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Staff Software Engineer

interface.ai· Engineering
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San Francisco$260k - $310k + equityFull-timePosted 3mo ago

About the role

Staff Software Engineer role at interface.ai responsible for defining architectural direction, owning technical outcomes, and influencing multiple engineering workstreams. Hands-on role requiring deep technical leadership, with in-person presence in San Francisco 5 days/week.

Responsibilities

  • 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 — translate ambition into architecture, and architecture into shipped systems
  • Deeply embed AI-native development (Claude Code, Cursor) into engineering practice and help peers build faster with it
  • Mentor and elevate senior engineers — help the team become better, faster, and more autonomous
  • Operate in-person, in SF, 5 days a week — influence happens in rooms, on whiteboards, and in code reviews

Qualifications

  • 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: understand internals of LLM-based systems — context management, tool-use patterns, latency/cost trade-offs, evaluation strategy, and agentic AI architecture
  • Ability to design for uncertainty — build systems that evolve as requirements change
  • BS/BA in Computer Science required; MS or PhD in CS, AI, or related field is a meaningful plus
  • Radical ownership: problems get solved, delegated, or escalated within 24 hours
  • Full-time SF presence — you're a force multiplier in the room

Skills

Required:TypeScriptPythonJavaScriptDistributed systems

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
  • Discretionary PTO + paid parental leave
  • Mental health, wellness & family benefits
  • A mission-driven team shaping the future of banking
Last updated Sep 25, 2026. Interested? Apply on the company site.

About interface.ai

The Most Capable AI Agents for Credit Unions & Community Banks

The site promotes The Most Capable BankGPT Platform for Credit Unions and Community Banks, featuring Agentic AI solutions for banking, voice, chat, fraud prevention, and compliance.

voice AIchatbotsai co-pilotartificial intelligencevirtual assistantdigital bankingcall center automationai banking bot
Company profileWebsite

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