AI/ML Developer

Fedrus Global Llc
St. Louis, MO, United States
22 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Computer Vision Image Analysis Continuous Integration Distributed Systems Identity and Access Management JSON Python (Programming Language) PostgreSQL Role-Based Access Control
+17 more
Search Technologies Service Design Software Engineering SQLAlchemy Data Streaming WebSocket Large Language Models Multi-Agent Systems Prompt Engineering Git Fastapi Kubernetes Low Latency Live Streaming Api Design Docker Microservices

Job description

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.

Requirements

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

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