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Sr. AI/ML Developer - MSP Owner

Posted today

2t consultingFlorissant (MO)

SENIORITY

Senior

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About the role

We are looking for a skilled AI/ML Developer to join our agentic platform team on a contractual basis. You will design, develop, and deploy LLM-powered agents and pipelines that directly serve field technicians in production. You will work closely with the platform architect and contribute to the core multi-agent orchestration system.
Required Skills & Experience: 10+ years of software development with strong Python expertise in production environments.2+ years of hands-on LLM development (LangChain, LangGraph, or equivalent frameworks)RAG pipeline experience - embeddings, vector search, re-ranking, answer generationLLM APIs - OpenAI Chat Completions, Responses API, streaming, tool calling Async Python - asyncio, FastAPIPrompt engineering - system prompts, few-shot, structured JSON output Circuit breaker patterns, retry logic, resilient service design PostgreSQL and async ORMs (SQLAlchemy async / Alembic) Git, CI/CD, Docker, Kubernetes basics Strong system design skills - microservices, distributed systems, API design
Key Responsibilities:
  • Design and develop LLM-powered agents using LangGraph and LangChain frameworks
  • Build and enhance multi-agent orchestration pipelines with conditional routing, state management, and error recovery
  • Develop RAG pipelines with hybrid search (semantic + keyword), re-ranking, and Reciprocal Rank Fusion
  • Implement tool-calling agents with parallel API execution, sequential enrichment chains, and summarization
  • Build real-time streaming capabilities (WebSocket / SSE) for conversational AIIntegrate with Azure OpenAI APIs with circuit breaker patterns and fallback chains
  • Implement prompt engineering and dynamic prompt management (DB-backed with in-memory caching)
  • Design and implement multi-modal AI features (image analysis with vision models)
  • Write production-quality Python code with error handling, logging, observability, and unit tests
  • Participate in code reviews, architecture discussions, and sprint delivery

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