AI Agent Engineer

Overview

AI Agent Engineer

Dubai

IT Department

Associate Director Software Engineering

Key responsibilities

• Design, build, and deploy production-grade AI agents using Microsoft Foundry, including model catalog, agent framework, and tool/function-calling capabilities
• Integrate AI agents with enterprise systems (including Palantir Foundry via MCP) to access data and execute ontology-based actions
• Develop retrieval, memory, tool-use, and multi-agent orchestration patterns using Python
• Build evaluation frameworks and guardrails covering groundedness, safety, latency, and cost efficiency
• Apply LLM engineering techniques such as prompt engineering, structured outputs, RAG, and grounding strategies
• Operate AI agents in production including observability, tracing, monitoring, cost optimization, and incident response
• Manage versioning of prompts, tools, configurations, and agent logic alongside code
• Integrate solutions with Azure services including Azure OpenAI, Azure AI Search, Storage, Functions, Container Apps, Key Vault, and Entra ID
• Build CI/CD pipelines with automated evaluation gates for safe and reliable deployments
• Ensure secure design patterns for authentication, authorization, secrets management, and enterprise data handling
• Collaborate with Product, Data Science, and Architecture teams to deliver end-to-end AI solutions
• Promote reusable agentic frameworks and best practices across engineering teams
• Knowledge, skills & experience:
• Bachelors degree in Computer Science or relevant.
• Strong hands-on experience in Python.
• Proven experience building LLM-based or AI agent systems (tool use, orchestration, RAG, evaluation frameworks)
• Experience with Microsoft Foundry or similar frameworks (Semantic Kernel, AutoGen, LangGraph, LlamaIndex, OpenAI Agents SDK, etc.)
• Strong understanding of Azure ecosystem (Azure OpenAI, AI Search, Storage, Functions, Entra ID, DevOps tools)
• Deep knowledge of LLM application patterns.
• Strong DevOps knowledge including Git, CI/CD, containers, and infrastructure-as-code
• Exposure to data engineering concepts and vector databases is an advantage
• Strong problem-solving, communication, and stakeholder management skills
• Experience working in agile or fast-paced environments delivering AI/ML products from prototype to production

Availability

• Preference will be given to candidates available immediately or with a maximum 30-day notice period after accepting the offer.
• We are looking for a candidate who will be able to work in the

United Arab Emirates