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Niche agentic AI specialization reduces applicant pool despite metro location and mid-senior level demand.
Highly specialized agentic AI, LangChain, and LLM production expertise limits cross-industry portability.
Multiple mandatory technical and leadership requirements (Python, LangChain, vector DBs, LLM integration) significantly narrow qualification.
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Architect and lead development of scalable agentic AI systems using LangChain, LangGraph, and related frameworks.
Mentor and manage a team of 3-7 developers, coordinating sprint planning and knowledge sharing on AI/ML practices.
Drive technical decisions including framework selection, tool integration, and maintain high code quality through reviews.
6+ years of Python development experience, including async programming and modern Python patterns.
2+ years hands-on experience building production AI applications with LangChain and LangGraph.
Experience leading a development team (Tech Lead or equivalent position).
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Proven technical leadership in architecting complex AI solutions with agentic AI frameworks and multi-agent systems.
Strong expertise in AI system design including prompt engineering, retrieval-augmented generation, and LLM integration.
Experience managing medium-sized teams (3-7 developers) delivering AI products in fast-evolving technology environments.