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EarnIn

Software Engineer (Gen AI)

Mountain View, USmidAdded 1 month ago

About this role

EarnIn is seeking a Software Engineer to build AI-powered financial products that help users access their earnings in real-time. You'll own features end-to-end, working with modern generative AI tools and collaborating across product and ML teams to deliver customer-focused solutions.

What you'll do

  • Build and ship agent-driven chatbots and GenAI workflows with measurable customer impact
  • Own features end-to-end from concept through implementation, evaluation, and impact measurement
  • Work hands-on with modern AI development tools like Cursor and Claude-style assistants
  • Collaborate with product, ML, and engineering teams in a fast-moving environment
  • Identify problems proactively and iterate on how the team builds with AI
  • Design reliable, maintainable systems with thoughtful architecture

What they're looking for

  • Software engineering fundamentals and system design
  • 3+ years professional software development experience
  • AI-assisted development tools (Copilot, Cursor, or LLMs)
  • Writing reliable, maintainable, durable code
  • Generative AI and agent-based development
  • Problem-solving and quick learning ability
  • End-to-end feature ownership
  • Cross-functional collaboration

Benefits

  • Base salary: $181,000–$222,000
  • Equity compensation
  • Health and wellness benefits
  • Hybrid work (2 days/week in Mountain View HQ)
  • Opportunity to work on mission-driven fintech
  • Exposure to cutting-edge AI development practices
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EarnIn

EarnIn builds AI-powered financial products that enable users to access their earnings in real-time. The company is hiring Software Engineers to own features end-to-end, working with generative AI tools and collaborating across product and ML teams.

Website
earnin.com
View all jobs at EarnIn

Likely interview questions

  • Tell us about a time you built and shipped a feature end-to-end. How did you approach ownership and measure impact?
  • Describe your experience working with GenAI tools, LLMs, or AI-assisted development. How have you incorporated them into your workflow?
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