We are seeking an AI Engineer to design, build, and deploy intelligent AI agents and automated workflows that address real business problems. This is a hands-on, high-impact role within the Artificial Intelligence and Advanced Analytics team. The successful candidate will own end-to-end delivery of AI agents from scoping and architecture through integration, testing, and production deployment, enabling the organization to automate complex processes and unlock value from generative AI.
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Key Responsibilities
- Design, build, and deploy AI agents using frontier LLMs including Claude (Anthropic API), OpenAI, Gemini, and other frontier models
- Architect multi-agent systems and agentic workflows using frameworks including LangChain, LangGraph, CrewAI, AutoGen, and Semantic Kernel
- Build and manage automated business workflows using n8n, Make (Integromat), Zapier, and custom API integrations
- Implement RAG pipelines with vector databases including Pinecone, Weaviate, Qdrant, and pgvector to give agents access to organizational knowledge bases
- Design tool-use and function-calling integrations, connecting agents to internal systems, APIs, databases, and third-party services
- Fine-tune and prompt-engineer LLMs to optimize agent behavior, reliability, and task accuracy
- Collaborate with business stakeholders to identify automation opportunities and translate requirements into agent-based solutions
- Monitor, evaluate, and continuously improve deployed agents across quality, latency, cost, and safety metrics
- Establish and maintain best practices for agent safety, guardrails, human-in-the-loop controls, and responsible AI deployment
- Develop MCP (Model Context Protocol) server integrations to extend agent capabilities
Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field; equivalent practical experience will be considered
- 2 or more years of hands-on experience building production AI systems or intelligent automation solutions
- Demonstrated experience building agents or workflows with LangChain, LangGraph, CrewAI, n8n, or comparable frameworks
- Proven ability to integrate LLM APIs including Anthropic Claude and OpenAI into real-world applications
- Experience with vector databases and semantic search implementations is strongly preferred
- Portfolio or demonstrable projects showing deployed agents, automation workflows, or RAG-based applications
- Proficiency in Python as the primary language; JavaScript or TypeScript is beneficial
- Familiarity with cloud platforms, Docker, FastAPI, and CI/CD practices for AI pipelines
Location
Dubai Office
