Senior Software Engineer

interface.ai

$130K — $180K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of software engineering experience with impactful production systems
  • Demonstrated leadership through a portfolio showcasing design decisions and outcomes
  • Deep proficiency in TypeScript and/or Python; solid JavaScript skills for frontend work
  • Strong knowledge of platform engineering covering distributed systems and cloud architecture (AWS/GCP)
  • Fluency in AI/ML engineering and practical application of LLMs
  • Experience designing systems within constraints of latency, reliability, cost, and scale
  • Bachelor's degree in Computer Science; advanced degree is a plus
  • Self-directed and decisive with strong problem-solving skills

Responsibilities

  • Lead design and implementation of scalable, observable platform services for AI products
  • Own technical decisions across architecture, APIs, data models, performance, and security
  • Build and enhance backend systems using TypeScript and Python; develop frontend experiences in JavaScript
  • Integrate AI capabilities into production systems with a focus on applied engineering
  • Define and enforce engineering standards including code reviews and testing strategies
  • Utilize AI-native tools in daily work and enhance team proficiency
  • Collaborate closely with product, design, and data teams in a dynamic in-office setting

Benefits

  • 100% paid health, dental & vision care
  • 401(k) and financial wellness benefits
  • Discretionary PTO and paid parental leave
  • Mental health and wellness support
  • Opportunity to work with a mission-driven team in a positive product environment
Full Job Description
The Role

As a Senior Software Engineer, you're not just writing code - you're setting the technical direction for the systems you own. You'll work directly with our VP of Engineering, CTO and Co-Founder Bruce Kim, and CEO Srinivas Njay in a collaborative, in-person environment where the best ideas win and shipping is the scoreboard.

This role is for the engineer who has seen what "going fast" actually costs, knows how to build systems that hold up, and still gets things out the door.

Areas You Could Work On
  • Lead the design and implementation of platform services - scalable, observable, and maintainable systems that power our AI products
  • Own technical decisions end-to-end: architecture, APIs, data models, performance, and security
  • Build and extend backend systems in TypeScript and Python; shape frontend experiences in JavaScript
  • Drive the integration of LLM-based and agentic AI capabilities into production systems - this is applied AI engineering, not research
  • Define and enforce engineering standards: code review, testing strategies, deployment practices, and incident response
  • Embed AI-native tooling (Claude Code, Cursor) into your daily workflow and help the team get better at it
  • Work side-by-side with product, design, and data - in the office, in real time, every day


What We're Looking For
  • 5+ years of software engineering experience with a track record of shipping impactful, production-grade systems
  • A portfolio of work you led, not just contributed to - you can walk through design decisions, trade-offs, and outcomes
  • Deep proficiency in TypeScript and/or Python; solid JavaScript for frontend contributions
  • Strong platform engineering instincts: distributed systems, API design, cloud architecture (AWS/GCP), observability
  • Fluent in AI/ML engineering: you've built on top of LLMs, understand prompt engineering, and know where AI adds value - and where it doesn't
  • Experience designing systems under real constraints - latency, reliability, cost, and scale
  • BS/BA in Computer Science; graduate degree a plus (we take fundamentals seriously)
  • Self-directed and decisive: you identify problems before they're assigned, propose solutions before they're requested, and close loops without reminders
  • In SF, committed to 5 days/week - the collaboration is real and intentional


Bonus Points
  • Production experience with conversational AI, dialogue systems, NLP pipelines, or agentic architectures
  • Background in fintech, banking infrastructure, or regulated financial environments
  • Experience being an early engineer at a startup that shipped successfully


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

Series A • $30M raised • Cash-flow positive - we're not burning cash hoping the product works. It works. Customers are live, revenue is real, and the mission is one you can explain to your family without a slide deck.

You'll work directly with Bruce Kim (CTO / Co-Founder), who sets the technical bar and goes deep on the hardest problems, and Srinivas Njay (CEO), who is hands-on daily across product and engineering. Founding-team-tier equity, top-of-market base, comprehensive benefits, and a modern San Francisco office worth showing up to. The team is small enough that your judgment shapes everything, and the market is large enough that what you build will matter for a long time.

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