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Founding AI Engineer: Mission-Critical LLM Systems; Hybrid

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Open Talent
Full Time position
Listed on 2026-05-27
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Founding AI Engineer: Mission-Critical LLM Systems (Hybrid)

Founding AI Engineer | LLM Systems | $500k+ & Equity | SF / Seattle / LA

Due to regulatory constraints this role is only open to US citizens.

Only a tiny % of AI engineers can build systems where failure actually matters.

A venture-backed frontier AI company is hiring a founding AI engineer to build production LLM systems for mission‑critical aerospace, defence & industrial operations.

The work is already in production, close to users, and held to a serious technical bar. You’ll own retrieval, evaluation, grounding, latency & reliability across LLM‑driven systems tied to real operational workflows.

You’ll own retrieval, evaluation, grounding, latency & reliability across LLM‑driven systems already tied to live operational workflows. The work sits close to technical users, domain experts & founders - so you’ll see the impact of what you ship.

What You’ll Do
  • Own and improve production‑grade RAG pipelines across hybrid search, reranking, embeddings & answer quality
  • Optimise retrieval performance across precision, recall, latency, grounding & hallucination control
  • Build scalable architecture for inference, caching, evaluation & monitoring
  • Work on document intelligence, agentic workflows & technical decision systems
  • Collaborate directly with founders, engineers & domain experts to ship fast without dropping the bar
  • 5+ years building serious software, ML or AI systems
  • Production experience with LLMs, RAG, retrieval, evals or agentic workflows
  • Strong Python, backend & systems instincts
  • Hands‑on experience with vector DBs, PyTorch, FastAPI, Lang Chain/Llama Index or similar
  • A track record shipping real systems - not demos
  • Startup, defence, aerospace, infra, fintech or hard‑tech background preferred
  • High ownership, low ego, strong technical judgement
Stack Offer
  • Up to $500,000+ base + equity
  • SF, Seattle or LA‑based engineers considered
  • Regular NYC presence expected - relocation strongly preferred for the right person
  • Small elite team
  • Fast decisions, high standards, serious ownership
Process
  • Technical Deep Dive
  • Assessment or Live Pairing
  • Founder / Team Fit

Fast: 2 weeks total.

If you’re in the top 1% of AI engineers and want to build systems that matter outside a demo environment, apply now.

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