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Clera

Founding Engineer (AI/ML)

San Francisco$130k–$170kfulltimemidAdded today

About this role

Join an early-stage AI recruiting marketplace as a founding engineer building the intelligence layer that matches talent with opportunities. You'll own recommendation systems, LLM-powered matching features, and production data pipelines while shipping features on a rapid cadence in a startup environment.

What you'll do

  • Build and own recommendation engines and ranking algorithms for candidate-job matching
  • Develop LLM-powered features using APIs to improve matching accuracy in production
  • Design and maintain production data pipelines and backend services across the full stack
  • Translate product requirements into shipped, production-ready features with full ownership
  • Collaborate cross-functionally to ship end-to-end features on a daily iteration pace
  • Architect production-grade database schemas and search infrastructure

What they're looking for

  • LLM API integration and production implementation
  • Recommendation systems and ranking algorithms
  • TypeScript and React for production applications
  • Supabase and Prisma ORM
  • Typesense or similar search/ranking infrastructure
  • Data pipeline architecture and production databases
  • Workflow automation tools (trigger.dev or similar)
  • AI-assisted development tools (Cursor)

Benefits

  • Visa sponsorship available
  • Hybrid work arrangement in San Francisco
  • Founding engineer equity and early-stage upside
  • Rapid shipping and high ownership environment
  • Cross-functional collaboration on core product
  • Daily iteration and quick feedback cycles
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

View all jobs at Clera

Likely interview questions

  • Describe a production LLM-powered feature you've built—how did you handle latency, costs, and quality?
  • Walk us through building a recommendation or ranking system from data pipeline to user-facing feature.
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