Real Estate Sales Jobs - Amman Jordan
905 Jobs Found
Mercy Corps
Jordan - Amman
<p class="x_xmsonormal" ><b><span >Estimated Duration:</span></b><span > from contract signing until November 2026</span></p>
<p class="x_xmsonormal" ><b><i><span >** This opportunity is only open for national individual consultants. Companies or non-Jordanians are not eligible to apply.</span></i></b></p>
<p class="x_MsoNormal" ><span > </span></p>
<p class="x_MsoNormal" ><a name="x__Toc233806924" ></a><a name="x__Toc233880839" ><span ><b><span >About Mercy Corps</span></b></span></a></p>
<p class="x_MsoNormal" ><span ><span ><span >Mercy Corps is an international relief and development organization that operates in more than 40 countries around the world, whereby its Jordan office was founded in 2006 and has since worked to expand clean water access, strengthen youth and women's civic participation, and boost economic stability for both Jordanians and refugees. Mercy Corps Jordan partners with local governments and organizations to support communities in building economically secure and more peaceful futures, with programs focused on climate resilience, sustainable livelihoods, and inclusive economic growth.</span></span></span></p>
<p class="x_MsoNormal" > </p>
<p class="x_MsoNormal" ><span ><span ><b><span >About Iqlaa</span></b></span></span></p>
<p class="x_MsoNormal" ><span ><span >The Informal Livelihoods Advancement Activity (Iqlaa), funded by the United States Government - implemented by Mercy Corps as lead implementer within an implementation consortium of six partners, aims to support Jordan's Home-Based Businesses (HBBs) and Micro and Small Enterprises (MSEs) to grow, transform, and become resilient to future challenges. Iqlaa’s approach explores new ways of doing business and improving access to finance, markets, and services. It focuses on four sectors: agriculture, tourism and hospitality, manufacturing, and services, with a special focus on technology development and implementation. The program encourages and supports the participation of all MSE-owner segments. </span></span></p>
<p class="x_MsoNormal" ><span ><span > </span></span></p>
<p class="x_MsoNormal" ><span ><span >Through research and adaptive collaborative learning, Iqlaa has identified opportunities, incentives, and constraints that facilitate or restrict formalization and growth. Based on findings, Iqlaa implements best practices to strengthen businesses and develop an MSE-focused financial sector within a market systems development framework. Program activities are delivered with a strong localization element to respond to specific market needs and the local context. Iqlaa also leverages innovative behavioral change methodologies to facilitate long-term, sustainable changes in the MSEs ecosystem in Jordan.</span></span></p>
<p class="x_MsoNormal" ><span ><span > </span></span></p>
<p class="x_MsoNormal" ><span ><span >Using a Market Systems Development (MSD) approach, Mercy Corps collaborates with private sector market actors to pilot and scale innovative solutions that address key market constraints. These partnerships aim to catalyze sustainable business practices that continue beyond the duration of the Activity.</span></span></p>
<p class="x_MsoNormal" ><span > </span></p>
<p class="x_MsoNormal" ><a name="x__Toc233806926" ><b><span >Activity Description</span></b></a></p>
<p class="x_MsoNormal" ><span >As part of its market systems development (MSD) approach, Iqlaa is supporting a digital marketplace operating in the home improvement sector to strengthen its operations and marketing foundations, connecting a network of local merchants and suppliers to customers nationwide and improving market participation for micro and small enterprises (MSEs) across Jordan.</span></p>
<p class="x_MsoNormal" ><span > </span></p>
<p class="x_MsoNormal" ><span >To support this effort, Mercy Corps, withing the scope of Iqlaa, seeks to engage a national individual consultant to develop a comprehensive marketing strategy and a structured product taxonomy for the marketplace. The consultant will work in close coordination with Iqlaa’s partner team and Mercy Corps Jordan, following Mercy Corps Jordan’s procurement and compliance requirements as a United States Government-funded program.</span></p>
<p class="x_MsoNormal" ><span > </span></p>
<p class="x_MsoNormal" ><b><span >Scope of Work</span></b></p>
<p class="x_MsoNormal" ><span >You can download the full Scope of Work including the evaluation criteria and the required submittals through this link:</span></p>
<p class="x_MsoNormal" ><span ><a href="https://drive.google.com/drive/folders/1Fwf0pyLKveNsiUNFYVslRbVjBw-NRSoC?usp=sharing" rel="noopener noreferrer" title="https://drive.google.com/drive/folders/1Fwf0pyLKveNsiUNFYVslRbVjBw-NRSoC?usp=sharing">https://drive.google.com/drive/folders/1Fwf0pyLKveNsiUNFYVslRbVjBw-NRSoC?usp=sharing</a></span></p>
<p class="x_MsoNormal" ><span > </span></p>
<p class="x_MsoNormal" ><b><span >How to Apply</span></b></p>
<p class="x_MsoNormal" ><span >Please submit the following at <a href="mailto:jo-procurement@mercycorps.org" title="mailto:jo-procurement@mercycorps.org">jo-procurement@mercycorps.org</a>, mentioning the consultancy title in the subject line. Offers must be submitted <b>maximum by Tuesday 28 July, 2026 at 4:00 pm Amman time</b>:</span></p>
<ol start="1" type="1">
<li class="x_MsoListParagraph" ><span >All the documents requested in the <b><i>“Application”</i></b><i> </i>section in the SOW document (pages 5-6) .</span></li>
<li class="x_MsoListParagraph" ><span >A copy of your Jordanian ID or passport.</span></li>
<li class="x_MsoListParagraph" ><span >A screenshot showing the applicant’s active account on <b>Jo Fawtara</b> system.</span></li>
<li class="x_MsoListParagraph" ><span >A filled & signed copy of the NIC Data Form in this link: <a href="https://drive.google.com/drive/folders/1XByAzzzrWO1OSZNfAQmFCKLYJjL1As6D?usp=sharing" rel="noopener noreferrer" title="https://drive.google.com/drive/folders/1XByAzzzrWO1OSZNfAQmFCKLYJjL1As6D?usp=sharing">https://drive.google.com/drive/folders/1XByAzzzrWO1OSZNfAQmFCKLYJjL1As6D?usp=sharing</a></span></li>
</ol>
<p class="x_MsoNormal" ><span > </span></p>
<p class="x_MsoNormal" ><b><i><span >** Mercy Corps has the right to disqualify any late offers.</span></i></b></p>
<p class="x_MsoNormal" > </p>
<p class="x_MsoNormal" > </p>
<p class="ql-align-right" > </p>
<p class="ql-align-right" ><span >الصون و الأخلاق </span></p>
<p class="ql-align-right" ><span >ميرسي كور تلتزم بضمان المعاملة اللائقة واحترام جميع الأفراد اللذين نتواصل معهم من خلال عملنا, سواء كانوا أعضاء الفريق أو أعضاء المجتمع أو المشاركين في البرامج أو غيرهم. نحن ملتزمون بالمبادئ الرئيسية المتعلقة بمنع الاستغلال والإساءة الجنسية التي وضعها الأمين العام للأمم المتحدة واللجنة الدائمة للتنسيق بين الوكالات الإنسانية (IASC)، وقد وقعنا على نظام الإفصاح المتبادل بين الجهات الفاعلة في حالة السلوك الغير اللائق. عند التقديم لهذا الدور، يؤكد المتقدم أنه لم ينتهك في السابق سياسة السلوك الجنسي، والاستغلال والإساءة جنسية، صون الأطفال، أو الاتجار بالبشر لأي جهة عمل. ميرسي كور لن تتسامح مع إساءة معاملة الأطفال أو الاستغلال الجنسي أو الإساءة أو التحرش من قبل أو بسبب أعضاء فريقنا. كجزء من التزامنا تجاه توفير بيئة عمل آمنة وشاملة, من المتوقع أن يتصرف أعضاء الفريق بطريقة مهنية, تحترم القوانين والعادات المحلية. والالتزام بسياسات وقيم مدونة قواعد السلوك الخاصة بمنظمة ميرسي كور في جميع الأوقات. كما يتطلب من جميع أعضاء الفريق إكمال دورات التعليم الإلكتروني الإلزامية لقواعد السلوك عند التوظيف وذلك بشكل سنوي.</span></p>
<p class="ql-align-right" ><span >كمتقدم للوظيفة، إذا كنت قد شهدت أو تعرضت لأي نوع من أنواع السلوك الجنسي الغير لائق خلال عملية التوظيف، يرجى الإبلاغ عن ذلك إلى خط النزاهة في منظمة ميرسي كور (integrityhotline@mercycorps.org).</span></p>
<p > </p>
<p > </p>
<p ><span >RECRUITMENT SCAMS & FRAUD WARNING</span></p>
<p ><span >Mercy Corps has become aware of scams involving false job offers. Please be advise:</span></p>
<p ><span >Recruiters will never ask for a fee during any stage of the recruitment process.</span></p>
<p ><span >All active jobs are advertised directly on Akhtaboot.</span></p>
<p ><span >Official Mercy Corps emails will always arrive from a @mercycorps.org email address.</span></p>
<p ><span >Please report any suspicious communications to ((integrityhotline@mercycorps.org))</span></p>
Jordan - Amman
<p>Senior Software Engineer – Flutter and Firebase and Go</p><p>Location: Amman, Jordan – On-site<br>Employment Type: Full-time</p><p>About the Company:</p><p>We are an American company that buys and recycles cars in the Chicago area, with a 10-person operations team in Jordan.</p><p>Our daily operations run on software we develop internally, including dispatch management, tow-truck fleet management, vehicle intake, parts inventory, and payroll and employee management.</p><p>We are seeking a Senior Software Engineer to join our engineering team and help develop, maintain, and operate a live production platform used daily by drivers, dispatchers, and yard staff.</p><p>Responsibilities:</p><ul><li>Develop and maintain Flutter applications for web, Android, and iOS.</li><li>Develop and manage Firebase services, including Firestore, Authentication, Cloud Functions, and FCM.</li><li>Develop and maintain APIs using Go and PostgreSQL.</li><li>Implement features end-to-end from requirements analysis to testing, deployment, and production verification.</li><li>Diagnose operational issues and fix outages affecting users and staff quickly.</li><li>Write clean, maintainable code with clear tests and reviews.</li><li>Prepare small, organized Merge Requests linked to work tickets.</li><li>Manage build and release processes via GitLab CI, Codemagic, TestFlight, and Shorebird.</li><li>Apply best practices for data protection and system security.</li><li>Monitor app and service performance post-release and verify new versions work correctly.</li><li>Collaborate directly with management and operations teams to understand problems and translate them into practical software solutions.</li></ul><p>Basic Requirements:</p><ul><li>Strong, hands-on experience with Flutter and Dart for mobile and web apps.</li><li>Advanced Firebase experience, especially Firestore, Auth, Cloud Functions, and FCM.</li><li>Experience building backend systems with Go, or strong Node.js experience with willingness to work in Go.</li><li>Good PostgreSQL and SQL/database design experience.</li><li>Experience with REST APIs and external system integration.</li><li>Good understanding of Git, GitLab, and CI/CD processes.</li><li>Experience releasing Android and iOS apps and managing versions.</li><li>Ability to handle production systems and data securely and responsibly.</li><li>Ability to work independently and take ownership from start to finish.</li><li>Good written English, especially for tickets and technical documentation.</li><li>Proven hands-on experience shipping real production apps or systems.</li></ul><p>Nice to Have:</p><ul><li>Experience with Shorebird and direct Flutter updates.</li><li>Experience with Codemagic, TestFlight, and Google Play Console.</li><li>Experience with Docker or Google Cloud Platform.</li><li>Experience with maps, notifications, location tracking, or fleet management systems.</li><li>Experience with operational, logistics, or internal enterprise apps.</li></ul><p>Nature of Work:</p><p>This is a hands-on delivery role, not a meetings-focused position. You will be expected to take features from implementation through testing and production verification.</p><p>The position is based at our office in Amman, Jordan. Some overlap with US Central Time will be required. Exact working hours will be discussed during the interview.</p><p>Compensation:</p><ul><li>Competitive salary based on demonstrated experience and technical ability.</li><li>Payment in JOD or USD equivalent.</li><li>Opportunity to work on a real, stable production product used daily.</li><li>Clear ownership, visible output, and direct influence over the product.</li></ul><p>How to Apply:</p><p>Please Send the following</p><ol><li>Your CV.</li><li>Your GitHub or GitLab profile.</li><li>A short note describing the most meaningful production system or application you have shipped.</li><li>A clear explanation of your personal contribution and the technologies you used.</li><li>Your expected salary and availability to start.</li></ol><p>Real production work and repositories matter more to us than certificates.</p><p> </p>
Confidential
Jordan - Amman
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Our client is looking for a Full-stack Engineer. This role is a strong fit for an early-career engineer who wants to contribute across the stack and grow through hands-on product development. You will support the ongoing development of a real estate platform, working on features that help deliver a reliable and effective user experience. Responsibilities: Build and maintain frontend and backend features. Write clean, maintainable, and testable code.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>1-2 years of work experience.</li><li>knowledge in both backend and frontend.</li></ul><p></p></section>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Our client is looking for a full-stack engineer. This role is a strong fit for an early-career engineer who wants to contribute across the stack and grow through hands-on product development. You will support the ongoing development of a real estate platform, working on features that help deliver a reliable and effective user experience.</p>
<h4>Responsibilities:</h4>
<ul>
<li>Build and maintain frontend and backend features.</li>
<li>Write clean, maintainable, and testable code.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>1-2 years of work experience.</li>
<li>Knowledge in both backend and frontend.</li>
</ul>
<h4>Benefits</h4>
<ul>
<li>Our client's guiding principles & values</li>
<li>Data-driven, tech first</li>
<li>Committed to exceptional experience</li>
<li>Holistic ownership</li>
<li>Challenging the status quo</li>
<li>Together for growth</li>
<li>No finish line</li>
</ul></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Our client is looking for a full-stack engineer. This role is a strong fit for an early-career engineer who wants to contribute across the stack and grow through hands-on product development. You will support the ongoing development of a real estate platform, working on features that help deliver a reliable and effective user experience.</p>
<h4>Responsibilities:</h4>
<ul>
<li>Build and maintain frontend and backend features.</li>
<li>Write clean, maintainable, and testable code.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>1-2 years of work experience.</li>
<li>Knowledge in both backend and frontend.</li>
</ul>
<h4>Benefits</h4>
<ul>
<li>Our client's guiding principles & values</li>
<li>Data-driven, tech first</li>
<li>Committed to exceptional experience</li>
<li>Holistic ownership</li>
<li>Challenging the status quo</li>
<li>Together for growth</li>
<li>No finish line</li>
</ul></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li>
<li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li>
<li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li>
<li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li>
<li>3+ years of mortgage, lending, real estate, or financial services experience;</li>
<li>Current or recent experience in underwriting & origination or adjacent roles;</li>
<li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li>
<li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li>
<li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li>
<li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li>
<li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li>
<li>3+ years of mortgage, lending, real estate, or financial services experience;</li>
<li>Current or recent experience in underwriting and origination or adjacent roles;</li>
<li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li>
<li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Client of MENA Consultant
Jordan - Amman
<p>We are seeking a Fixed Asset Register & Valuation Senior Consultant for a 1-year engagement in Jordan. The role will focus on Fixed Asset Register (FAR) development, fixed asset data management and governance, and IFRS-based asset valuation and reconciliation across public infrastructure assets. The successful candidate will bring relevant expertise in infrastructure and real estate assets, with a strong understanding of applicable IFRS requirements.</p><p>Key Requirements</p><ul><li>Demonstrated expertise in Fixed Asset Register (FAR) development and fixed asset data management.</li><li>Experience developing or working with asset data governance frameworks .</li><li>Experience in infrastructure and real estate asset valuation .</li><li>Demonstrated experience in IFRS-based asset valuation and reconciliation .</li><li>Strong knowledge and practical experience with:</li><ul><li>IAS 16 Property, Plant and Equipment</li><li>IAS 40 Investment Property</li></ul><li>Experience working with governmental asset management projects.</li></ul><p>Other Qualifications</p><ul><li>Bachelor's degree in a relevant discipline.</li><li>Strong analytical and problem-solving skills.</li><li>Strong communication and stakeholder management capabilities.</li><li>Ability to work effectively with multidisciplinary project teams.</li><li>Strong attention to detail, particularly when working with asset data and valuation information.</li></ul><p>Key Responsibilities</p><ul><li>Support the development and enhancement of Fixed Asset Registers for public infrastructure assets.</li><li>Support the management, organization, and governance of fixed asset data.</li><li>Develop and apply appropriate asset data governance frameworks .</li><li>Support the valuation of infrastructure and real estate assets .</li><li>Perform and support IFRS-based asset valuation and reconciliation activities.</li><li>Apply relevant requirements under IAS 16 and IAS 40 to asset-related activities.</li><li>Review and reconcile fixed asset information to support the completeness and consistency of asset records.</li><li>Support asset management activities for public-sector infrastructure environments.</li><li><br></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Demonstrated expertise in Fixed Asset Register (FAR) development and fixed asset data management.</li><li>Experience developing or working with asset data governance frameworks .</li><li>Experience in infrastructure and real estate asset valuation .</li><li>Demonstrated experience in IFRS-based asset valuation and reconciliation .</li><li>Strong knowledge and practical experience with:<ul><li>IAS 16 Property, Plant and Equipment</li><li>IAS 40 Investment Property</li></ul></li><li>Experience working with governmental asset management projects.</li><li>Bachelor's degree in a relevant discipline.</li><li>Strong analytical and problem-solving skills.</li><li>Strong communication and stakeholder management capabilities.</li><li>Ability to work effectively with multidisciplinary project teams.</li><li>Strong attention to detail, particularly when working with asset data and valuation information.</li></ul>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>We're hiring an AI agent designer to build, prompt-engineer, and continuously improve the AI agents that power OpenCX. You'll work directly with customers and our product team to translate real customer use cases into agent behavior that just works — designing conversation flows, writing and iterating on prompts, and measuring agent performance against real customer outcomes.</p>
<p>You'll develop deep expertise in the platform and the underlying LLMs we use, and partner with the product engineering team to push the boundaries of what our agents can do. Prompt engineering is the core of this role — you'll be writing, testing, and iterating on prompts daily, while constantly tuning agents based on real-world customer feedback.</p>
<p>The scope of agents you'll own and the depth of prompt iteration you'll drive will scale with your experience and ability to ship.</p>
<p>This is a hands-on AI/prompt engineering role with heavy customer exposure — not pure internal R&D, and not pure support.</p>
<h4>What you'll do</h4>
<ul>
<li>Design and build new AI agents end-to-end: define behavior, write the prompts, set up tool/function calls, and ship to customers.</li>
<li>Iterate on prompts based on real customer conversations and edge cases — measuring quality, latency, and accuracy.</li>
<li>Work directly with customers to understand their use cases, then translate them into agent behavior that just works.</li>
<li>Run experiments across models, prompt structures, and agent architectures to push performance higher.</li>
<li>Collaborate closely with the product engineering team: feed real customer needs back into platform improvements.</li>
<li>Build deep expertise in our agent stack — LLMs, tools, evaluations — so you can advise customers on what's possible.</li>
<li>Document agent design patterns, prompt templates, and evaluation playbooks to strengthen internal and customer resources.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Hands-on experience with prompt engineering and AI agents — you've built, tuned, and shipped LLM-powered features.</li>
<li>Strong technical foundation — you can read code, work with APIs, and run evaluations to measure agent quality.</li>
<li>Solid understanding of how modern LLMs behave, where they fail, and how to design prompts and tools to make them reliable.</li>
<li>Customer-facing experience or strong willingness to engage directly with customers to learn their use cases.</li>
<li>Excellent English communication skills — clear writing and confident speaking on video calls with enterprise stakeholders.</li>
<li>Ability to operate effectively in a fast-moving startup: you prioritize speed, customer impact, and getting things done.</li>
<li>Comfortable working remotely with customers across multiple global time zones.</li>
</ul>
<h4>Benefits</h4>
<ul>
<li>Top of the market compensation</li>
<li>Health insurance</li>
<li>Working at a high-growth, YC-backed startup</li>
</ul></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>We're hiring an AI agent designer to build, prompt-engineer, and continuously improve the AI agents that power OpenCX. You'll work directly with customers and our product team to translate real customer use cases into agent behavior that just works — designing conversation flows, writing and iterating on prompts, and measuring agent performance against real customer outcomes.</p>
<p>You'll develop deep expertise in the platform and the underlying LLMs we use, and partner with the product engineering team to push the boundaries of what our agents can do. Prompt engineering is the core of this role — you'll be writing, testing, and iterating on prompts daily, while constantly tuning agents based on real-world customer feedback.</p>
<p>The scope of agents you'll own and the depth of prompt iteration you'll drive will scale with your experience and ability to ship.</p>
<p>This is a hands-on AI/prompt engineering role with heavy customer exposure — not pure internal R&D, and not pure support.</p>
<h4>What you'll do</h4>
<ul>
<li>Design and build new AI agents end-to-end: define behavior, write the prompts, set up tool/function calls, and ship to customers.</li>
<li>Iterate on prompts based on real customer conversations and edge cases — measuring quality, latency, and accuracy.</li>
<li>Work directly with customers to understand their use cases, then translate them into agent behavior that just works.</li>
<li>Run experiments across models, prompt structures, and agent architectures to push performance higher.</li>
<li>Collaborate closely with the product engineering team: feed real customer needs back into platform improvements.</li>
<li>Build deep expertise in our agent stack — LLMs, tools, evaluations — so you can advise customers on what's possible.</li>
<li>Document agent design patterns, prompt templates, and evaluation playbooks to strengthen internal and customer resources.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Hands-on experience with prompt engineering and AI agents — you've built, tuned, and shipped LLM-powered features.</li>
<li>Strong technical foundation — you can read code, work with APIs, and run evaluations to measure agent quality.</li>
<li>Solid understanding of how modern LLMs behave, where they fail, and how to design prompts and tools to make them reliable.</li>
<li>Customer-facing experience or strong willingness to engage directly with customers to learn their use cases.</li>
<li>Excellent English communication skills — clear writing and confident speaking on video calls with enterprise stakeholders.</li>
<li>Ability to operate effectively in a fast-moving startup: you prioritize speed, customer impact, and getting things done.</li>
<li>Comfortable working remotely with customers across multiple global time zones.</li>
</ul>
<h4>Benefits</h4>
<ul>
<li>Top of the market compensation</li>
<li>Health insurance</li>
<li>Working at a high-growth, YC-backed startup</li>
</ul></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>The forward deployed AI engineer will work directly with clients and senior engineers to build AI-powered systems inside real enterprise environments. This role is ideal for a strong junior engineer who wants to work on practical AI systems, enterprise data, agents, retrieval, workflow automation, and context graphs. You will help connect to client systems, process messy real-world data, build prototypes, and turn business problems into working software.</p>
<p>The work is hands-on and client-facing:</p>
<ul>
<li>Understand operational workflows and convert them into technical artifacts.</li>
<li>Connect to real enterprise systems and data sources.</li>
<li>Build context-aware AI agents, retrieval systems, and automation prototypes.</li>
<li>Help move the best prototypes toward reliable production deployments.</li>
</ul>
<h4>Requirements</h4>
<p>Build context graphs. Help ingest, clean, structure, and connect data from enterprise systems into context graphs. This may include structured databases, PDFs, spreadsheets, tickets, CRM data, analytics events, Slack or Teams exports, meeting transcripts, operational workflows, and other internal knowledge sources.</p>
<p>Develop AI and agentic workflows. Build AI pipelines and agent-based systems that can reason over enterprise context, identify patterns, surface workflow gaps, and suggest or trigger automations. This may involve LLMs, retrieval systems, structured extraction, tool use, LangGraph-style workflows, and agent harnesses.</p>
<p>Connect to enterprise systems. Integrate with client infrastructure such as databases, APIs, cloud storage, document repositories, analytics tools, ticketing systems, and internal applications.</p>
<p>Prototype automation opportunities. Rapidly build proof-of-concepts that show how AI can improve a client's operations – for example, process documentation, workflow discovery, incident management, document extraction, customer journey analysis, or operational decision support.</p>
<p>Turn messy business problems into software. Work with senior engineers and business stakeholders to translate ambiguous operational problems into technical designs, data models, prompts, pipelines, and deployed applications.</p>
<p>Support production deployments. Help build reliable, maintainable systems that can run in production environments, including client cloud environments when needed.</p>
<h4>Ideal candidate</h4>
<p>We are looking for a strong junior software engineer who is excited about applied AI and wants to build real systems, not just experiments.</p>
<p>You do not need to be an expert in every area below, but you should be curious, technical, and comfortable learning quickly.</p>
<h4>Technical background</h4>
<ul>
<li>Strong Python fundamentals.</li>
<li>Basic backend development experience.</li>
<li>Familiarity with APIs, databases, and cloud services.</li>
<li>Interest in LLMs, agents, retrieval, structured outputs, and tool-calling.</li>
<li>Familiarity with data pipelines and messy real-world datasets.</li>
<li>Experience with FastAPI, LangChain, LangGraph, vector databases, document processing, or knowledge graphs is a plus.</li>
<li>AWS experience is a plus.</li>
<li>Experience with enterprise data, analytics, or workflow automation is a strong plus.</li>
</ul>
<h4>What makes someone successful in this role</h4>
<ul>
<li>You like figuring out how businesses actually operate.</li>
<li>You are comfortable working with incomplete, messy, or poorly documented data.</li>
<li>You can move quickly from vague requirements to a working prototype.</li>
<li>You care about building useful systems, not just impressive demos.</li>
<li>You communicate clearly with both engineers and non-technical stakeholders.</li>
<li>You are curious about how AI agents can interact with real tools, data, and workflows.</li>
<li>You want to learn how to deploy AI into real enterprise environments.</li>
</ul>
<h4>Why this role is interesting</h4>
<p>You will work on the frontier of practical enterprise AI: connecting AI agents to real company context and using that context to discover and automate high-value workflows.</p>
<p>This is a hands-on engineering role for someone who wants to grow into building production-grade AI systems across data, agents, infrastructure, and enterprise software.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>The forward deployed AI engineer will work directly with clients and senior engineers to build AI-powered systems inside real enterprise environments. This role is ideal for a strong junior engineer who wants to work on practical AI systems, enterprise data, agents, retrieval, workflow automation, and context graphs. You will help connect to client systems, process messy real-world data, build prototypes, and turn business problems into working software.</p>
<p>The work is hands-on and client-facing:</p>
<ul>
<li>Understand operational workflows and convert them into technical artifacts.</li>
<li>Connect to real enterprise systems and data sources.</li>
<li>Build context-aware AI agents, retrieval systems, and automation prototypes.</li>
<li>Help move the best prototypes toward reliable production deployments.</li>
</ul>
<h4>Requirements</h4>
<p>Build context graphs. Help ingest, clean, structure, and connect data from enterprise systems into context graphs. This may include structured databases, PDFs, spreadsheets, tickets, CRM data, analytics events, Slack or Teams exports, meeting transcripts, operational workflows, and other internal knowledge sources.</p>
<p>Develop AI and agentic workflows. Build AI pipelines and agent-based systems that can reason over enterprise context, identify patterns, surface workflow gaps, and suggest or trigger automations. This may involve LLMs, retrieval systems, structured extraction, tool use, LangGraph-style workflows, and agent harnesses.</p>
<p>Connect to enterprise systems. Integrate with client infrastructure such as databases, APIs, cloud storage, document repositories, analytics tools, ticketing systems, and internal applications.</p>
<p>Prototype automation opportunities. Rapidly build proof-of-concepts that show how AI can improve a client's operations – for example, process documentation, workflow discovery, incident management, document extraction, customer journey analysis, or operational decision support.</p>
<p>Turn messy business problems into software. Work with senior engineers and business stakeholders to translate ambiguous operational problems into technical designs, data models, prompts, pipelines, and deployed applications.</p>
<p>Support production deployments. Help build reliable, maintainable systems that can run in production environments, including client cloud environments when needed.</p>
<h4>Ideal candidate</h4>
<p>We are looking for a strong junior software engineer who is excited about applied AI and wants to build real systems, not just experiments.</p>
<p>You do not need to be an expert in every area below, but you should be curious, technical, and comfortable learning quickly.</p>
<h4>Technical background</h4>
<ul>
<li>Strong Python fundamentals.</li>
<li>Basic backend development experience.</li>
<li>Familiarity with APIs, databases, and cloud services.</li>
<li>Interest in LLMs, agents, retrieval, structured outputs, and tool-calling.</li>
<li>Familiarity with data pipelines and messy real-world datasets.</li>
<li>Experience with FastAPI, LangChain, LangGraph, vector databases, document processing, or knowledge graphs is a plus.</li>
<li>AWS experience is a plus.</li>
<li>Experience with enterprise data, analytics, or workflow automation is a strong plus.</li>
</ul>
<h4>What makes someone successful in this role</h4>
<ul>
<li>You like figuring out how businesses actually operate.</li>
<li>You are comfortable working with incomplete, messy, or poorly documented data.</li>
<li>You can move quickly from vague requirements to a working prototype.</li>
<li>You care about building useful systems, not just impressive demos.</li>
<li>You communicate clearly with both engineers and non-technical stakeholders.</li>
<li>You are curious about how AI agents can interact with real tools, data, and workflows.</li>
<li>You want to learn how to deploy AI into real enterprise environments.</li>
</ul>
<h4>Why this role is interesting</h4>
<p>You will work on the frontier of practical enterprise AI: connecting AI agents to real company context and using that context to discover and automate high-value workflows.</p>
<p>This is a hands-on engineering role for someone who wants to grow into building production-grade AI systems across data, agents, infrastructure, and enterprise software.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p><strong>About Open</strong><br>
Open.cx is the unified AI customer support platform automating 70%+ of interactions for enterprises like MoneyGram and Mollie. Backed by Y Combinator, X by Unifonic, and Shorooq Partners, we recently raised $7M+ to scale our operations across MENA and globally. We are moving from a startup phase to a high-growth scale-up, and we need a financial architect to build the foundation for that growth.</p>
<h4>Your mandate</h4>
<ul>
<li>Work horizontally across marketing, sales, solutions, and post-sales</li>
<li>Understand how GTM work actually gets done today</li>
<li>Design and ship internal tools, automations, systems, and micro-products that 10× the output of the GTM team</li>
<li>Use AI, workflow design, and lightweight tooling to turn messy, high-volume information into clean, repeatable, measurable motion</li>
</ul>
<p>If you’re successful, you’ll materially influence Open’s growth trajectory and play a central role in how we scale our GTM function.</p>
<h4>What you’ll do</h4>
<p>Our GTM team generates an enormous amount of raw signal — executive conversations, CPO initiatives, Gong calls, product content, ROI models, and live deal insights. Today, we only capture a fraction of that value.</p>
<p>Your first major mission is to turn that raw GTM noise into a structured, compounding system that points to areas each person needs to focus on, that day, and makes marketing, sales, and solutions smarter with every interaction.</p>
<h4>Over time, you’ll expand your scope across</h4>
<ul>
<li>Events and webinars</li>
<li>Account-based motions</li>
<li>Paid/owned channels</li>
<li>Product marketing</li>
<li>Partnerships</li>
<li>Sales playbook automation</li>
<li>Pipeline diagnostics and forecasting workflows</li>
</ul>
<p>Your focus: ensure every GTM contributor operates at their highest possible level.</p>
<h4>Examples of what you’ll own</h4>
<ul>
<li>Full lifecycle ownership of internal “products”<br>
From discovery → spec → build → rollout → adoption → iteration.<br>
You’ll talk to internal users (AEs, SDRs, AMs, Marketing), look at usage data, and continually refine.</li>
<li>Building internal tools, automations, and micro-products</li>
</ul>
<p>Using no-code / low-code / light code tools (Zapier, Make, N8n, Notion, Airtable, Supabase, Retool, Webflow, scripts, AI agents), you will ship systems that:</p>
<ul>
<li>Convert a single webinar or CIO interview into dozens of multichannel GTM assets</li>
<li>Turn Gong calls into structured insights aligned to CPO initiatives, leakage categories, or ROI drivers</li>
<li>Make it trivial to spin up repeatable ABM sequences, playbooks, and executive outreach</li>
<li>Auto-surface account intel, usage signals, and deal blockers to AEs in real time</li>
<li>Build Open’s GTM “intelligence layer”</li>
</ul>
<h4>Design systems that ingest</h4>
<ul>
<li>Customer conversations</li>
<li>PA/340B/Appeals workflow insights</li>
<li>Content and messaging</li>
<li>Campaign performance</li>
<li>Pipeline and forecast signals</li>
<li>Competitive notes and turn them into a searchable, reusable, action-driving knowledge graph for the GTM org.</li>
</ul>
<h4>Run experiments that move real numbers</h4>
<p>Prototype, instrument, and measure experiments that improve:</p>
<ul>
<li>Top-of-funnel reach</li>
<li>Personalization and segmentation</li>
<li>Speed to lead</li>
<li>Conversion by stage</li>
<li>Rep productivity cycle time</li>
</ul>
<p>You’ll define success and be accountable to real metrics.</p>
<h4>What makes us excited about you</h4>
<ul>
<li>You’re a first principles thinker who loves to build.</li>
<li>You see chaos — tools, workflows, spreadsheets, disconnected signals — and your brain instantly starts drawing boxes and arrows.</li>
<li>You’re obsessed with new tools and frontier tech.</li>
<li>You experiment with AI agents, workflows, micro-apps, and integrations because you're curious, not because someone asked you to.</li>
<li>You’re fluent in data and comfortable being scrappy.<br>
Pulling from Salesforce, Gong, Notion, analytics tools, spreadsheets, and content repositories doesn’t intimidate you. You can shape raw data into something people actually use.</li>
<li>You care about outcomes, not output.<br>
You want to move charts and real numbers — lead flow, conversion, cycle time, rep velocity, pipeline coverage. You’re comfortable designing the metric and proving impact.</li>
<li>You’re a cross-functional glue.<br>
You can sit with an SDR, an AE, an Account Manager, and a CPO-level exec and translate their needs into tools that make them say, “Oh wow, this changes my job.”</li>
<li>You’re creative and unafraid to be wrong.<br>
You generate ideas constantly, test them quickly, and iterate without ego.</li>
</ul></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p><strong>About Open</strong><br>
Open.cx is the unified AI customer support platform automating 70%+ of interactions for enterprises like MoneyGram and Mollie. Backed by Y Combinator, X by Unifonic, and Shorooq Partners, we recently raised $7M+ to scale our operations across MENA and globally. We are moving from a startup phase to a high-growth scale-up, and we need a financial architect to build the foundation for that growth.</p>
<h4>Your mandate</h4>
<ul>
<li>Work horizontally across marketing, sales, solutions, and post-sales</li>
<li>Understand how GTM work actually gets done today</li>
<li>Design and ship internal tools, automations, systems, and micro-products that 10× the output of the GTM team</li>
<li>Use AI, workflow design, and lightweight tooling to turn messy, high-volume information into clean, repeatable, measurable motion</li>
</ul>
<p>If you’re successful, you’ll materially influence Open’s growth trajectory and play a central role in how we scale our GTM function.</p>
<h4>What you’ll do</h4>
<p>Our GTM team generates an enormous amount of raw signal — executive conversations, CPO initiatives, Gong calls, product content, ROI models, and live deal insights. Today, we only capture a fraction of that value.</p>
<p>Your first major mission is to turn that raw GTM noise into a structured, compounding system that points to areas each person needs to focus on, that day, and makes marketing, sales, and solutions smarter with every interaction.</p>
<h4>Over time, you’ll expand your scope across</h4>
<ul>
<li>Events and webinars</li>
<li>Account-based motions</li>
<li>Paid/owned channels</li>
<li>Product marketing</li>
<li>Partnerships</li>
<li>Sales playbook automation</li>
<li>Pipeline diagnostics and forecasting workflows</li>
</ul>
<p>Your focus: ensure every GTM contributor operates at their highest possible level.</p>
<h4>Examples of what you’ll own</h4>
<ul>
<li>Full lifecycle ownership of internal “products”<br>
From discovery → spec → build → rollout → adoption → iteration.<br>
You’ll talk to internal users (AEs, SDRs, AMs, Marketing), look at usage data, and continually refine.</li>
<li>Building internal tools, automations, and micro-products</li>
</ul>
<p>Using no-code / low-code / light code tools (Zapier, Make, N8n, Notion, Airtable, Supabase, Retool, Webflow, scripts, AI agents), you will ship systems that:</p>
<ul>
<li>Convert a single webinar or CIO interview into dozens of multichannel GTM assets</li>
<li>Turn Gong calls into structured insights aligned to CPO initiatives, leakage categories, or ROI drivers</li>
<li>Make it trivial to spin up repeatable ABM sequences, playbooks, and executive outreach</li>
<li>Auto-surface account intel, usage signals, and deal blockers to AEs in real time</li>
<li>Build Open’s GTM “intelligence layer”</li>
</ul>
<h4>Design systems that ingest</h4>
<ul>
<li>Customer conversations</li>
<li>PA/340B/Appeals workflow insights</li>
<li>Content and messaging</li>
<li>Campaign performance</li>
<li>Pipeline and forecast signals</li>
<li>Competitive notes and turn them into a searchable, reusable, action-driving knowledge graph for the GTM org.</li>
</ul>
<h4>Run experiments that move real numbers</h4>
<p>Prototype, instrument, and measure experiments that improve:</p>
<ul>
<li>Top-of-funnel reach</li>
<li>Personalization and segmentation</li>
<li>Speed to lead</li>
<li>Conversion by stage</li>
<li>Rep productivity cycle time</li>
</ul>
<p>You’ll define success and be accountable to real metrics.</p>
<h4>What makes us excited about you</h4>
<ul>
<li>You’re a first principles thinker who loves to build.</li>
<li>You see chaos — tools, workflows, spreadsheets, disconnected signals — and your brain instantly starts drawing boxes and arrows.</li>
<li>You’re obsessed with new tools and frontier tech.</li>
<li>You experiment with AI agents, workflows, micro-apps, and integrations because you're curious, not because someone asked you to.</li>
<li>You’re fluent in data and comfortable being scrappy.<br>
Pulling from Salesforce, Gong, Notion, analytics tools, spreadsheets, and content repositories doesn’t intimidate you. You can shape raw data into something people actually use.</li>
<li>You care about outcomes, not output.<br>
You want to move charts and real numbers — lead flow, conversion, cycle time, rep velocity, pipeline coverage. You’re comfortable designing the metric and proving impact.</li>
<li>You’re a cross-functional glue.<br>
You can sit with an SDR, an AE, an Account Manager, and a CPO-level exec and translate their needs into tools that make them say, “Oh wow, this changes my job.”</li>
<li>You’re creative and unafraid to be wrong.<br>
You generate ideas constantly, test them quickly, and iterate without ego.</li>
</ul></p><p></p>
Jordan - Amman
<ul><li>Perform routine grounds and garden maintenance to a consistently high standard</li><li>Maintain lawns, garden beds, hedges, trees, and landscaped areas around residences</li><li>Support the upkeep of outer buildings, pathways, and estate surrounds</li><li>Operate and maintain irrigation systems, gardening tools, and machinery</li><li>Assist with greenhouse planting and maintenance where required</li><li>Monitor plant health and apply appropriate treatments for pests or diseases</li><li>Maintain cleanliness and orderliness across all outdoor spaces</li><li>Work collaboratively within the estate team to achieve presentation and operational goals</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Horticulture degree or certification highly regarded</li><li>Greenhouse horticulture experience highly valued</li><li>Fluent English essential</li><li>Fluent in Hindi highly regarded</li><li>Physically strong and fit</li></ul>
Confidential
Jordan - Amman
<p><h4>Job summary</h4>
<p>Muller's Solutions is seeking an experienced Aconex Solution Architect (Technical Lead) to lead the architecture, implementation, deployment, and optimization of Oracle Aconex solutions. The successful candidate will be responsible for designing scalable solutions, leading technical delivery, configuring the Aconex platform, and ensuring successful implementation throughout the project lifecycle. This role requires a strong blend of solution architecture, technical leadership, stakeholder engagement, and hands-on Oracle Aconex expertise.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Lead the end-to-end implementation and deployment of Oracle Aconex solutions.</li>
<li>Design scalable Aconex solution architectures based on business and project requirements.</li>
<li>Gather and analyze business and technical requirements and translate them into solution designs.</li>
<li>Configure Oracle Aconex projects, document structures, workflows, forms, correspondence, user roles, permissions, and security settings.</li>
<li>Develop implementation strategies, deployment plans, and solution roadmaps.</li>
<li>Lead technical workshops and provide expert guidance to business and project stakeholders.</li>
<li>Design and oversee integrations between Oracle Aconex and enterprise applications using available APIs and integration methods.</li>
<li>Plan and execute document and data migration activities from legacy systems to Oracle Aconex.</li>
<li>Lead system configuration, testing (SIT/UAT), go-live activities, and post-implementation support.</li>
<li>Ensure compliance with document control standards, governance policies, and industry best practices.</li>
<li>Troubleshoot complex technical issues and recommend effective solutions.</li>
<li>Prepare solution architecture documents, technical specifications, deployment guides, and implementation documentation.</li>
<li>Provide technical leadership, mentoring, and support to project teams throughout the implementation lifecycle.</li>
</ul>
<h4>Requirements</h4>
<h4>Required qualifications</h4>
<ul>
<li>Bachelor's degree in Information Technology, Computer Science, Engineering, Construction Management, or a related field.</li>
<li>8–10+ years of relevant experience, including extensive hands-on experience with Oracle Aconex.</li>
<li>Proven experience leading Oracle Aconex implementation and deployment projects from initiation through go-live.</li>
<li>Strong expertise in Aconex configuration, document control, workflows, correspondence management, forms, and security.</li>
<li>Experience designing enterprise document management solutions and implementation strategies.</li>
<li>Experience integrating Oracle Aconex with enterprise systems and external applications.</li>
<li>Strong understanding of document management, project information management, and engineering/construction workflows.</li>
<li>Excellent analytical, problem-solving, communication, and stakeholder management skills.</li>
<li>Experience leading technical teams and coordinating implementation activities.</li>
</ul>
<h4>Preferred qualifications</h4>
<ul>
<li>Oracle Aconex certifications are highly desirable.</li>
<li>Experience in engineering, construction, infrastructure, real estate, or capital projects.</li>
<li>Knowledge of document control best practices and project information management.</li>
<li>Experience with APIs, system integrations, and data migration.</li>
<li>Familiarity with cloud-based enterprise applications and digital transformation initiatives.</li>
<li>Experience working in remote and cross-functional project environments.</li>
</ul>
<h4>Key skills</h4>
<ul>
<li>Oracle Aconex architecture</li>
<li>Oracle Aconex implementation & deployment</li>
<li>Solution design</li>
<li>Technical leadership</li>
<li>Document control & document management</li>
<li>Workflow configuration</li>
<li>System integration</li>
<li>Data & document migration</li>
<li>User & security configuration</li>
<li>Stakeholder management</li>
<li>Technical documentation</li>
<li>Testing (SIT/UAT) & go-live support</li>
<li>Problem solving & troubleshooting</li>
</ul></p><p></p>
Jordan - Amman
<ul><li>Receive deliveries from approved contractors and suppliers</li><li>Check delivered items against purchase orders and delivery documentation</li><li>Verify quantities, specifications, condition, quality and expiry dates</li><li>Report shortages, discrepancies, damaged items or incorrect deliveries</li><li>Ensure that delivery documents are properly signed, recorded and filed</li><li>Label, categorise and store all received items correctly</li><li>Maintain accurate stock records within the inventory-management system</li><li>Record all stock received, transferred, returned and issued</li><li>Issue supplies to authorised departments against approved requisitions</li><li>Maintain accurate records of stock issued to each department</li><li>Monitor stock levels and report low-stock or excess-stock situations</li><li>Assist with regular stocktakes, cycle counts and inventory reconciliations</li><li>Investigate and report stock discrepancies, damage, loss or expiry</li><li>Follow FIFO and FEFO stock-rotation procedures</li><li>Monitor expiry dates and identify slow-moving or obsolete stock</li><li>Store food, chemicals and other controlled products in the appropriate designated areas</li><li>Maintain correct storage temperatures where applicable</li><li>Keep storerooms clean, organised, secure and free from hazards</li><li>Protect luxury, imported, fragile and high-value items</li><li>Restrict storeroom access to authorised personnel</li><li>Respond promptly to approved and urgent departmental requests</li><li>Coordinate professionally with Purchasing, Accounts and estate departments</li><li>Follow all purchasing, approval and stock-issuing procedures</li><li>Assist with the safe movement, loading and unloading of supplies</li><li>Comply with health, safety, food-hygiene and manual-handling requirements</li><li>Maintain discretion and confidentiality concerning estate operations and purchases</li><li>Perform other reasonable storekeeping duties as directed by management</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Secondary school education or equivalent</li><li>Certificate in Warehousing, Inventory Management, Logistics or Supply Chain advantageous</li><li>Food Safety and Hygiene certification highly regarded</li><li>Manual-handling or workplace safety training advantageous</li><li>Forklift or relevant equipment licence beneficial where required</li><li>Good spoken and written English — mandatory</li><li>Hindi or another Indian language advantageous</li><li>Basic computer and data-entry skills</li><li>Physically capable of lifting, carrying and moving stock safely</li><li>Available to relocate to Amman, Jordan</li><li>Minimum three years' experience in stores, warehousing or inventory control</li><li>Previous experience in a five-star hotel, luxury property, hospital, large institution or private estate preferred</li><li>Experience receiving deliveries and verifying quantities, quality and documentation</li><li>Experience maintaining manual and electronic inventory records</li><li>Knowledge of stocktaking and stock-rotation procedures</li><li>Experience handling food, beverage, housekeeping or maintenance supplies advantageous</li><li>Experience handling imported, luxury or high-value items highly regarded</li></ul>
Confidential
Jordan - Amman
<p><h4>About the opportunity</h4>
<p>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.</p>
<p>This organisation is creating AI-powered products and platforms that will transform public services across the Emirate. The work spans retrieval systems, agent-based workflows, sovereign AI infrastructure, and production-grade applications that must operate securely, reliably, and at scale.</p>
<p>This is an opportunity to build highly impactful AI products used in real-world government environments where quality, trust, and operational excellence are essential.</p>
<h4>Role overview</h4>
<p>We are looking for a senior AI product engineer to own the end-to-end delivery of AI-powered products.</p>
<p>You will design and build the retrieval pipelines and agent workflows that power intelligent applications, the backend services that support them, and the user interfaces that deliver value to end users. This role combines applied AI engineering with strong product judgment.</p>
<p>You should be comfortable working across the full stack—from Python-based AI systems and APIs to React frontends—and accountable for how your products perform in production.</p>
<p>At the senior level, you will:</p>
<ul>
<li>Own AI product features from concept through production</li>
<li>Build and optimize RAG pipelines and agent-based systems</li>
<li>Develop backend services and modern user interfaces</li>
<li>Make sound technical and product decisions</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>End-to-end AI product development</strong></p>
<ul>
<li>Design and build AI-powered assistants, copilots, and automation tools</li>
<li>Architect retrieval-augmented generation (RAG) pipelines, including ingestion, embeddings, vector search, and reranking</li>
<li>Develop agent-based workflows with tool use, planning, and multi-step reasoning</li>
<li>Build reusable AI components and integration libraries for multiple products</li>
</ul>
<p><strong>Full-stack engineering</strong></p>
<ul>
<li>Build React and Next.js interfaces with streaming responses and conversational experiences</li>
<li>Develop backend APIs and services in Python, Java/Kotlin, or Node.js</li>
<li>Work with PostgreSQL, Redis, DocumentDB, Azure Blob Storage, and vector databases such as pgvector or Qdrant</li>
<li>Instrument AI systems using Langfuse and Grafana for tracing and observability</li>
</ul>
<p><strong>Product ownership & engineering excellence</strong></p>
<ul>
<li>Evaluate product requirements and ensure solutions solve the right problems</li>
<li>Optimize systems for reliability, latency, and user trust</li>
<li>Document technical decisions and architecture clearly</li>
<li>Mentor engineers and contribute to engineering best practices</li>
</ul>
<h4>Basic qualifications</h4>
<ul>
<li>7+ years of software engineering experience</li>
<li>Proven experience shipping end-to-end product features across AI, backend, and frontend layers</li>
<li>Strong proficiency in Python and experience building LLM-powered systems</li>
<li>Solid React fundamentals, including state management, accessibility, and performance</li>
<li>Experience building production APIs in Python, Java/Kotlin, or Node.js</li>
<li>Working knowledge of PostgreSQL and relational schema design</li>
<li>Understanding of common LLM production challenges such as hallucination, latency, and context degradation</li>
<li>Practical use of AI coding assistants such as Codex or Claude Code</li>
<li>Strong system design, testing, debugging, and performance optimization skills</li>
</ul>
<h4>Preferred qualifications</h4>
<ul>
<li>Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI</li>
<li>Experience designing streaming APIs with SSE or WebSockets</li>
<li>Strong familiarity with Next.js, Tailwind CSS, TanStack Query, and Zustand</li>
<li>Experience deploying AI applications on Azure using Docker and CI/CD pipelines</li>
<li>Familiarity with vector databases such as Qdrant or pgvector</li>
<li>Experience working in government, public sector, financial services, or other regulated environments</li>
</ul>
<h4>Technology stack</h4>
<ul>
<li>Frontend: React, Next.js, Tailwind CSS</li>
<li>Backend: Python, Java, Kotlin, Node.js</li>
<li>AI & LLM: LangChain, LangGraph, Microsoft Agent Framework, vector databases, OCR, ASR, TTS</li>
<li>Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage</li>
<li>Observability: Langfuse, Grafana</li>
<li>Infrastructure: Docker, Azure, CI/CD pipelines</li>
<li>AI development: Codex, Claude Code, OpenCode</li>
</ul>
<h4>What we’re looking for</h4>
<p>You are an engineer who:</p>
<ul>
<li>Takes ownership across the full product lifecycle</li>
<li>Balances technical depth with strong product judgment</li>
<li>Builds AI products that users trust in production</li>
<li>Makes evidence-based decisions</li>
<li>Communicates clearly and proactively</li>
<li>Embraces AI-native development practices</li>
</ul>
<h4>Why apply?</h4>
<p>This is an opportunity to help shape the future of AI-powered public services in Abu Dhabi.</p>
<p>You’ll work on meaningful products with real-world impact, solving complex challenges in applied AI, product engineering, and large-scale deployment.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>About the opportunity</h4>
<p>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.</p>
<p>This organisation is creating AI-powered products and platforms that will transform public services across the Emirate. The work spans retrieval systems, agent-based workflows, sovereign AI infrastructure, and production-grade applications that must operate securely, reliably, and at scale.</p>
<p>This is an opportunity to build highly impactful AI products used in real-world government environments where quality, trust, and operational excellence are essential.</p>
<h4>Role overview</h4>
<p>We are looking for a senior AI product engineer to own the end-to-end delivery of AI-powered products.</p>
<p>You will design and build the retrieval pipelines and agent workflows that power intelligent applications, the backend services that support them, and the user interfaces that deliver value to end users. This role combines applied AI engineering with strong product judgment.</p>
<p>You should be comfortable working across the full stack—from Python-based AI systems and APIs to React frontends—and accountable for how your products perform in production.</p>
<p>At the senior level, you will:</p>
<ul>
<li>Own AI product features from concept through production</li>
<li>Build and optimize RAG pipelines and agent-based systems</li>
<li>Develop backend services and modern user interfaces</li>
<li>Make sound technical and product decisions</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>End-to-end AI product development</strong></p>
<ul>
<li>Design and build AI-powered assistants, copilots, and automation tools</li>
<li>Architect retrieval-augmented generation (RAG) pipelines, including ingestion, embeddings, vector search, and reranking</li>
<li>Develop agent-based workflows with tool use, planning, and multi-step reasoning</li>
<li>Build reusable AI components and integration libraries for multiple products</li>
</ul>
<p><strong>Full-stack engineering</strong></p>
<ul>
<li>Build React and Next.js interfaces with streaming responses and conversational experiences</li>
<li>Develop backend APIs and services in Python, Java/Kotlin, or Node.js</li>
<li>Work with PostgreSQL, Redis, DocumentDB, Azure Blob Storage, and vector databases such as pgvector or Qdrant</li>
<li>Instrument AI systems using Langfuse and Grafana for tracing and observability</li>
</ul>
<p><strong>Product ownership & engineering excellence</strong></p>
<ul>
<li>Evaluate product requirements and ensure solutions solve the right problems</li>
<li>Optimize systems for reliability, latency, and user trust</li>
<li>Document technical decisions and architecture clearly</li>
<li>Mentor engineers and contribute to engineering best practices</li>
</ul>
<h4>Basic qualifications</h4>
<ul>
<li>7+ years of software engineering experience</li>
<li>Proven experience shipping end-to-end product features across AI, backend, and frontend layers</li>
<li>Strong proficiency in Python and experience building LLM-powered systems</li>
<li>Solid React fundamentals, including state management, accessibility, and performance</li>
<li>Experience building production APIs in Python, Java/Kotlin, or Node.js</li>
<li>Working knowledge of PostgreSQL and relational schema design</li>
<li>Understanding of common LLM production challenges such as hallucination, latency, and context degradation</li>
<li>Practical use of AI coding assistants such as Codex or Claude Code</li>
<li>Strong system design, testing, debugging, and performance optimization skills</li>
</ul>
<h4>Preferred qualifications</h4>
<ul>
<li>Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI</li>
<li>Experience designing streaming APIs with SSE or WebSockets</li>
<li>Strong familiarity with Next.js, Tailwind CSS, TanStack Query, and Zustand</li>
<li>Experience deploying AI applications on Azure using Docker and CI/CD pipelines</li>
<li>Familiarity with vector databases such as Qdrant or pgvector</li>
<li>Experience working in government, public sector, financial services, or other regulated environments</li>
</ul>
<h4>Technology stack</h4>
<ul>
<li>Frontend: React, Next.js, Tailwind CSS</li>
<li>Backend: Python, Java, Kotlin, Node.js</li>
<li>AI & LLM: LangChain, LangGraph, Microsoft Agent Framework, vector databases, OCR, ASR, TTS</li>
<li>Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage</li>
<li>Observability: Langfuse, Grafana</li>
<li>Infrastructure: Docker, Azure, CI/CD pipelines</li>
<li>AI development: Codex, Claude Code, OpenCode</li>
</ul>
<h4>What we’re looking for</h4>
<p>You are an engineer who:</p>
<ul>
<li>Takes ownership across the full product lifecycle</li>
<li>Balances technical depth with strong product judgment</li>
<li>Builds AI products that users trust in production</li>
<li>Makes evidence-based decisions</li>
<li>Communicates clearly and proactively</li>
<li>Embraces AI-native development practices</li>
</ul>
<h4>Why apply?</h4>
<p>This is an opportunity to help shape the future of AI-powered public services in Abu Dhabi.</p>
<p>You’ll work on meaningful products with real-world impact, solving complex challenges in applied AI, product engineering, and large-scale deployment.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is NOT:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p><\/p><p><\/p>