Applied AI is how we turn a customer's hardest clinical workflow into production AI that actually ships. As an Applied AI Engineer, you own the technical delivery of real deployments end to end. You design the agents, build them, and are on the hook for whether they work in the field. The team is small and dense, and you get a lot of surface area early.
We hire Applied AI Engineers across every level, from new grads to deeply experienced engineers, and we work out level together once we've met you. What matters is not years on a resume but whether you can take an ambiguous problem and turn it into something reliable that patients and clinicians depend on.
What You Might Work On
Designing and building an AI agent for a specific clinical workflow, from first prototype to production
Deciding what an agent should and should not handle, and where it hands off to a human
Building the evaluations that decide whether an agent is safe to ship, and catching failure modes before patients do
Writing the integrations that let agents work inside a customer's existing systems
Debugging why a live conversation went wrong and fixing it across the whole stack
Finding the patterns that repeat across customers and turning them into something reusable
You May Be A Fit If
You've built real software that other people relied on, and you care whether it actually works, not just whether it shipped
You're comfortable with LLMs and agents, or you'll get comfortable fast
You take ownership. When something is broken you fix it, and you say so early when something is more than you can carry
You have good judgment about tradeoffs, and you'd rather get the direction right than move fast in the wrong one
You're low ego, direct, and hold yourself to a high bar
You can work on site in San Francisco
This role spans new grads through senior and staff engineers. Strong early-career people are welcome, and so are people who have done this work for a long time.
Nice To Have
Experience in a regulated or high-reliability domain (healthcare, finance, legal)
Background with evaluation, simulation, or synthetic data
Experience working directly with customers or domain experts
Python depth and experience building reliable systems on top of external APIs
Our Core Values
Patients Win, We Win
If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it.
High Standards, High Care
We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them.
Thoughtful Urgency
We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both.
Intensely Measured
We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it.
Who Builds With Us
Low ego:
Politics and territory don't interest you. The best ideas win, regardless of who has them.
Direct:
You say the hard thing, challenge ideas openly, and commit fully once decided.
High agency:
You thrive on trust rather than instruction. When you see something is broken, you fix it. You don't file tickets and wait for someone else.
Bar of excellence:
You hold yourself to a bar most people wouldn't, and you want teammates who do the same.
Skeptical:
You push back on rules that don't make sense and question assumptions that haven't earned their place.