Recruiting From Scratch-posted 7 days ago
$160,000 - $220,000/Yr
Full-time • Mid Level
Onsite • San Francisco, CA

Our client is an innovative, fast-growing AI startup transforming how organizations understand and learn from their users. Their platform uses cutting-edge real-time voice technology and custom large language models to deliver deep, qualitative insights at scale—helping product teams move faster, learn more, and make smarter decisions. The company has doubled revenue in the past few months and is on track for another major growth cycle. This is an opportunity to join a high-velocity environment, work on complex backend challenges, and contribute directly to a next-generation AI product that is redefining an industry. You’ll join a team that values ownership, rapid execution, and promoting from within. Engineers here work end-to-end on impactful features, experiment with emerging AI capabilities, and help shape the technical and product direction of the company.

  • Design, build, and optimize backend systems, APIs, and real-time data processing pipelines.
  • Lead projects from concept through production deployment, ensuring system scalability, performance, and reliability.
  • Collaborate directly with executive leadership on technical strategy and architecture.
  • Contribute to the development and refinement of in-house LLM capabilities and real-time interaction technologies.
  • Work cross-functionally with product and engineering teams to identify user needs and improve the core platform.
  • Engage with users to gather feedback, understand edge cases, and continuously enhance the product experience.
  • 3–10 years of professional software engineering experience.
  • Proven experience building production-grade backend services.
  • Strong ownership mindset; comfortable working in fast-moving, ambiguous environments.
  • Experience leading projects end-to-end with measurable impact.
  • Startup experience (Seed–Series D) or a track record of working in high-growth, product-centric environments.
  • Excellent communication skills and a collaborative, high-integrity approach.
  • Proficiency with Python and frameworks such as Django .
  • Strong experience with SQL databases , ideally Postgres.
  • Experience deploying services on AWS or similar cloud infrastructure.
  • Familiarity with WebRTC , real-time data streaming , or AI/ML infrastructure .
  • Interest in building net-new LLM functionality and working on modern AI-driven systems.
  • Entrepreneurial projects, side projects, or prior founder experience.
  • Competitive early-stage equity package
  • Opportunity to join a rapidly scaling AI company with meaningful ownership of systems and features
  • High-trust, growth-oriented culture with strong internal promotion philosophy
  • Work on complex, high-impact engineering challenges that directly shape the future of AI-driven user research
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