Staff Software Engineer
Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on May 25, 2026. interface.ai scores C on the Alion truth index.
ABOUT INTERFACE.AI
Interface.ai is building the infrastructure layer for AI-powered financial services. Our agentic AI platform enables credit unions and community banks to deliver intelligent, real-time member experiences at scale - the kind of service that was previously inaccessible to most Americans. We're Series A ($30M), cash-flow positive, and past the point where engineering is about survival. Now it's about building something that lasts.
THE OPPORTUNITY
The Staff Software Engineer role at interface.ai is for someone who has already proven they can build - and is now ready to define how we build. You'll set the architectural direction for our core platform, operate as a technical authority across multiple engineering workstreams, and work in close partnership with our VP of Engineering, CTO and Co-Founder Bruce Kim, and CEO Srinivas Njay.
You won't have a manager hovering over your next decision. You'll be making the decisions - and owning the outcomes. This role has outsized influence on the company's technical trajectory, product velocity, and the careers of the engineers around you.
WHAT YOU'LL WORK ON
Define and own the technical architecture of interface.ai's platform - multi-modal APIs, real-time event systems, AI orchestration layers, and data infrastructure
Lead cross-functional technical initiatives: decompose ambiguous product bets into engineering roadmaps, mitigate systemic risks before they materialize, and drive resolution when they do
Architect scalable, production-grade agentic AI and conversational AI systems - including LLM integration layers, retrieval pipelines, tool-use orchestration, and evaluation frameworks
Establish the engineering standards that will hold as we scale from 30 to 300 engineers: service contracts, data models, deployment patterns, observability, and reliability targets
Serve as the technical bridge between product vision and engineering reality - you translate ambition into architecture, and architecture into shipped systems
Deeply embed AI-native development (Claude Code, Cursor) into engineering practice and help your peers build faster with it
Mentor and elevate senior engineers - your job is to make the team around you better, faster, and more autonomous
Operate in-person, in SF, 5 days a week - influence happens in rooms, on whiteboards, and in code reviews, not async threads
WHAT WE'RE LOOKING FOR
8+ years of software engineering, with the last several in roles where you set technical direction - not just executed it
A clear record of architectural wins: systems you designed that scaled, survived production, and that others still rely on
Expert-level proficiency in TypeScript and Python; strong JavaScript for full-stack contributions; comfort working across the stack when the problem demands it
Deep platform engineering expertise: distributed system design, event-driven architectures, cloud-native infrastructure, multi-tenancy, and horizontal scale
AI engineering depth: you understand the internals of LLM-based systems - context management, tool-use patterns, latency/cost trade-offs, evaluation strategy, and the emerging architecture of agentic AI
The ability to design for uncertainty - you build systems that can evolve as requirements change, not systems that assume stability
BS/BA in Computer Science required; MS or PhD in CS, AI, or a related field is a meaningful plus
Radical ownership: problems don't sit on your desk - they get solved, delegated, or escalated within 24 hours
Full-time SF presence - you're a force multiplier in the room
BONUS POINTS
Architected production conversational AI systems, voice AI, or real-time NLP pipelines
Deep domain experience in fintech, payments, core banking, or financial data infrastructure
Experience as a founding or early-stage engineer at a startup that shipped at scale
Published work, open-source contributions, or recognized technical writing in AI systems or platform engineering
WHAT THIS ROLE IS - AND ISN'T
This is not a principal-in-title-only role. You'll write code, review systems, and make judgment calls that affect the entire company. You'll partner directly with leadership - not through layers of management - and your architectural decisions will ship to production in weeks, not quarters. If you want to work at a place where your decisions can be felt, this is it.
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
Whyinterface.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