Senior AI/ML Developer - Python | LLM | LangGraph | RAG

Hi,

Hope you are doing great and keeping safe,

I am Subodh Kumar from Tech3Pillars Technologies LLC . We have an immediate position with one of our leading Clients. You may possess some of the skill sets they are looking for. Respond to me with your updated resume. If feels comfortable for same.

Role : Senior AI/ML Developer Python | LLM | LangGraph | RAG

Location: Saint Louis, MO

Work Arrangement: Hybrid

Type: W2 OR C2C

Role Summary:

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

Must Have:

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

Nice-to-Have :

LangGraph StateGraph (conditional edges, node pipelines, compiled graphs)

Multi-agent systems - orchestration, routing, RBAC-based access control

Langfuse or similar LLM observability (tracing, token usage, latency)

WebSocket and SSE streaming protocols

Multi-modal AI (vision models, image analysis)

Vector databases (OpenSearch, Pinecone, pgvector)

AWS services (Aurora PostgreSQL, SSM, IAM, EKS)

Telecommunications or field service domain experience

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

Thanks & Regards

Subodh Kumar

View email address on us.fitly.work