Interface AI Logo

Interface AI

Software Engineer II

Posted 2 Days Ago
In-Office
San Francisco, CA, USA
170K-215K Annually
Mid level
In-Office
San Francisco, CA, USA
170K-215K Annually
Mid level
Build and own end-to-end production modules for an AI-native fintech platform using LLMs. Ship weekly releases, create evaluation harnesses to verify model outputs, and maintain quality in live banking environments. Work on-agentic and conversational AI systems in a fast-paced, on-site San Francisco team.
The summary above was generated by AI

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.

 

Role Overview

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.

 

What You'll Own

  • Your modules. End-to-end ownership — design, build, eval, ship, iterate. You make the design calls within your module and answer for its quality in production.

  • The ship cadence. Weekly releases to live financial institutions — real customers, real money, real consequences. No demos, no staging purgatory.

  • The AI leverage. Build with LLMs daily. Steer agents through the routine work so your time goes to the decisions that matter.

  • The proof. The evaluation harnesses that verify model output. In a regulated industry, "it looks right" isn't a standard — evals are how you know what shipped is correct.

 

What We're Looking For

  • You've designed, built, and shipped production software end-to-end — and owned its quality after launch, not just at launch.

  • You've built real product with LLMs, and you're rigorous about verifying model output. Vibes don't pass review; evals do.

  • ~2–5 years of professional experience — we level on the scope of what you've shipped, not your title.

  • High agency — you'd rather be handed a problem than a ticket. You identify what's broken before it's assigned and close loops without reminders.

  • AI-native by habit — you use frontier AI tools daily to move faster and think sharper, because that's how this company works.

  • 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.

 

Bonus

  • Early-engineer experience at a startup — you know what it means to carry scope when the team is small

  • Open-source contributions or competitive programming

  • Experience in fintech or banking infrastructure

 

Benefits

🩺 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 every employee — build with the best

🏙️ Brand-new 21st-floor SF office at 44 Montgomery — floor-to-ceiling views, worth showing up to

🌴 Discretionary PTO + paid parental leave

🧘 Mental health, wellness & family benefits

🚀 A mission-driven team shaping the future of banking

 

Why interface.ai

Series A · $30M raised · Cash-flow positive — we're not burning cash hoping the product works. It works. Customers are live, revenue is real, and the mission is one you can explain to your family without a slide deck.

You'll work directly with Bruce Kim (CTO / Co-Founder), who sets the technical bar and goes deep on the hardest problems, and Srinivas Njay (CEO), who is hands-on daily across product and engineering. Founding-team-tier equity, top-of-market base, comprehensive benefits, and a modern San Francisco office worth showing up to. The team is small enough that your judgment shapes everything, and the market is large enough that what you build will matter for a long time.

 

interface.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

Similar Jobs

4 Days Ago
Remote or Hybrid
California, USA
85K-130K Annually
Mid level
85K-130K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Design, develop, and maintain Python-based web applications and integrations. Collaborate in an Agile team, participate in code reviews and scrum ceremonies, work with stakeholders to translate workflows into tickets, troubleshoot production issues, and optimize database queries and application performance. Use Flask/Django, relational and NoSQL databases, web services, and containerization.
Top Skills: AmqpAWSCSSCsvDjangoDockerFlaskHTMLJavaScriptJSONMongoDBMySQLNoSQLPythonRdsReactRestSoapXML
11 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
155K-208K Annually
Senior level
155K-208K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, develop, test, and operate cloud-connected vehicle firmware and services. Build and maintain firmware features in C/C++ and Go, support large-scale device fleets, implement observability and rollout metrics, triage customer and QA issues, and collaborate with product, firmware, and systems teams to deliver production-ready IoT solutions.
Top Skills: BuildkiteC++CanCan-UtilsDatabricksFirmwareGoGraphQLLinuxLinux DriversLteObservabilitySocUsbWifi
2 Days Ago
Easy Apply
Remote or Hybrid
6 Locations
Easy Apply
131K-198K Annually
Senior level
131K-198K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design and build scalable AI platform capabilities to enable multi-step GenAI workflows, model execution, and integrations. Implement backend services, execution infrastructure, APIs, and observability to support production GenAI experiences across sales and product teams. Collaborate with AI engineers, data scientists, and product partners to turn AI use cases into reliable, extensible platform features.
Top Skills: GenaiGoGongJavaLangchainLlmsMcpOpenai SdkOutreachPythonRetrieval SystemsSalesforceStreaming Voice/Chat PipelinesVector Databases

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account