Artificial Intelligence Engineer

AI Engineer (LLM / Agent Builder) – US citizen We are seeking a Software/ML engineer focused on AI initiatives who can own the backend + LLM integration side (API’s, workflows, etc.) If you are excited to work for a small, well-established company with an entrepreneurial, brilliant and successful CEO, please apply! To Start - What we’re building AI agent for new product launch (medical device) Focus on LLM-driven workflows + real-world automation Not research — production system that ships quickly Then expanding AI into other departments and R&D initiatives and into product development. Launch & Scale a First-of-Its-Kind Biologic We’re preparing to deploy a new, first-of-its-kind regenerative medicine product into a market where we’ve already driven $1B+ in sales. The immediate focus: build and ship AI systems that support launch, adoption, and real-world performance—from day one. This is not experimental AI. You’ll be working on models and systems that directly influence how a new biologic product is used, measured, and improved in the field. What you’ll do Build and deploy ML systems tied to product launch, clinical data, and market feedback Create feedback loops between real-world usage, outcomes, and product iteration Work across R&D, commercial, and operations to make AI actually useful Own systems end-to-end—from prototype to production impact Why this is different Live deployment environment — not a lab, not a roadmap First-of-its-kind product — no playbook, real ownership Proven platform — $1B+ in sales, existing distribution and data Tight team — fast decisions, minimal layers Ideal Candidate Profile Location: Los Angeles (within ~15 miles of El Segundo preferred); combination onsite and remote Experience: 2–4 years Background: Startup or fast-paced product company Software Engineer or ML Engineer (not academic-only) Core Skills (must-have) Hands-on with LLMs : OpenAI / Anthropic APIs Experience building: AI agents or workflow systems RAG (retrieval-augmented generation) a plus Strong backend: Python APIs (FastAPI, etc.) Able to: design + build systems end-to-end not just model or research work Nice-to-Have: Experience with: LangChain, LlamaIndex, or similar frameworks Built: automation tools internal AI systems Exposure to: production LLM challenges (latency, cost, reliability) Show more Show less