Staff Software Engineer

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.

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 Staff Software Engineer role  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 work streams, 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.

• 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

• 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 Type Script 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

• Architected production conversational AI systems, voice AI, or real-time NLP pipelines
• Deep domain experience in fintech, payments, core banking, or financial data infrastructure
• Experie…