Lead Agentic AI Engineer

Lead Agentic AI Engineer – Python, LangGraph & Azure

Remote Role

Role Summary

We are seeking a highly experienced, hands-on Lead Agentic AI Engineer to lead the design and development of a production-grade enterprise Agentic AI solution using Python, LangGraph, Azure OpenAI, and Azure cloud services.

The solution supports complex policy-processing workflows through specialized Producer and Receiver agents, centralized orchestration, human-in-the-loop interactions, event-driven processing, enterprise system integration, persistent workflow state, observability, and production controls.

This role is intended for a senior technical leader who combines deep hands-on engineering with solution ownership. The Lead Agentic AI Engineer will define the agent architecture, establish engineering patterns, guide the development team, review critical code, resolve complex technical issues, and help ensure the solution is production-ready, scalable, secure, observable, and maintainable.

Required Qualifications

Strong depth in Python, LangGraph, agentic application development, workflow orchestration, and technical leadership is required. Experience with the broader Azure, observability, DevSecOps, and integration stack may come through direct implementation or close collaboration with specialized engineering teams.

• 12+ years of overall software/application engineering experience.
• 5+ years of strong hands-on Python development.
• 2+ years of hands-on Generative AI / LLM application development.
• Strong hands-on experience with LangGraph or comparable stateful graph-based agent orchestration frameworks.
• Proven experience building production-grade agent-based applications.
• Strong understanding of multi-agent systems, agent state, tool calling, human-in-the-loop workflows, checkpointing, retries, and recovery.
• Strong experience building and integrating REST APIs.
• Strong understanding of event-driven and asynchronous application patterns.
• Experience integrating LLMs with enterprise systems and APIs.
• Experience with Azure OpenAI or comparable enterprise LLM services.
• Experience with automated testing and production debugging.
• Experience designing secure and observable enterprise applications.
• Demonstrated technical leadership experience.