# Staff Software Engineer at interface.ai > Onsite · United States · Staff · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Ainterface-ai%3Add8be34a-0cfe-41ed-a06a-ef8bb285da50 (read 2026-11-05). ## Facts (observed) - Company: [interface.ai](https://alderhq.app/companies/interface-ai) - Location text: San Francisco - Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco") - Posted: 2026-05-25 (163 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/interface-ai/dd8be34a-0cfe-41ed-a06a-ef8bb285da50 - Skills listed (inferred): TypeScript, JavaScript, Python, LLMs, Distributed systems ## Pay and sponsorship - Posted pay: $260k–$310k per year (from the listing's pay field) - Market band for similar posted roles (SF Bay Area, n 851): p25 $206k, median $240k, p75 $281k ## Description (the employer's text) ### 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Ainterface-ai%3Add8be34a-0cfe-41ed-a06a-ef8bb285da50 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.