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Strong employer brand but senior niche LLM specialist reduces general applicant density.
High domain specificity: LLM/agent engineering and enterprise compliance limit cross-industry transferability.
Mandatory 9+ years, specific LLM production experience, frameworks, and enterprise/security requirements.
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Design, build, and deploy complex autonomous multi-agent workflows with orchestration frameworks, including state machines, error recovery, and parallel execution involving 10+ nodes.
Develop production-grade FastAPI applications with async I/O, integrating databases, caching, cloud LLM providers, and external enterprise services.
Implement observability, security, compliance, evaluation frameworks, and collaborate across teams to deliver scalable AI-driven agent systems in production.
Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, Data Science, or related field.
9+ years of software engineering experience, including 2+ years in production deployment of LLM-powered applications.
Expert-level async Python programming and experience with agentic orchestration frameworks such as LangGraph, LangChain, or similar.
Experience with cloud platforms (AWS, Azure, or Google Cloud), production async web frameworks (FastAPI), Docker, Git, and CI/CD pipelines.
Experienced in architecting and scaling autonomous agent systems performing multi-step tasks beyond simple chatbots, with strong knowledge of design patterns like ReAct and Plan-and-Execute.
Demonstrated technical leadership or mentoring experience, capable of working with globally distributed and offshore teams.
Practical knowledge of observability tooling for LLMOps, prompt engineering at scale, and enterprise-grade security and compliance implementations.