Staff/Lead AI Agent Engineer

zenappstudio United Arab Emirates
Visa Sponsorship Relocation
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AI Summary

Design and deploy production-grade AI agent systems across live business workflows. Develop multi-agent orchestration and advanced agent patterns. Lead a team of AI engineers.

Key Highlights
Architect and ship production-grade AI agent systems
Develop multi-agent orchestration and advanced agent patterns
Lead a team of AI engineers
Key Responsibilities
Architect and ship production-grade AI agent systems
Develop multi-agent orchestration and advanced agent patterns
Lead a team of AI engineers
Technical Skills Required
Python LangGraph CrewAI AutoGen TypeScript Node.js Go OpenAI Claude RAG GraphRAG Knowledge Graphs OpenTelemetry Langfuse AWS Docker Kubernetes Bayesian Bandits MAESTRO
Benefits & Perks
Competitive tax-free compensation
Equity
Relocation assistance
Visa sponsorship
Hybrid work
Conference budget & learning stipend
Nice to Have
MCP
function calling & tool-use patterns
Model tuning & evaluation (DPO, RLHF, benchmarking)
Full-stack exposure (React / React Native)
Open-source contributions or conference talks
Strong Docker, Kubernetes, CI/CD, MLOps experience

Job Description


🚀 We’re Hiring: Staff / Lead AI Agent Engineer

📍 UAE – Abu Dhabi / Dubai | Hybrid

🏢 Enterprise company hiring via Agency


One of the region’s largest enterprises is going all-in on autonomous AI systems — and we’re looking for someone to own that journey from day one.

Let’s be clear:

This is not a chatbot role.

This is not a research-only position.


As a Staff / Lead AI Agent Engineer, you’ll architect and ship production-grade agent systems that reason, plan, retrieve, and act across live business workflows.

These agents don’t just assist.

They run things.



🔧 What you’ll be building

  • Multi-agent orchestration using LangGraph, CrewAI, AutoGen
  • Production RAG, GraphRAG & Knowledge Graph systems at scale
  • Advanced agent patterns: ReAct, reflection loops, context engineering
  • End-to-end deployment with real observability
  • (OpenTelemetry, Langfuse, canary releases, shadow mode)
  • Human-in-the-loop escalation, trust lifecycle management
  • MAESTRO threat modeling, red teaming, and LLM-as-Judge evaluations
  • MCP integrations for tool use and external system connectivity
  • Technical ownership of the agent roadmap
  • Mentoring and growing a team of AI engineers



👤 Who we’re looking for

  • 8+ years in software engineering
  • 2+ years hands-on with AI / agentic systems
  • Real production experience with LangGraph, CrewAI, AutoGen (or similar)
  • Python as your primary language
  • Production backends in TypeScript / Node.js / Go
  • You’ve shipped multi-agent systems to production at scale
  • Experience with OpenAI, Claude, or open-source LLMs
  • Strong background in distributed systems, AWS, and technical leadership



⭐ Bonus points if you have

  • MCP, function calling & tool-use patterns
  • Model tuning & evaluation (DPO, RLHF, benchmarking)
  • Full-stack exposure (React / React Native)
  • Open-source contributions or conference talks
  • Strong Docker, Kubernetes, CI/CD, MLOps experience



🧠 Tech Stack

LangGraph · CrewAI · AutoGen · Python · TypeScript · OpenAI · Claude ·

RAG · GraphRAG · Knowledge Graphs · OpenTelemetry · Langfuse ·

AWS · Docker · Kubernetes · Bayesian Bandits · MAESTRO



💡 Why this role is special

  • True greenfield — build the agent infrastructure from zero
  • Fortune 500 scale with startup-level autonomy
  • Competitive tax-free compensation
  • Equity + relocation + visa sponsorship
  • Hybrid work (Dubai or Abu Dhabi)
  • Conference budget & learning stipend

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