Why This Role Stands Out
This hybrid role offers a fantastic opportunity to design and deploy cutting-edge LLM-powered agents, directly impacting field technicians and contributing to a core multi-agent orchestration system. You'll thrive here if you possess extensive Python and LLM development experience, with a passion for building resilient, scalable AI solutions. Apply today to advance your career in a dynamic tech environment!
Quick Overview
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.
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
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