About the role
We are looking for a Software Engineer, Applied AI/Product with 3+ years of experience to build and ship agentic workflows on a platform at the intersection of medicine and law. You'll own problems end-to-end—from agent logic to the user interface—at a profitable, fast-growing startup ($10M+ ARR in under 14 months) that's building the best care experience in healthcare on a 30-year horizon.
What will you be doing?
- Building and shipping new agentic workflows that automate steps of complex casework for physicians and ops teams
- Designing and iterating on eval frameworks that determine whether an agent's output is reliable enough to ship
- Improving how the platform ingests, indexes, and assembles case context for agents to work from
- Building tooling and interfaces that bring agent capabilities into users' day-to-day workflows
- Setting patterns and tooling for AI-native development that the rest of the team builds on
Key Requirements
- Hands-on experience working with frontier AI models and their evaluation frameworks
- Owns problems end-to-end, from agent logic to the user interface
- Ships high-quality code fast—can take a vague problem to a shipped solution without a spec
- Engineers for correctness and reliability, not just functionality
- Able to work in-office in San Francisco Tuesday–Thursday (no relocation support)
About Thinking Machines Lab
About Us
We are a small team that cares about deep thinking, speed, craftsmanship, and putting customers first. Our mission is to build the best care experience in healthcare, on a 30 year horizon.
We help physicians achieve independence by making it easier to start, operate, and grow their practices. We believe the future of healthcare will be driven by individual physicians, not by large bureaucratic systems. Lowering the barrier to practice ownership lets doctors deliver better care for everyone.
The founding team brings deep expertise across medicine, product, operations, and engineering, including more than 30 years running independent practices across urgent care centers, surgical centers, and beyond. We have built 0-to-1 products at Meta, Dropbox, Instagram, Coda, and Nomad, and scaled companies to over $1B in valuation, $60M+ ARR, and 100M+ MAU.
Highlights
- We have strong product market fit. $10M ARR in under 14 months and enough demand in our pipeline to achieve our 2026 goal of $18MM ARR.
- We are profitable and funded by top tier healthcare investors.
- We are about 30 people today and rapidly growing across the company.
- You will fit in here if you want to own a product, a process, or a function and take it from 1 to 100.
Required skills
Other roles at Thinking Machines Lab
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Job details
Salary
$150,000 - $250,000
Location
San Mateo, United States
Experience
3+ years
Funding
Total raised
$2B
Last stage
Seed
Investors
Founders
Mira Murati
Co-Founder & CEO
Lilian Weng
Co-Founder
John Schulman
Co-Founder & Chief Scientist
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.