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Mid-level ML/AI role with niche agent/LLM stack and non-metro location moderates applicant density.
Highly domain-specific agentic LLM and Azure platform expertise limits cross-industry transferability.
Multiple explicit requirements: 5+ years Python, 2+ years production LLMs, LangGraph, Azure Foundry, PyTorch.
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Lead architecture and delivery of multi-agent orchestration systems on the Agora Orchestrator platform using LangGraph and related AI frameworks.
Design, implement, and operate RAG systems, MCP servers, and agent observability tooling on Azure, including deployment on Azure Foundry Agent Service and Azure Functions.
Establish engineering standards, perform technical design reviews, and mentor junior engineers to drive team technical excellence.
Expert Python programming skills including async, typing, packaging, and performance optimization.
Experience with LangGraph in production for multi-agent orchestration, and frameworks like LangChain and FastAPI.
5+ years of software development experience with at least 2+ years working on production LLM or AI multi-agent systems.
Bachelor's or master's degree in Software Engineering, Computer Science, or related fields.
Proven track record in leading complex technical designs and mentoring engineering teams in AI or multi-agent system contexts.
Hands-on experience with Azure platform services including Azure Foundry Agent Service, Azure Functions, and SaaS system design considerations like multi-tenancy and idempotency.
Strong expertise in architecting AI agent orchestration patterns, RAG architectures, and observability tooling for production-scale intelligent systems.