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Niche LLM/agent expertise plus mid-tier employer and hybrid metro role create moderate competition.
Specialized agentic LLM, LangGraph, and Azure tooling limit cross-industry transferability.
Explicit years plus required LangGraph/LangChain, Azure Foundry and production LLM experience enforce stringent filtering.
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Lead design and delivery of multi-agent orchestration systems on MRI Software's Agora Orchestrator platform using LangGraph and LangChain frameworks.
Architect and implement RAG systems, MCP servers, agent evaluation and observability, and deploy on Azure Foundry Agent Service and Azure Functions.
Mentor junior engineers, lead technical design reviews, and establish engineering standards and agentic patterns for the team.
5+ years of Python software development experience.
2+ years experience building production large language model (LLM) or agentic systems.
Bachelor’s or Master’s degree in Software Engineering, Computer Science, or related field.
Expertise with Python (async, typing, packaging), LangGraph multi-agent orchestration, LangChain, FastAPI, Azure Foundry Agent Service, Azure Functions, and AI agentic orchestration patterns.
Proven technical leadership in multi-agent orchestration and LLM system design with experience mentoring engineers and leading design reviews.
Strong experience architecting scalable distributed SaaS systems on Azure including deployment, provisioning, and observability.
Hands-on knowledge of RAG architectures, MCP server design, prompt engineering, identity/auth protocols (Okta, OAuth2, JWT), and Python ML libraries like PyTorch and Hugging Face Transformers.