RHC Solutions

Joined in 2023
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RHC Solutions founded in 1994, RHC Solutions offers flexible IT support, professional IT project delivery and expert IT advice.

We support small, medium-sized ​and Enterprises businesses in Israel and internationally.

RHC Solutions helps clients to improve organizational and individual performance by leveraging well-managed IT infrastructure, backed up by expert IT support and advice.

The professionalism of our people, combined with the unique functionality of The RHC platform, ensures that we deliver a fast, exceptionally reliable and unusually accountable service to our clients.
  • · 57 views · 14 applications · 9d

    Senior LLM Systems / Agent Infrastructure Engineer

    Full Remote · Countries of Europe or Ukraine · 5 years of experience · English - C1
    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...

    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)
    More
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