Senior Software Engineer
- Role
- Backend
- Experience
- Senior
- Employment
- Full-time
- Company size
- Startup
Open to US only. Set where you work from to check your eligibility.
No BS summary
Senior software engineer with 3+ years shipping production systems, strong TypeScript and/or Python, JavaScript, distributed systems, APIs, cloud architecture, and LLM/AI engineering. Must be in San Francisco and committed to 5 days/week in the office. Fintech or conversational AI experience is a plus.
Core skills
Required skills
Optional skills
About interface.
interface. 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. 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.
The Role
As a Senior Software Engineer, you're not just writing code — you're setting the technical direction for the systems you own. You'll work directly with our VP of Engineering, CTO and Co-Founder Bruce Kim, and CEO Srinivas Njay in a collaborative, in-person environment where the best ideas win and shipping is the scoreboard.
This role is for the engineer who has seen what "going fast" actually costs, knows how to build systems that hold up, and still gets things out the door.
Areas You Could Work On
- Lead the design and implementation of platform services — scalable, observable, and maintainable systems that power our AI products
- Own technical decisions end-to-end: architecture, APIs, data models, performance, and security
- Build and extend backend systems in TypeScript and Python; shape frontend experiences in JavaScript
- Drive the integration of LLM-based and agentic AI capabilities into production systems — this is applied AI engineering, not research
- Define and enforce engineering standards: code review, testing strategies, deployment practices, and incident response
- Embed AI-native tooling (Claude Code, Cursor) into your daily workflow and help the team get better at it
- Work side-by-side with product, design, and data — in the office, in real time, every day
What We're Looking For
- 3+ years of software engineering experience with a track record of shipping impactful, production-grade systems
- A portfolio of work you led, not just contributed to — you can walk through design decisions, trade-offs, and outcomes
- Deep proficiency in TypeScript and/or Python; solid JavaScript for frontend contributions
- Strong platform engineering instincts: distributed systems, API design, cloud architecture (AWS/GCP), observability
- Fluent in AI/ML engineering: you've built on top of LLMs, understand prompt engineering, and know where AI adds value — and where it doesn't
- Experience designing systems under real constraints — latency, reliability, cost, and scale
- BS/BA in Computer Science; graduate degree a plus (we take fundamentals seriously)
- Self-directed and decisive: you identify problems before they're assigned, propose solutions before they're requested, and close loops without reminders
- In SF, committed to 5 days/week — the collaboration is real and intentional
Bonus Points
- Production experience with conversational AI, dialogue systems, NLP pipelines, or agentic architectures
- Background in fintech, banking infrastructure, or regulated financial environments
- Experience being an early engineer at a startup that shipped successfully
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.
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. We celebrate diversity and are committed to creating an inclusive environment for all employees
What you'll do
- Lead the design and implementation of scalable, observable, and maintainable platform services that power AI products
- Own technical decisions end-to-end across architecture, APIs, data models, performance, and security
- Build and extend backend systems in TypeScript and Python
- Shape frontend experiences in JavaScript
- Drive integration of LLM-based and agentic AI capabilities into production systems
- Define and enforce engineering standards for code review, testing strategies, deployment practices, and incident response
- Embed AI-native tooling such as Claude Code and Cursor into daily workflow and help the team improve at using it
- Work side-by-side with product, design, and data in the office every day
What they require
- 3+ years of software engineering experience with a track record of shipping impactful, production-grade systems
- Portfolio of work you led, not just contributed to, with ability to explain design decisions, trade-offs, and outcomes
- Deep proficiency in TypeScript and/or Python
- Solid JavaScript for frontend contributions
- Strong platform engineering instincts, including distributed systems, API design, cloud architecture, and observability
- Fluent in AI/ML engineering, with experience building on top of LLMs and understanding where AI adds value
- Experience designing systems under real constraints such as latency, reliability, cost, and scale
- BS/BA in Computer Science
- Self-directed and decisive, able to identify problems, propose solutions, and close loops without reminders
- In San Francisco, committed to 5 days/week in the office
- Preferred: Graduate degree
- Preferred: Production experience with conversational AI, dialogue systems, NLP pipelines, or agentic architectures
- Preferred: Background in fintech, banking infrastructure, or regulated financial environments
- Preferred: Experience being an early engineer at a startup that shipped successfully
Benefits
- Offers equity
- 100% paid health, dental and vision care
- 401(k) and financial wellness perks
- Daily meals
- Commuter benefit
- Monthly wellness stipend
- Claude Enterprise and frontier AI tools for every employee
- Brand-new 21st-floor San Francisco office at 44 Montgomery
- Discretionary PTO
- Paid parental leave
- Mental health, wellness and family benefits
- Mission-driven team shaping the future of banking
- Founding-team-tier equity
- Top-of-market base
- Comprehensive benefits
interface.ai is the agentic AI platform for financial services, bringing conversational and agentic AI to credit unions and community banks.