Software Engineer, Full Stack

Thinking Machines Lab•San Francisco, CA

15d•$350,000 - $475,000•Onsite

About The Position

The mission of Thinking Machines is to build AI that extends human will and judgment. We’re looking for a full stack engineer to build and ship products from prototype to scale and to maintain tools that accelerate research and product teams. You’ll work across frontend and backend components, and contribute to reliability, observability, and security in production. This is an "evergreen role" that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.

Requirements

Bachelor’s degree or equivalent experience in computer science, engineering, or similar.
Proficiency in at least one backend language (we use Python or Rust).
Some familiarity with ReactJS, TypeScript or mobile platforms.
Comfort operating across the stack and owning projects end-to-end.
Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.

Nice To Haves

Experience designing and maintaining backend APIs at scale.
Experience building tooling or products for LLMs or other systems that scale to a large number of users.
Ability to build high‑quality, production-level UIs from prototype to polish.
Familiarity with NodeJS, Python, and/or Rust.
Experience building AI products or other products that scale to a large number of users.

Responsibilities

Prototype and build new APIs and product backends in Python and Rust.
Launch new products and UX with React and TypeScript where needed.
Improve developer experience for local dev, deployment, testing, and iteration speed.
Improve system reliability, observability, and security across production environments; participate in on‑call.