Senior Software Engineer
Interface AIAbout the role
Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant.
We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies.
Ultimately, our mission is to drive financial well-being for millions of consumers.
With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.
ABOUT INTERFACE.AI
interface.ai is redefining how financial institutions serve their members through agentic AI and conversational AI — and we're doing it in production, at scale, with real outcomes. $30M in Series A funding. Cash-flow positive. A mission that matters: democratizing financial wellness for every American, not just the ones who can afford a private banker.
THE OPPORTUNITY
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.
WHAT YOU'LL 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
- 5+ 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
WHY INTERFACE.AI
You'll have real ownership, real influence, and real colleagues. We're past the existential phase — customers are live, revenue is real, and the problem we're solving is genuinely hard and genuinely important. If you want to be a cog in a machine, this is the wrong place. If you want to be the engineer who shapes how an AI company scales its platform, keep reading.
Compensation: Base $232,030 – $240,689 + Bonus + Equity + Benefits
At I
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