Software Engineer, AI Engineer (Applied​/Software), Backend Developer

About interface.ai

interface.ai is the agentic AI platform for financial services — bringing conversational and agentic AI to the credit unions and community banks that serve everyday Americans. We're not a lab, we're not a demo company, and we're not burning runway on hypotheticals. We are in production, generating real revenue, and on a mission that matters: making intelligent financial services available to the millions of people who've never had a private banker.

More than 100 banks and credit unions run on interface.ai, reaching over 10 million people. Many products are live today; the biggest bets — an AI-first contact center and an AI-native consumer banking experience — are what comes next. Backed by $30M in Series A funding and already cash-flow positive, we're at the inflection point: a proven product, paying customers, and a profitable business rebuilding itself as an AI-native company to lead a world where agents, not software, do the work.

We're rebuilding interface.ai as an AI-native company — and we want engineers who learn to work this way from day one, not after unlearning somewhere else's habits. As an early-career Software Engineer, you ship production features from your first weeks — real users, real money, real stakes — and take on larger scope as fast as you can carry it.

This is not a rotational program, and you won't be one of a cohort. We hire early-career engineers in ones and twos. Our product and engineering org is deliberately lean relative to the millions of conversations it serves — new engineers get real scope because there's no one else queued up for it. Agents take the routine work; you spend your time on decisions and on 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 — the expected path is owning bounded pieces of the product end-to-end within your first year.

• Real features, fast. Production code in your first weeks, shipped to live financial institutions. No sandbox, no staging purgatory.

• The proof. You own the evals for what you build. In a regulated industry,  it looks right  isn't a standard — evals are how you know what shipped is correct.

• Your trajectory. Larger scope as fast as you can carry it. Bounded end-to-end ownership within year one is the expected path, not the exception.

• The AI leverage. Build with LLMs daily — steering agents through the routine work so your time goes where judgment matters.

• You build things nobody asked you to build — a side project with actual users, hackathon wins, merged open-source PRs, or internship work that shipped. Any one of these matters more to us than GPA.

• You've built with LLMs and you verify their output instead of trusting it. Vibes don't pass review; evals do.

• A degree in CS or a related field (engineering, math, physics, statistics) — or show us what you've built instead. Self-taught builders are welcome.

• High agency — you'd rather be handed a problem than a ticket, and you close loops without reminders.

• Graduating 2024 – December 2026, or up to ~2 years of experience.

• On-site in downtown San Francisco office 5 days a week — we provide commuter benefits if in the general Bay Area, and relocation support if you're not.

• Competitive programming (Code forces, ICPC, USACO) — a plus, not a requirement

• Experience in fintech or banking infrastructure

• 100% paid health, dental & vision care

• 401(k) & financial wellness perks

• Daily meals on us

• Commuter benefit

• Monthly wellness stipend

• Claude Enterprise + frontier AI tools for…