Staff Software Engineer

interface.ai

$130K — $180K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of software engineering experience with technical direction responsibilities
  • Demonstrated success in designing scalable production systems
  • Expert-level proficiency in TypeScript and Python, with strong JavaScript skills
  • Deep knowledge in platform engineering, event-driven architectures, and cloud-native infrastructure
  • Solid understanding of AI systems, particularly LLM-based architectures
  • Experience in designing adaptable systems that evolve with changing requirements
  • BS/BA in Computer Science required; advanced degrees are a plus
  • Strong sense of ownership with a proactive approach to problem-solving

Responsibilities

  • Define and own the technical architecture for a multi-modal AI platform
  • Lead cross-functional initiatives and convert product ideas into engineering roadmaps
  • Architect production-ready AI and conversational systems, including LLM integrations
  • Establish engineering standards for scaling the team from 30 to 300 engineers
  • Act as a bridge between product vision and engineering execution
  • Integrate AI-native development practices into the engineering team
  • Mentor senior engineers and enhance team capabilities through guidance
  • Work full-time in-person in San Francisco to foster collaboration

Benefits

  • 100% paid health, dental & vision care
  • 401(k) & financial wellness perks
  • Discretionary PTO + paid parental leave
  • Mental health, wellness & family benefits
  • A mission-driven team shaping the future of banking
Full Job Description
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
  • Discretionary PTO + paid parental leave
  • Mental health, wellness & family benefits
  • A mission-driven team shaping the future of banking


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