Interface AI Logo

Interface AI

Senior Software Engineer

Posted 13 Days Ago
Remote
Hiring Remotely in USA
230K-250K Annually
Senior level
Remote
Hiring Remotely in USA
230K-250K Annually
Senior level
Lead design and implementation of scalable platform services, own architecture/API/data model decisions, build backend systems in TypeScript and Python, integrate LLM/agentic AI into production, enforce engineering standards, and collaborate daily in-office with product, design, and data teams.
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.

 

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.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

Yesterday
Easy Apply
Remote or Hybrid
Easy Apply
140K-190K Annually
Senior level
140K-190K Annually
Senior level
Fintech • Software • Financial Services
Design, build, deploy, and operate Node.js and TypeScript backend services supporting account onboarding, identity verification, agreements, and funding. Own event-driven workflows, asynchronous processing, job orchestration, integrations, reliability, monitoring, and operational tooling. Develop scalable services on Google Cloud Platform and Kubernetes, support expansion into new markets, coordinate technical direction, and mentor engineers. Ensure correctness through idempotency, retries, reconciliation, and resilient handling of partial failures.
Top Skills: Claude CodeCodexCursorDockerGoogle Cloud PlatformGoogle Cloud Pub/SubKafkaKubernetesNode.jsSQLStatsigTypescript
Yesterday
Easy Apply
Remote or Hybrid
Easy Apply
140K-190K Annually
Senior level
140K-190K Annually
Senior level
Fintech • Software • Financial Services
Design, build, and operate Rust services for account creation, identity verification, KYC/CIP decisioning, and asynchronous outcome delivery. Develop provider integrations, testable decision logic, secure PII workflows, policy-driven market configurations, and reliable cloud-native architecture using GCP and Kubernetes. Lead technical design reviews, establish cross-team contracts, respond to incidents, and mentor engineers while improving onboarding approval rates and time-to-funding.
Top Skills: Claude CodeCodexCursorDieselDockerGoogle Cloud PlatformGrpcHTTPJSONKubernetesProtobufRustSerdeSqlxStatsigTokioYaml
Yesterday
Easy Apply
Remote
USA
Easy Apply
186K-219K Annually
Senior level
186K-219K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design, build, and scale highly available backend and frontend systems powering Coinbase trading experiences for millions of users. Architect extensible support for multiple trading types and assets, evolve critical production infrastructure, partner with product and design, and promote engineering quality through code reviews, mentorship, and knowledge sharing.
Top Skills: Generative AiGoJavaMongoDBRedis

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account