AI/ML Developer

Tech3pillars Technologies; Alaska; On-site; USD 140,000 - 210,000; Full time

Job summary

Tech3pillars Technologies is seeking an AI/ML Developer to design, develop, and deploy LLM-powered agents and pipelines serving field technicians in production. You will work with the platform architect on the core multi-agent orchestration system.

The role emphasizes building real-time streaming, RAG pipelines, tool-calling agents, and robust, production-grade Python with strong system design skills. This onsite position in St. Louis, MO involves sprint-driven development and code reviews.

Qualifications

• 10+ years of software development in production environments.
• 2+ years hands-on LLM development with LangChain/LangGraph or equivalent.
• Experience with RAG pipelines, embeddings, vector search, re-ranking.
• LLM APIs: OpenAI Chat Completions, Responses API, streaming, tool calling.
• Expertise in Async Python (asyncio, httpx, FastAPI).
• Strong prompt engineering: system prompts, few-shot, structured JSON output.
• Knowledge of circuit breaker patterns and resilient service design.
• Experience with PostgreSQL and async ORMs (SQLAlchemy async).
• Familiarity with Git, CI/CD, Docker, Kubernetes basics.
• Strong system design skills for microservices and distributed APIs.

Responsibilities

• Design and develop LLM-powered agents using LangGraph and LangChain.
• Build multi-agent orchestration pipelines with routing, state management, and error handling.
• Develop RAG pipelines with hybrid search, re-ranking, and RR fusion.
• Implement tool-calling agents with parallel API execution and enrichment chains.
• Add real-time streaming capabilities (WebSocket/SSE) for conversational AI.
• Integrate with Azure OpenAI APIs including circuit breakers and fallbacks.
• Implement prompt management with DB-backed and in-memory caching.
• Develop multi-modal AI features including vision models.
• Write production-quality Python with logging, observability, and tests.
• Participate in code reviews, architecture discussions, and sprints.

Skills

Python

LLM development

Async programming

System design

API design

resiliency patterns

Tools

LangGraph

LangChain

OpenAI API

SQLAlchemy async

Alembic

Docker

Kubernetes

FastAPI

httpx

Job description

Role: AI/ML Developer

Location: St. louis, MO- Onsite

JD:

We are looking for a skilled AI/ML Developer to join our agentic platform team. 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 & 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, httpx, 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