JOB-2055

An early-stage startup building AI software for space and aerospace mission engineering is looking for a hands-on applied AI engineer to turn LLM capabilities into dependable, production-grade engineering tools.

Your focus

  • Build end-to-end workflows that ingest technical documents and produce structured, reviewable engineering outputs such as requirements, trade studies and design-review packages
  • Develop reliable extraction and reasoning systems over specs, supplier data and engineering documents
  • Combine LLMs with deterministic calculations, simulations, databases and existing services
  • Create evaluation frameworks that measure accuracy, technical correctness and source traceability
  • Work directly with domain experts and own features from requirements through testing and delivery

Ideal background

  • 4–6 years as a software, applied AI or ML engineer with production AI/LLM software shipped
  • Strong backend and data engineering depth in Python, AWS and Docker, including document extraction pipelines
  • Experience with LLM orchestration, retrieval, semantic search, vector databases or multi-agent systems
  • Independent ownership and a scrappy, fast-shipping style; this is a product role, not pure research
  • Startup or founding-engineer experience, and exposure to aerospace, robotics, simulation or defense, are a plus

Hybrid in San Francisco. US citizenship required.