Software Engineer II

interface.ai•San Francisco, CA

7h•$170,000 - $215,000•Onsite

About The Position

We're rebuilding interface.ai as an AI-native company — and the engineering that powers millions of live banking conversations has to be built by people who own what they ship. As a Software Engineer II, you own modules end-to-end: the design, the build, the evals, and the quality in production. This is not a maintain-someone-else's-code job. The product works, more than 100 financial institutions run on it, and the business is cash-flow positive. The job is to carry real scope inside a deliberately lean engineering org — one that serves millions of conversations precisely because every engineer on it ships like it's theirs. Agents take the routine work; you spend your time on the design decisions and the evaluation harnesses that prove what shipped is correct. We build in person, from San Francisco. At our stage speed is the whole game, and the fastest path between a problem and a decision is two engineers at the same desk. Scope, title, and pay track what you've put into production — tenure doesn't enter the math.

Requirements

Designed, built, and shipped production software end-to-end, and owned its quality after launch.
Built real product with LLMs and are rigorous about verifying model output.
Approximately 2-5 years of professional experience, leveled by the scope of shipped work.
High agency: prefer to be handed a problem rather than a ticket, identify issues proactively, and close loops without reminders.
AI-native by habit: use frontier AI tools daily to move faster and think sharper.
Must be able to work on-site in the downtown San Francisco office 5 days a week.

Nice To Haves

Early-engineer experience at a startup.
Open-source contributions or competitive programming experience.
Experience in fintech or banking infrastructure.

Responsibilities

Own your modules end-to-end: design, build, eval, ship, iterate.
Make design calls within your module and answer for its quality in production.
Maintain a weekly release cadence to live financial institutions.
Build with LLMs daily and steer agents through routine work.
Develop evaluation harnesses to verify model output and ensure correctness in a regulated industry.