RHC Solutions

Job Description

We are hiring a Senior LLM Systems / Agent Infrastructure Engineer to optimize and scale a production multi-agent LLM system that translates natural language into Cypher / SQL queries, executes guarded graph retrieval, and synthesizes structured RAG responses. You will engineer a faster, cheaper, and more reliable LLM system in production.

What We’re Building

A production multi-agent LLM system that:

• Converts Natural Language (NL) → Cypher (Neo4j) / SQL (PostgreSQL)
• Executes guarded graph queries
• Runs structured Retrieval-Augmented Generation (RAG)
• Orchestrates used tools

What You’ll Own

• Cut NL → Cypher / SQL latency
• Optimize model routing & tool orchestration
• Replace unnecessary LLM calls with deterministic logic
• Redesign context strategy
• Evaluate / replace current LLM stack (Google ADK)

Outcome: A faster, cheaper, and more stable pipeline.

Required

• 5+ years backend / ML systems experience
• 2+ years production LLM pipelines experience
• Strong Python (async, FastAPI)
• Experience with agent frameworks (LangGraph, DSPy, Semantic Kernel, etc.)
• Structured outputs / function calling
• RAG over structured data
• LLM + SQL or graph DB integration
• Strong grasp of token economics & latency optimization
• Inference optimization (vLLM, batching, streaming)