Staff Software Engineer at Interface AI

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Aug, 26

Salary

310043.0

Posted On

26 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

TypeScript, Python, JavaScript, Distributed System Design, Event-Driven Architectures, Cloud-Native Infrastructure, LLM Integration, Agentic AI, Multi-tenancy, API Design, Conversational AI, Retrieval Pipelines, Tool-use Orchestration, Platform Engineering, Technical Architecture, Mentorship

Industry

Software Development

Description

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 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. WHY INTERFACE.AI We're cash-flow positive with $30M in Series A funding, which means we have the runway to build right and the discipline not to waste it. Our mission — democratizing financial wellness through AI — is real, measurable, and winning. We offer top-of-market comp, meaningful equity at Series A prices, full benefits, and a culture built around engineers who take ownership and deliver. The team is small enough that your fingerprints will be on everything. The ambition is large enough that what you build will matter for a long time. Compensation: Base $263,245 – $310,043 + Bonus + Equity + Benefits At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

Responsibilities

Define and own the technical architecture of the platform, including multi-modal APIs and AI orchestration layers. Lead cross-functional initiatives to translate product vision into scalable, production-grade agentic AI systems.