Software Engineer (SWE2)

Interface AI

$225K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-6 years of production engineering experience with user-dependent code
  • Proficiency in modern web/mobile stacks, specifically TypeScript, React, or Node
  • Strong fluency in AI applications and tools
  • Good problem-solving skills and adaptability in ambiguous situations
  • Preferred educational background: degree from a top 20 computer science program or significant startup contributions

Responsibilities

  • Develop and launch consumer-facing features for BankGPT across mobile and web platforms
  • Integrate with core banking systems and LLM APIs
  • Manage features end-to-end, including architecture and user data iterations
  • Collaborate daily with senior engineers, product managers, and founders

Benefits

  • Equity stake of 0.10%-0.20% as part of the founding team
  • Work in an office environment 5 days a week in either SF or PA
Full Job Description
KEY FACTS
  • Base salary: $225,000
  • Equity: 0.10%-0.20% (founding-team tier)
  • Location: SF or PA • 5 days in-office
  • Experience: 3-6 years of production engineering
  • Reports to: VP of Engineering (when hired) / Bruce Kim (CTO)
Why This Role Is Unique

As a Software Engineer (SWE2), you sit at a rare intersection: working directly with OpenAI's research team on frontier model capabilities while shipping those breakthroughs into a consumer product that touches millions of people's financial lives. Most engineers get one or the other. Here you get both.

What You'll Do• Ship consumer-facing features across BankGPT mobile and web - conversational AI interfaces, account
aggregation, transaction intelligence, proactive notifications, dynamic UI generation.
• Build integrations with core banking systems, Plaid/MX, and LLM APIs.
• Own features end-to-end: architecture, implementation, testing, observability, iteration based on real user data.
• Work hand-in-hand with senior engineers, PMs, and both founders every day.

What We're Looking For• 3-6 years of production engineering shipping code that real users depend on.
• Strong generalist chops in modern web/mobile stacks. TypeScript/React/Node or similar.
• Extreme AI fluency - uses AI tools daily, has rebuilt their workflow around them.
• Hunger and speed over credentials and pedigree.
• Bias to learn and tolerance for ambiguity.
• Preferred: Top 20 CS degree + relevant startup experience. Exception: exceptional startup track record with deep contributions can substitute for school pedigree.

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