Recruiting From Scratch-posted 11 days ago
$190,000 - $280,000/Yr
Full-time • Mid Level
Onsite • San Francisco, CA

Our client is a rapidly scaling AI startup building next-generation developer tools that help engineering teams ship faster and with fewer bugs. Their flagship product is an AI system that reviews and analyzes large, multi-language codebases with deep contextual understanding—supporting everything from code review to debugging to custom internal dev-tooling. The company serves 1,000+ engineering teams across industries including technology, finance, healthcare, and defense. With strong product-market fit, exceptional growth (30% month-over-month), and newly secured Series A funding from top-tier investors, this is an opportunity to join a high-trajectory team working on some of AI’s most complex and meaningful engineering problems.

  • Tackle some of the most challenging engineering problems in AI and developer tooling, including LLM memory optimization, semantic search across large codebases, multi-language indexing, and more.
  • Design, implement, test, and deploy full end-to-end product features across the stack.
  • Collaborate closely with founders and engineering leadership to shape technical direction, product strategy, and roadmap priorities.
  • Gather user feedback, rapidly iterate, and ship improvements at high velocity.
  • Work in-person with a small, high-caliber team where you will have significant ownership and visibility.
  • 2–8 years of full-time software engineering experience.
  • Strong experience building products end-to-end, ideally in fast-paced or high-growth environments.
  • Comfortable working across the stack with an emphasis on backend or full-stack development.
  • Proficiency with TypeScript/JavaScript and interest in working with AWS-based infrastructure (ECS, Lambda, Postgres, DynamoDB).
  • Enjoy solving complex technical challenges, especially related to AI, developer tools, or large-scale systems.
  • Thrives in an on-site environment and is excited about hands-on, deeply technical work.
  • Motivated by high ownership, rapid iteration, and building foundational components in an emerging product category.
  • Experience working on B2B developer products or complex technical platforms.
  • Exposure to AI/ML concepts or interest in learning more.
  • Previous startup or early-stage company experience.
  • Background in systems-level thinking or experience with semantic search, indexing, compilers, or large codebases.
  • Experience as a technical founder or exposure to research-oriented work.
  • Comprehensive benefits package including healthcare, paid time off, and other startup-competitive perks.
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