Senior Software Engineer

interface.ai

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

Qualifications

  • 5+ years in software engineering with strong production-grade system experience
  • Proven portfolio demonstrating ownership of design decisions and outcomes
  • Expertise in TypeScript and/or Python; competency in JavaScript
  • Skilled in distributed systems, API design, and cloud architecture (AWS/GCP)
  • Knowledgeable in AI/ML engineering, specifically with LLMs and prompt engineering
  • Experience designing robust systems addressing latency, reliability, and scale
  • BS/BA in Computer Science; advanced degree preferred
  • Self-driven, identifies and resolves issues proactively
  • Located in SF, committed to a full-time in-office presence

Responsibilities

  • Lead design and implementation of scalable platform services for AI products
  • Make end-to-end technical decisions regarding architecture, APIs, and data models
  • Develop backend systems in TypeScript and Python, and enhance frontend experiences using JavaScript
  • Integrate LLM-based AI features into live systems
  • Establish and uphold engineering standards such as code review and testing strategies
  • Incorporate AI-native tooling into daily workflow for team enhancement
  • Collaborate closely with product, design, and data teams in an office setting

Benefits

  • 100% paid health, dental & vision insurance
  • 401(k) plan and financial wellness perks
  • Discretionary paid time off and paid parental leave
  • Mental health and family support benefits
  • Work with a mission-driven team innovating in banking
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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