Staff AI Engineer
Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Aug 21, 2026.
About Metabody
Your body runs continuously. Your care runs on appointments - fifteen minutes against half a million minutes of signal a year. The data piles up in apps nobody reads between visits, and by the time anyone looks, the window has closed.
Metabody closes the loop. We unify every signal - wearables, labs, records - into one longitudinal graph; our AI co-clinician reads it continuously and surfaces what matters; and a licensed provider in any of 50 states is ready to act. Not just a wearable. Not just telehealth. The whole loop, compounding with every outcome.
We're early, with real patients across all 50 states and a founding team that's built, shipped, and scaled before. This is a founding-team hire: you'll own a function from day one and set the patterns the next ten people inherit. We hold a high bar - for precision, for follow-through, and for treating patients like people in command, not cases to manage.
The Role
You set the direction for our AI co-clinician - the system that reads every patient's longitudinal graph continuously and surfaces what matters, always cited, always grounded in the record. Not demos: orchestrated multi-model and agentic systems that hold up when a real patient is on the other end.
What you'll do
Drive the architecture of the AI co-clinician: orchestrated multi-model pipelines, RAG grounded in the patient's record, and agentic workflows that are reliable, not just impressive.
Set technical direction on what's worth building and what's a dead end - and bring the rest of the team with you.
Own the evals, observability, and NOHARM clinical guardrails that catch overconfident output before a patient does.
Be the in-house skeptic on your own systems. In healthcare, a confidently wrong model isn't a bug - it's a patient-safety event.
Use AI tools daily to multiply your output while keeping your judgment in the loop. Inquisitive by default: "wouldn't it be cool if we could…" - and then you build it.
What we're looking for
Strong AI/LLM/RAG development experience - proven in production, not in notebooks.
Prior experience with machine learning systems, not just today's generative AI and LLMs - you understand what came before and why it still matters.
A demonstrated ability to drive direction on orchestrated multi-model and agentic AI products.
The judgment to design evals and guardrails as first-class parts of the system, not afterthoughts.
Healthcare domain expertise is a plus, not a requirement - the bar is rigor and direction-setting. Experience fine-tuning LLMs is a nice-to-have.
Critical AI fluency: you reach for AI tools constantly, and you notice when they're wrong.
Values fit: precision, lead by example, follow-through, high trust and agency, own-it, ruthless empathy.
What we offer
Competitive salary, meaningful early-stage equity, full ownership of a function from day one, and excellent health benefits - traditional insurance plus modern perks.