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Mid-level experience band, niche LLM/agent skillset, and non-metro location create moderate competition.
Highly specialized agent and production LLM expertise limits transferability across industries.
Multiple explicit years and many mandatory specialized LLM, LangGraph, Azure, and PyTorch requirements make filtering strict.
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Lead design and delivery of multi-agent systems on Agora Orchestrator platform, including architecting agent orchestration and RAG systems.
Author MCP servers covering tool schemas, authentication, error contracts, and versioning.
Build and maintain agent evaluation and observability stack; deploy and operate agents on Azure platform; mentor junior engineers and lead technical design reviews.
5+ years of software development experience in Python.
2+ years of experience building production LLM or agentic systems.
Experience leading technical design and mentoring engineers.
Expertise with Python async programming, LangGraph, LangChain, FastAPI, and Azure Foundry Agent Service and Azure Functions.
Strong background in AI agentic orchestration patterns including planner/executor, supervisor, reflection, and multi-agent collaboration.
Proven ability to architect and operate multi-tenant SaaS systems with idempotency, retries, and queueing.
Experience with prompt engineering, RAG architectures, agent observability, and system design at scale on Azure cloud.