AI/ML Developer

AI/ML Developer


65 - 80 C2C /hr.


Hybrid - 3 days onsite in St. Louis, MO


2 video interviews, possible onsite

Our client, a multinational telecommunications technology company is seeking a highly experienced AI Developer. 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.



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 AI
- Integrate 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.



Required Skills:


- 10+ years of software development with strong Python expertise in production environments
- 2+ years hands-on LLM development (LangChain, LangGraph, or equivalent frameworks)
- RAG pipeline experience - embeddings, vector search, re-ranking, answer generation
- LLM APIs - OpenAI Chat Completions, Responses API, streaming, tool calling
- Async Python - asyncio, FastAPI
- Prompt 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