AI​/ML Developer; Technology Specialist - Python​/Agentic AI

Job Title:

AI/ML Developer (Technology Specialist - Python / Agentic AI) (Only USC and Green Cards)

Work Location:

Maryland Heights, MO 63043 (Local candidates based in St. Louis willing to attend an in-person interview)

Contract Duration: 6 Months

Interview Process:
In-person / Face-to-Face required

We are seeking a highly skilled AI/ML Developer to join our Agentic Platform Team on a 6-month contract basis. In this role, you will design, develop, and deploy production-ready, LLM-powered agents and workflows directly supporting field technicians. Working alongside the Platform Architect, you will play a key role in building resilient multi-agent orchestration systems and advanced RAG pipelines.

• Agent Development & Orchestration:
  Design and deploy LLM-powered agents and multi-agent workflows using Lang Chain and Lang Graph, implementing state management, conditional routing, and robust error handling.
• RAG & API Integration:
  Build advanced RAG pipelines utilizing hybrid search (semantic + keyword), re-ranking, and Reciprocal Rank Fusion. Integrate Azure OpenAI APIs with circuit breaker patterns, fallback logic, dynamic prompt management, and streaming support (Web Socket / SSE).
• Production Engineering & Reliability:
  Write clean, modular, and fully tested asynchronous Python code (FastAPI, asyncio) backed by PostgreSQL, ensuring high availability, system resilience, and proper LLM observability/tracing.

• Experience:
  
  8 10+ years of overall software development experience with deep Python expertise in production environments.
• LLM Engineering: 2+ years of hands-on experience building LLM applications, agents, and pipelines using frameworks like Lang Graph or Lang Chain.
• RAG Architecture:
  Solid experience with embeddings, vector search, re-ranking, and context retrieval strategies.
• LLM APIs & Prompting:
  Hands-on experience with OpenAI Chat Completions, function calling/tool execution, streaming, dynamic prompt management, and structured JSON output generation.
• Backend & System Design:
  Proficiency in asynchronous Python (asyncio, FastAPI), relational databases (PostgreSQL with SQL Alchemy async / Alembic), and microservice/distributed system architecture.
• Dev Ops & Testing:
  Standard experience with Git, CI/CD pipelines, Docker, and Kubernetes basics.

• Hands-on implementation of Lang Graph State Graph workflows (conditional edges, node pipelines, compiled graphs).
• Experience with multi-agent orchestration, routing, and RBAC-based access control.
• Familiarity with LLM observability platforms (e.g., Langfuse) for tracing latency and token metrics.
• Work with multi-modal AI systems (vision models and image analysis).
• Hands-on experience with vector databases (Open Search, Pinecone, pgvector) and AWS cloud services (Aurora PostgreSQL, EKS, IAM).
• Background in telecommunications or field service domain operations.