Software Engineer
US$230,000 – US$250,000 / yr base salary
Posted 21 Jul 2026
Advertised as “Senior Software Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$230,000 – US$250,000 / yr |
|---|
Study levelGraduate certificate or higher
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.
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
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Lead the design and implementation of platform services — scalable, observable, and maintainable systems that power our AI products
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Own technical decisions end-to-end: architecture, APIs, data models, performance, and security
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Build and extend backend systems in TypeScript and Python; shape frontend experiences in JavaScript
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Drive the integration of LLM-based and agentic AI capabilities into production systems — this is applied AI engineering, not research
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Define and enforce engineering standards: code review, testing strategies, deployment practices, and incident response
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Embed AI-native tooling (Claude Code, Cursor) into your daily workflow and help the team get better at it
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Work side-by-side with product, design, and data — in the office, in real time, every day