Description

We’re looking for a hands-on AI Automation Engineer to help us design, build, and deploy intelligent business systems that combine automation, AI, and modern digital tools.

You’ll work across process automation, AI agents, workflow orchestration, integrations, and business transformation initiatives for both internal teams and client projects.

This is a highly practical role where you'll use AI, automation platforms, APIs, and no-code/low-code tools to eliminate manual work, improve operational efficiency, and create scalable business solutions.

• Design, build, and deploy AI-powered workflows using platforms such as n8n, Make, Zapier, and similar tools
• Build AI agents that automate customer service, operations, sales, reporting, and internal business processes
• Integrate Large Language Models (OpenAI, Claude, Gemini, and others) into business workflows and applications
• Design and implement Retrieval-Augmented Generation (RAG) solutions using company documents, knowledge bases, and structured data
• Connect business systems including CRMs, ERPs, databases, communication platforms, and third-party applications through APIs and webhooks
• Develop AI-powered assistants, chatbots, and internal copilots for business users
• Build automated reporting, monitoring, and business intelligence workflows
• Conduct workflow discovery sessions and identify automation opportunities across departments
• Create technical documentation, architecture diagrams, and deployment guidelines
• Test, troubleshoot, optimize, and maintain automation systems to ensure reliability and scalability
• Collaborate with designers, strategists, and developers to deliver AI-powered business solutions

Requirements

• Have 3+ years of experience building workflow automation, integrations, or digital business systems
• Have hands-on experience with n8n, Make.com, Zapier, or similar automation platforms
• Have built AI-powered workflows using OpenAI, Claude, Gemini, Anthropic, or similar AI technologies
• Understand prompt engineering, AI orchestration, and agent-based systems
• Have experience working with APIs, webhooks, OAuth authentication, and third-party integrations
• Can connect and automate platforms such as Airtable, Notion, HubSpot, Salesforce, Google Workspace, Microsoft 365, and similar tools
• Have experience working with structured and unstructured data
• Have basic programming knowledge in JavaScript, Python, or TypeScript
• Have experience with LangChain, LangGraph, CrewAI, OpenAI Assistants API, MCP (Model Context Protocol), or similar AI frameworks
• Have worked with vector databases such as Pinecone, Weaviate, Chroma, or similar knowledge retrieval systems
• Have experience with Supabase, PostgreSQL, Docker, or other modern backend technologies
• Have built customer service, sales, HR, finance, or operations AI agents
• Have experience building AI-powered knowledge management systems, enterprise search solutions, or RAG-based applications
• Think in systems and enjoy simplifying complex business processes
• Communicate clearly and take ownership of delivery
• Have strong troubleshooting and problem-solving skills
• Are comfortable working directly with clients and stakeholders
• Can deliver production-ready AI and automation solutions that create measurable operational efficiencies
• Have a track record of reducing manual processes through intelligent automation
• Can design scalable automation frameworks that can be reused across multiple projects and clients
• Continuously identify opportunities to introduce AI and automation into business operations