li>Experience building production data pipelines</li>
<li>Proficiency in Python, Java/Kotlin, or Go</li>
<li>Strong PostgreSQL knowledge at production scale</li>
<li>Experience with distributed tracing, metrics, logging, and alerting</li>
<li>Practical use of AI coding assistants such as Codex or Claude Code</li>
<li>Excellent written and verbal communication skills</li>
</ul>
<h4>Preferred qualifications</h4>
<ul>
<li>Experience building RAG systems and retrieval infrastructure</li>
<li>Experience with LangGraph, LangChain, Semantic Kernel, or similar frameworks</li>
<li>Hands-on experience with GPU-based inference infrastructure</li>
<li>Experience with vector databases such as pgvector, Qdrant, Pinecone, or Weaviate</li>
<li>Familiarity with LLM inference optimization and evaluation frameworks</li>
<li>Experience with speech and conversational AI systems</li>
<li>Experience building internal developer platforms</li>
<li>Security and compliance experience in highly regulated environments</li>
</ul>
<h4>Technology stack</h4>
<p><strong>Backend & platform:</strong> Python, Java, Kotlin, Go, REST, gRPC<br>
<strong>AI infrastructure:</strong> vLLM, TGI, TensorRT-LLM, GPU Serving<br>
<strong>AI & LLM:</strong> LangChain, LangGraph, Microsoft Agent Framework, vector databases<br>
<strong>Data:</strong> PostgreSQL, Redis, DocumentDB, Azure Blob Storage<br>
<strong>Infrastructure:</strong> Azure, Docker, Kubernetes, Terraform, CI/CD<br>
<strong>Observability:</strong> Langfuse, Grafana, Prometheus, OpenTelemetry<br>
<strong>Security:</strong> Entra ID, RBAC, Secrets Management, Zero Trust<br>
<strong>AI development:</strong> Codex, Claude Code, OpenCode</p>
<h4>What we’re looking for</h4>
<p>You are an engineer who:</p>
<ul>
<li>Thinks in systems and enables others to move faster</li>
<li>Designs infrastructure that is reliable, scalable, and easy to operate</li>
<li>Grounds technical decisions in evidence and operational data</li>
<li>Raises engineering standards through architecture and mentorship</li>
<li>Communicates clearly and transparently</li>
<li>Embraces AI-native development practices</li>
</ul>
<h4>Why apply?</h4>
<p>This role offers the opportunity to shape the technical foundations of a world-class AI platform supporting transformative public services in Abu Dhabi. You will tackle complex infrastructure challenges at the intersection of AI, cloud computing, and platform engineering while delivering meaningful impact at a national scale.</p></p><p></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Job Summary: We are seeking an experienced SIEM Deployment Engineer to lead or support the deployment, configuration, and optimization of Splunk or SIEM solutions across enterprise environments.<br> The ideal candidate will possess strong technical knowledge in security operations, log management, and compliance, along with hands-on experience in implementing for clients.<br> Key Responsibilities: Lead end-to-end deployment of Splunk or SIEM platform, including planning, architecture design, installation, configuration, and tuning.<br> Integrate log sources from various platforms (Windows, Linux, firewalls, routers, endpoint protection, etc.<br>). Develop custom parsers and log normalization rules.<br> Build correlation rules, alerts, dashboards, and reports based on customer requirements.<br> Conduct use case development, threat detection tuning, and optimization of false positives.<br> Collaborate with SOC teams to ensure effective threat monitoring and incident detection.<br> Document implementation procedures, configuration guides, and troubleshooting steps.<br> Provide knowledge transfer and training to internal teams or clients.<br> Ensure compliance with industry standards (e.<br>g., NCA ECC, SAMA CSF, ISO 27001).<br> Required Skills and Qualifications: Bachelor’s degree in Computer Science, Cybersecurity, or related field.<br> 8-10 years of experience in Splunk or SIEM deployment and cybersecurity.<br> Proven experience with LogRhythm SIEM deployment in enterprise environments.<br> Strong understanding of log analysis, incident response, and threat detection.<br> Familiarity with log source integration: Windows Event Logs, Syslog, NetFlow, etc.<br> Scripting experience (PowerShell, Python, etc.<br>) is a plus.<br> Knowledge of cybersecurity frameworks (MITRE ATT&CK, NIST, etc.<br>) is an advantage.<br> LogRhythm certifications (e.<br>g., LogRhythm Deployment Fundamentals, LogRhythm Analyst) are a strong plus.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span><span><span><span>ManageEngine offers you more than 60 [enterprise IT management products]. (</span><span>https://www.manageengine.com/products.html?me-aboutus</span><span>) and over 60 [free tools] (</span><span>https://www.manageengine.com/free-tools.html?me-aboutus</span><span>) for identity and access management, enterprise service management, unified endpoint management and security, IT operations management, security information and event management, advanced IT analytics, and low-code app development. Your deployment options include on-premises, cloud-native, cloud-ready, and MSP models.</span></span></span><br><br><b><span><span><span>Role:</span></span></span></b><span><span><span>Presales Technical Consultant</span></span></span><br><b><span><span><span>Work Location:</span></span></span></b><span><span><span>Amman, Jordan</span></span></span><br><br><br><span><span><span>As a PreSales Technical Consultant at ManageEngine (Division of Zoho Corporation), you will assist the Sales/Business Development team by problem-solving key technical issues for our customers.</span></span></span><br><br><b><span><span><u><span>Roles and Responsibilities:</span></u></span></span></b><br><br></span><ul><li><span><span><span>We are looking for a PreSales Engineer with excellent technical, communication and organizational skills.</span></span></span><br></li><li><span><span><span>Work with Sales team to identify and qualify business opportunities. One of the main roles will be to technically qualify the IT needs of a prospect.</span></span></span><br></li><li><span><span><span>Any knowledge in Windows server management/Active Directory, ITService Management and Desktop management, ITIL, IT Security, ITOperations Management product will be of advantage. Knowledge about Cloud infrastructure will be a key factor too.</span></span></span><br></li><li><span><span><span>Will have to perform product presentation online/onsite to our customer internationally and provide all necessary support at the evaluation stage.</span></span></span><br></li><li><span><span><span>Understanding of the day to day IT problems that our customer face and to recommend the ManageEngine solutions through Proof of Concept, completing RFQ documents and involve in the complete Pre-Sales cycle.</span></span></span><br></li><li><span><span><span>Will have to work closely with Product & other internal teams to discuss on complex customer environment.</span></span></span><br></li><li><span><span><span>Will have to be qualified in Advanced level of Arabic in writing, speaking and reading.</span></span></span><br></li></ul><br> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span><u><b>Job Summary</b></u>
<br></span><p>The Senior Project Engineer ensures that projects are completed in a safely manner and meets the project objectives through planning and scheduling, resource allocation and management, cost control, technical direction, compliance with quality standards and procedures. Assists the Project Manager in overseeing the Operational Management areas: Human Resource Management, Project Planning, Cost Management, Time Management, Quality Management, Contract Administration, Safety Management, Subcontract management, Material Procurement and Management of all Projects System Assembly</p><br> <br><br><u><b>Job Responsibilities 1</b></u>
<br><p>Manage and oversee projects from conception to completion, ensuring adherence to schedules, budgets, and quality standards.</p><br>
<p>Coordinate with architects, engineers, contractors, and subcontractors to develop project plans, specifications, and timelines.</p><br>
<p>Supervise activities on-site, including scheduling labor, materials, and equipment to ensure efficient project execution.</p><br>
<p>Monitor project progress, identifying potential delays, risks, and issues, and implementing corrective actions as necessary.</p><br>
<p>Conduct regular inspections and quality control checks to ensure compliance with design specifications and regulatory requirements.</p><br>
<p>Prepare and review project documentation, including contracts, change orders, and progress reports, to maintain accurate records.</p><br>
<p>Communicate regularly with clients, stakeholders, and project teams to provide updates on project status, milestones, and deliverables.</p><br>
<p>Manage project budgets and expenditures, tracking costs and forecasting expenses to ensure financial objectives are met.</p><br>
<p>Identify opportunities for process improvements and efficiencies to enhance project delivery and outcomes.</p><br>
<p>Ensure compliance with safety regulations and promote a culture of safety awareness among project teams and subcontractors.</p><br>
<p>Support the implementation of HSE initiatives, participate in safety awareness activities, and contribute to incident reporting and resolution in alignment with company and IMS policies</p><br> <br><br><u><b>Job Responsibilities 2</b></u>
<br><br><b>Additional Responsibilities 3</b>
<br><br><u><b>Job Knowledge & Skills</b></u>
<br><p>n-depth understanding of construction principles, methods, and materials.</p><br>
<p>Proficiency in project management software and tools for scheduling, budgeting, and documentation.</p><br>
<p>Strong communication skills to effectively liaise with stakeholders, subcontractors, and project teams.</p><br>
<p>Problem-solving abilities to address challenges and obstacles encountered during project execution.</p><br>
<p>Leadership skills to effectively manage teams and coordinate construction activities on-site.</p><br>
<p>ERP knowledge preferably SAP functional skills are a requirement to be successful in this role.</p><br><br><br><u><b>Job Experience</b></u>
<br><p>Minimum 8 year(s) working experience, 5 year(s) relevant working experience, 2 year (s) GCC is a plus</p><br><br><br><u><b>Competencies</b></u>
<br>Agility<br>AI Fluency<br>Resilience<br>Quality<br>Leadership<br>Contingency Workforce Management L3<br>Commercial & Residential Construction L3<br>Project Planning L3<br>Construction Budgeting L3<br>Project Management L3<br><br><br><u><b>Education</b></u>
<br>Profesional degree in MMUP Engineer Registration (UPDA)<br>Bachelor's Degree in Civil Engineering or any related field<br><br><br><br>
</div>
<p><h4>Description</h4>
<p>Manual & automation QA engineer</p>
<p>We're looking for a skilled QA engineer who's equally comfortable crafting detailed test plans by hand and building robust automation frameworks. You'll ensure that every feature we ship meets the highest quality bar — including our growing suite of AI-powered capabilities.</p>
<h4>Our stack</h4>
<p><strong>Test automation:</strong> Playwright / Cypress<br>
<strong>Unit & integration:</strong> Jest / Pytest<br>
<strong>API testing:</strong> REST & GraphQL<br>
<strong>Database:</strong> PostgreSQL<br>
<strong>DevOps:</strong> CI/CD pipelines, GitHub Actions, AWS<br>
<strong>AI:</strong> AI agents / LLMs (non-deterministic testing)</p>
<h4>What you'll do</h4>
<ul>
<li>Design, write, and maintain manual test plans and test cases for features across the full product</li>
<li>Build and scale automation frameworks for regression, integration, and end-to-end testing</li>
<li>Test AI-powered features including LLM outputs, agent behavior, and model responses for accuracy, safety, and consistency</li>
<li>Collaborate closely with developers and product managers to shift QA left in the development lifecycle</li>
<li>Define and track quality metrics, identify risk areas, and surface issues early before they reach production</li>
<li>Develop evaluation strategies for non-deterministic systems — including prompt variation testing and output validation pipelines</li>
<li>Participate in sprint planning and retrospectives as the quality voice on the team</li>
</ul>
<h4>What we're looking for</h4>
<ul>
<li>2+ years of professional experience in software quality assurance, covering both manual and automation testing</li>
<li>Hands-on experience testing AI agents, LLM-powered features, or ML models — understanding their non-deterministic nature is a must</li>
<li>Proficiency in at least one modern automation framework (Playwright, Cypress, Selenium, or equivalent)</li>
<li>Strong API testing skills using tools like Postman, REST Assured, or similar</li>
<li>Experience working in agile environments with CI/CD pipelines and integrated test gates</li>
<li>A methodical, curious mindset — you find edge cases others miss, and you document everything clearly</li>
<li>Solid communication skills to write clear bug reports, test documentation, and quality summaries</li>
</ul>
<h4>Bonus points if you…</h4>
<ul>
<li>Have experience evaluating agentic workflows, multi-step reasoning chains, or RAG pipelines</li>
<li>Have worked with LLM evaluation frameworks like RAGAS, LangSmith, or Promptfoo</li>
<li>Use AI coding tools like Cursor or Claude in your daily QA workflow — we actively encourage it</li>
<li>Have built custom eval harnesses or synthetic test data generators using LLMs</li>
</ul>
<h4>AI-first culture</h4>
<p>We don't just build AI — we test it rigorously. Our QA engineers use Cursor and Claude to move faster, write better test cases, and automate the repetitive work. If you're already approaching quality assurance with AI tools in hand, you'll feel right at home.</p></p><p></p>
<p><h4>Description</h4>
<p>Manual & automation QA engineer</p>
<p>We're looking for a skilled QA engineer who's equally comfortable crafting detailed test plans by hand and building robust automation frameworks. You'll ensure that every feature we ship meets the highest quality bar — including our growing suite of AI-powered capabilities.</p>
<h4>Our stack</h4>
<p><strong>Test automation:</strong> Playwright / Cypress<br>
<strong>Unit & integration:</strong> Jest / Pytest<br>
<strong>API testing:</strong> REST & GraphQL<br>
<strong>Database:</strong> PostgreSQL<br>
<strong>DevOps:</strong> CI/CD pipelines, GitHub Actions, AWS<br>
<strong>AI:</strong> AI agents / LLMs (non-deterministic testing)</p>
<h4>What you'll do</h4>
<ul>
<li>Design, write, and maintain manual test plans and test cases for features across the full product</li>
<li>Build and scale automation frameworks for regression, integration, and end-to-end testing</li>
<li>Test AI-powered features including LLM outputs, agent behavior, and model responses for accuracy, safety, and consistency</li>
<li>Collaborate closely with developers and product managers to shift QA left in the development lifecycle</li>
<li>Define and track quality metrics, identify risk areas, and surface issues early before they reach production</li>
<li>Develop evaluation strategies for non-deterministic systems — including prompt variation testing and output validation pipelines</li>
<li>Participate in sprint planning and retrospectives as the quality voice on the team</li>
</ul>
<h4>What we're looking for</h4>
<ul>
<li>2+ years of professional experience in software quality assurance, covering both manual and automation testing</li>
<li>Hands-on experience testing AI agents, LLM-powered features, or ML models — understanding their non-deterministic nature is a must</li>
<li>Proficiency in at least one modern automation framework (Playwright, Cypress, Selenium, or equivalent)</li>
<li>Strong API testing skills using tools like Postman, REST Assured, or similar</li>
<li>Experience working in agile environments with CI/CD pipelines and integrated test gates</li>
<li>A methodical, curious mindset — you find edge cases others miss, and you document everything clearly</li>
<li>Solid communication skills to write clear bug reports, test documentation, and quality summaries</li>
</ul>
<h4>Bonus points if you…</h4>
<ul>
<li>Have experience evaluating agentic workflows, multi-step reasoning chains, or RAG pipelines</li>
<li>Have worked with LLM evaluation frameworks like RAGAS, LangSmith, or Promptfoo</li>
<li>Use AI coding tools like Cursor or Claude in your daily QA workflow — we actively encourage it</li>
<li>Have built custom eval harnesses or synthetic test data generators using LLMs</li>
</ul>
<h4>AI-first culture</h4>
<p>We don't just build AI — we test it rigorously. Our QA engineers use Cursor and Claude to move faster, write better test cases, and automate the repetitive work. If you're already approaching quality assurance with AI tools in hand, you'll feel right at home.</p></p><p></p>
<p>MID Contracting Company is looking for a talented BIM Infrastructure Engineer to join our construction team. The role focuses primarily on BIM-based infrastructure modeling, coordination, and technical support. This position is ideal for a BIM professional with strong exposure to infrastructure works who is looking to contribute directly to site coordination, clash resolution, and construction-driven BIM implementation within a contracting environment.</p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Job Title
<br></span><p>Associate - Presales</p><br><br><br>Job Scope
<br><p><span>The Associate - Presales supports the Sales team with technical coordination, material preparation, and relationship management for effective pre-sales operations.</span></p><br><br><br>Main Duties and Responsibilities
<br><ul>
<li>Assist the Sales team by coordinating technical aspects of pre-sales activities;</li>
<li>Support the Sales team in responding to customers requests understanding requirements, and tailoring proposals;</li>
<li>Support the Presales Engineer in creating demos, proposal documentations, and presentations;</li>
<li>Complete required pre-sales documentation in a quick and accurate manner;</li>
<li>Provide support to the company partners and customers;</li>
<li>Respond to after-hours support queries during assigned rotations and escalate issues if needed.</li>
</ul><br><br>Position Requirements
<br><br>Education
<br><ul>
<li>Bachelor's degree in Computer Science, Information Technology, Computer Engineering, Telecommunications, Information Systems, or a related technical discipline.</li>
<li>Prefer to have Fundamental certifications such as Microsoft Azure Fundamentals (AZ-900), AWS Cloud Practitioner, Cisco CCNA, IBM, VMware VCTA, Fortinet NSE, or similar are considered a plus.</li>
</ul><br><br>Experience
<br><ul>
<li>Fresh graduate or up to 1 year of experience in Presales, Technical Support, IT Infrastructure, or System Administration.</li>
<li>Good understanding of enterprise IT concepts, including networking, virtualization, cloud computing, cybersecurity, storage, or data center technologies.</li>
<li>Basic knowledge of one or more leading technology vendors such as IBM, Citrix, VMware, Microsoft, Red Hat, Dell Technologies, HPE, Lenovo, Cisco, Fortinet, or similar is an advantage.</li>
<li>Strong analytical and problem-solving skills with the ability to understand customer business and technical requirements.</li>
<li>Excellent verbal and written communication skills with confidence in delivering technical presentations.</li>
<li>Strong willingness to learn new technologies and build technical expertise through certifications and vendor training.</li>
<li>Internship or academic projects related to enterprise infrastructure, cloud, networking, cybersecurity, or digital transformation.</li>
</ul>
<p>#LI-DNI</p><br>
<br><br><br>
</div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Provide secured remote operational support across identity and access management and vulnerability management.<br> The role performs approved technical activities and tracking; access approvals, security policy, risk acceptance and regulatory accountability.<br> • Support user, privileged and service-account administration through approved requests and access workflows.<br> • Assist with periodic access reviews, joiner/mover/leaver controls and evidence preparation.<br> • Operate approved vulnerability scanning and reporting tools and validate findings with system owners.<br> • Maintain vulnerability, exception and remediation trackers and coordinate technical follow-up.<br> • Support IAM, MFA, privileged-access and directory-service incidents within authorised access boundaries.<br> • Provide metrics, evidence and trend analysis for security reporting and governance reviews.<br> • Escalate overdue, critical or policy-related matters to the onsite Security Engineer.<br> • Maintain operational procedures, access-control records and vulnerability-management documentation.<br> • Minimum 5 years of relevant IAM and/or vulnerability-management experience, with credible practical exposure to both domains.<br> • Experience with Microsoft identity services, SailPoint, CyberArk or equivalent IAM/PAM platforms.<br> • Experience with enterprise vulnerability-scanning and remediation-tracking platforms.<br> • Microsoft Identity, SailPoint, CyberArk, CEH, OSCP, GPEN or equivalent certification preferred.<br> • Strong understanding of privileged access, least privilege, remediation governance and audit evidence.<br> Preferred Profile • Previous experience supporting UAE government or regulated cybersecurity environments.<br> • Working knowledge of TDRA-hosted environments and related security-access processes.<br> • Experience operating through secured remote-access and privileged-session controls.<br> Expected Contribution • Access and vulnerability activities are completed only through approved workflows.<br> • Critical findings and overdue actions are escalated with clear ownership.<br> • Evidence and trackers remain accurate, current and audit-ready.<br></span> </div>
<p><h4>About Lucidya</h4>
<p>Lucidya is an AI-native platform for customer experience (CX) intelligence that manages entire customer lifecycles autonomously, from initial engagement through retention and growth.</p>
<p>Unlike platforms that only surface insights and leave the action to you, Lucidya completes the loop with proprietary NLU capabilities developed entirely in-house and trained on millions of multilingual conversations, equipping marketing, support, CX, and research teams to deliver personalized experiences that drive measurable improvements in customer satisfaction, retention, and lifetime value.</p>
<h4>Why this role matters</h4>
<p>At Lucidya, we are building products that help some of the region's most recognizable brands understand and engage with their customers at scale. As our platform grows, so does the complexity of the problems we solve.</p>
<p>Great product ideas are easy. Turning them into products that customers actually use, engineers can confidently build, and the business can successfully launch is much harder.</p>
<p>That's where this role comes in.</p>
<p>As a Product Owner, you'll sit at the center of product delivery. You'll be responsible for turning customer problems, product strategy, and business priorities into clear, actionable work that engineering and design teams can execute with confidence.</p>
<p>Your impact won't be measured by how many Jira tickets you create. It will be measured by how effectively you help the team build the right things, reduce delivery friction, avoid costly rework, and deliver meaningful value to customers faster.</p>
<p>You'll work closely with Product Managers, Designers, Engineers, QA, and customer-facing teams to ensure everyone understands the problem we're solving, why it matters, and what success looks like.</p>
<p>If you enjoy bringing structure to ambiguity, asking great questions, and helping teams move faster without sacrificing quality, you'll thrive here.</p>
<h4>What you'll do</h4>
<li>Create clarity where others see complexity</li>
<p>You'll take customer feedback, business requests, product strategy, and technical requirements and transform them into clear user stories, acceptance criteria, workflows, and requirements that teams can confidently build from.</p>
<li>Own squad readiness</li>
<p>You'll make sure backlog items are ready before they enter development. Engineers shouldn't be discovering major requirements halfway through a sprint. You'll ensure the team has the context, detail, and alignment needed to deliver predictably.</p>
<li>Help the team build the right things</li>
<p>You'll partner closely with Product Managers to break large initiatives into smaller, valuable releases that allow us to learn quickly and deliver customer value faster.</p>
<li>Drive productive collaboration</li>
<p>You'll act as the bridge between product, design, engineering, QA, and customer-facing teams, ensuring everyone is aligned on priorities, scope, dependencies, and expected outcomes.</p>
<li>Challenge unclear thinking</li>
<p>When requirements are vague, assumptions are risky, or priorities don't make sense, you'll ask the hard questions. Respectfully, but confidently.</p>
<li>Reduce delivery friction</li>
<p>You'll identify risks, dependencies, and gaps before they become problems. Your goal is to help the team spend less time clarifying work and more time delivering value.</p>
<li>Protect quality and customer experience</li>
<p>You'll think beyond the happy path by considering edge cases, permissions, error handling, workflows, and usability before features reach customers.</p>
<li>Support successful launches</li>
<p>You'll help ensure internal teams understand what is being released, how it works, and what customers should expect through clear release notes, documentation, and enablement materials.</p>
<h4>Requirements</h4>
<h4>Who you are</h4>
<li>You bring structure without creating bureaucracy</li>
<p>You love organization, but you know process should help teams move faster, not slow them down.</p>
<li>You care about outcomes, not ticket completion</li>
<p>Closing a story isn't success. Solving a customer problem is.</p>
<li>You ask great questions</li>
<p>You naturally challenge assumptions, uncover hidden requirements, and identify risks before they become expensive mistakes.</p>
<li>You communicate clearly</li>
<p>You can explain a complex technical requirement to a designer, a customer problem to an engineer, and a product decision to a stakeholder without creating confusion.</p>
<li>You thrive in cross-functional environments</li>
<p>You enjoy working closely with engineers, designers, QA, Product Managers, and customer-facing teams to solve problems collaboratively.</p>
<li>You have strong product delivery experience</li>
<p>You have at least 3 years of experience as a Product Owner, Business Analyst, Associate Product Manager, or a similar role where you've owned requirements, backlog management, and delivery readiness.</p>
<li>You're comfortable with technical concepts</li>
<p>You don't need to write code, but you're comfortable discussing APIs, integrations, data models, permissions, workflows, and platform behavior with engineering teams.</p>
<li>You're comfortable with ambiguity</li>
<p>You won't always receive perfect requirements or complete information. You're able to create clarity and move things forward without waiting for every answer.</p>
<p>You'll likely stand out if you have experience with:</p>
<li>B2B SaaS products</li>
<li>Customer experience (CX) platforms</li>
<li>Social listening or customer engagement tools</li>
<li>CRM, CDP, analytics, or workflow products</li>
<li>AI-powered products and automation</li>
<li>Arabic-first or MENA-focused products</li>
<li>Product analytics and adoption metrics</li>
<h4>What success looks like</h4>
<p>Within your first few months:</p>
<li>Backlog items enter development with significantly fewer unanswered questions.</li>
<li>Sprint planning becomes more predictable because work is properly prepared and understood.</li>
<li>Engineers spend less time seeking clarification and more time building.</li>
<li>Rework decreases because requirements, edge cases, and acceptance criteria are defined upfront.</li>
<li>Stakeholders trust delivery updates because expectations, trade-offs, and risks are communicated clearly.</li>
<li>Product releases are smoother because internal teams are prepared and aligned.</li>
<li>Most importantly, customers receive better products because the team consistently understands the problem before building the solution.</li>
<h4>What the hiring process will look like</h4>
<li>Intro call with TA</li>
<li>Interview with HM</li>
<li>Case study</li>
<li>Presentation interview</li>
<li>Culture fit / offer</li>
<p>At Lucidya, we care deeply about ownership, curiosity, speed, and continuous improvement. We look for people who challenge ideas respectfully, communicate openly, and genuinely care about building products that solve real customer problems.</p>
<p>If that sounds like the environment where you do your best work, we'd love to meet you.</p></p><p></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>Teach agents to operate new web portals: navigation, search, fi ltering, pagination, and downloadingdocuments.</p><p>Handle the messy reality of real websites:</p><p>logins and session handling</p><p>steps that need a person (for example multi-factor login), handed over cleanly to a human</p><p>broken search, inconsistent categories, and unexpected pop-ups</p><p>Monitor agent runs, diagnose failures from traces and replays, and fi x them.</p><p>Detect when a portal changes and work with the AI Engineer – Agent Learning & Evaluation soagents adapt without breaking.</p><p>Build tests against recorded sessions so changes can be checked before they reach production.</p><p>Work with the business users who supervise the agents to understand what "done" looks like andturn their feedback into improvements.</p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><p>Must have</p><p>6+ years of software engineering, including 1+ year building LLM agents or browser automation atscale.</p><p>Strong experience with</p><p>browser automation</p><p>: Playwright, Puppeteer, or Selenium. A goodunderstanding of the DOM, the Chrome DevTools Protocol, network traffi c, and authentication</p><p>fl</p><p>ows.</p><p>Strong</p><p>Python</p><p>and/or</p><p>TypeScript</p><p>.</p><p>Excellent debugging skills: you enjoy working out why something failed on a site you don't control.</p><p>Working knowledge of the core AI topics below.</p><p>Nice to have</p><p>Vision-language models for UI agents (e.g. Qwen-VL, UI-TARS) and grounding actions to screenelements.</p><p>Agent-oriented browser frameworks (e.g. Stagehand, browser-use).</p><p>Experience making large-scale web automation reliable (retries, rate limits, change detection).</p><p>Experience with Arabic-language websites.</p><p>Core AI knowledge</p><p>We expect every AI Engineer on our team to be able to discuss these topics with confi dence. For this rolewe expect depth in agentic AI and computer use, and working knowledge of the rest.</p><p>How LLMs work:</p><p>the Transformer architecture, tokenisation, decoding and sampling, the trainingpipeline (pre-training, SFT, RLHF / DPO, RL with verifi able rewards), and common failure modessuch as hallucination and prompt injection.</p><p>Agentic AI:</p><p>agent patterns (ReAct, plan-and-execute, refl ection), tool design, context engineering,and safety controls (permissions, sandboxing, human-in-the-loop).</p><p>Computer use:</p><p>how agents perceive and act on user interfaces: screenshots and vision-languagemodels, DOM and accessibility trees, grounding actions to UI elements, and checking the resultafter each action.</p><p>Protocols:</p><p>Model Context Protocol (MCP) and Agent2Agent (A2A).</p><p>Agent harnesses:</p><p>what sits around the model (the loop, tools, permissions, sandboxes, contextmanagement), and hands-on experience with at least one agent framework or SDK.</p><p>Behavioural vs procedural approaches:</p><p>when to let the model decide the steps and when todefi ne them in code, and how to combine the two.</p><p>Benchmarks:</p><p>what computer-use and web benchmarks (OSWorld, WebArena, Online-Mind2Web,ScreenSpot) measure, and why real-world reliability differs from benchmark scores.</p></div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Crystalia Glass LLC is a U.<br>S.-based manufacturer and provider of premium custom glass solutions for residential, commercial, and institutional projects.<br> For more than 9 years, we have operated as a full-cycle company, managing every stage of the process—from design and manufacturing to sales, delivery, and installation.<br> With production facilities in both the United States and Europe, we deliver high-quality solutions to customers across the U.<br>S. As our business continues to grow, we are expanding our Supply Engineering team and are looking for an experienced Supply Engineering Team Lead to help scale our operations, optimize supply processes, and lead a high-performing team.<br> This is a full-time leadership position available either remotely or on-site at our Brooklyn, New York office.<br> The Role The Supply Engineering Team Lead will report directly to the Chief Technical Officer and lead a team of four Supply Engineers .<br> Approximately 80% of the role focuses on team leadership, coordination, process improvement, and cross-functional collaboration, while 20% involves hands-on supply engineering activities to support the team during peak workload, employee absences, or complex projects.<br> The successful candidate will play a key role in ensuring efficient procurement operations, developing internal processes, and maintaining strong relationships with suppliers across the United States, Europe, the Middle East, and Asia.<br> Responsibilities 1.<br> Procurement operations Launch production by coordinating glass orders and ensuring the availability of required hardware and materials.<br> Plan inventory levels and forecast procurement needs.<br> Review technical drawings and specifications to prepare accurate material lists.<br> Verify dimensions, finishes, and quality requirements before placing orders.<br> Track engineering documentation and procurement changes throughout the project lifecycle.<br> Ensure procurement documentation and component orders are completed before production and container arrivals.<br> 2. Supplier management Source, evaluate, and develop relationships with suppliers across the United States, Europe, the Middle East, and Asia .<br> Negotiate pricing, payment terms, and delivery schedules.<br> Manage purchasing activities for production, warehouse, and installation operations.<br> Monitor supplier performance and resolve quality, logistics, and delivery issues.<br> Identify opportunities to improve procurement efficiency, supplier performance, and cost optimization.<br> 3. Cross-functional collaboration Work closely with Sales, Project Managers, Engineers, Estimators, Warehouse, and Installation teams.<br> Support engineering changes, material substitutions, and procurement planning.<br> Provide procurement expertise, material recommendations, and pricing information for projects.<br> Ensure purchased materials meet project specifications and technical documentation.<br> 4. Team leadership Lead, mentor, and develop a team of four Supply Engineers.<br> Assign tasks, prioritize workloads, and monitor project deadlines.<br> Conduct regular one-on-one meetings and provide coaching and performance feedback.<br> Review procurement documentation, material lists, and purchase orders prepared by the team.<br> Support engineers with complex sourcing challenges and supplier escalations.<br> Coordinate procurement activities with internal stakeholders across departments.<br> Drive continuous improvement initiatives and optimize procurement workflows.<br> Report progress, risks, and operational updates to the Chief Technical Officer.<br> Competitive salary based on experience.<br> Paid Time Off: 5 paid vacation days during the first year.<br> 15 paid vacation days annually starting from the second year.<br> Paid Sick Leave: 5 days per year.<br> Protected Time Off: 32 hours per year.<br> Why Join Crystalia Glass Join a growing U.<br>S.-based company with 9 years of experience delivering custom glass solutions for residential, commercial, and institutional projects.<br> Take ownership of a key operational function and help shape procurement processes as the company continues to scale.<br> Lead a talented Supply Engineering team and make a direct impact on efficiency, collaboration, and business growth.<br> Work closely with executive leadership and have the opportunity to influence decisions and process improvements.<br> Be part of a full-cycle company managing everything from design and manufacturing to sales, delivery, and installation.<br> Work on complex, high-quality custom projects for customers across the United States.<br> Collaborate with an international team and build relationships with suppliers across the U.<br>S., Europe, the Middle East, and Asia.<br> Grow professionally in a fast-paced environment where your expertise and ideas can make a real difference.<br> Bachelor’s degree in Engineering .<br> 3+ years of experience as a Procurement Engineer, Supply Engineer, or in a similar engineering procurement role on the US market.<br> Previous people management or team leadership experience.<br> Experience working with suppliers across international markets, including the United States, Europe, the Middle East, and Asia .<br> Experience with procurement, sourcing, and import/export of engineering or production materials.<br> Ability to read and interpret technical drawings and engineering documentation.<br> Proficiency in AutoCAD.<br> Proficiency in Microsoft Office, Google Workspace, and PDF tools.<br> Experience working with task management systems such as ClickUp or similar.<br> Fluent English is a must.<br> Fluent Russian will be a plus.<br> Personal qualities Confident and proactive leader.<br> Strong organizational and multitasking skills.<br> Excellent communication and stakeholder management skills.<br> Strong problem-solving and decision-making abilities.<br> High level of ownership and accountability.<br> Ability to work effectively in a fast-paced environment.<br> Work Location Remote or On-site — Brooklyn, New York.<br> Monday–Friday.<br> Working hours: 8:30 AM – 5:00 PM.<br></span> </div>