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Clera

Applied AI Engineer (Matching & Search)

San FranciscofulltimemidAdded 1 month ago

About this role

Clera, an AI-driven recruitment platform, seeks a founding engineer to build agentic systems that automate headhunting at scale. You'll work directly with the CTO in their San Francisco hackerhouse, shipping features daily while helping reimagine how talent discovers opportunities.

What you'll do

  • Develop and ship AI-powered matching and search features to production
  • Build end-to-end agentic systems to automate headhunting workflows
  • Collaborate closely with CTO and founding team on core platform architecture
  • Own projects from concept through deployment with full accountability
  • Gather customer feedback and iterate on product solutions
  • Scale technical systems as the marketplace grows

What they're looking for

  • TypeScript and React
  • LLM APIs and AI coding tools (Cursor)
  • Software engineering fundamentals
  • Full-stack development
  • Startup mindset and high agency
  • Fast prototyping and iterative shipping
  • Customer-driven product thinking

Benefits

  • Visa sponsorship to relocate to San Francisco
  • Live and work with founding team in hackerhouse setting
  • Meaningful equity and early-stage ownership
  • Ship to production daily with minimal bureaucracy
  • Work on technically challenging, high-impact problems
  • Experienced founding team and A-player colleagues
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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

  • Walk us through a project where you built matching or search functionality. How did you approach ranking and relevance?
  • Tell us about your experience working with LLM APIs. How have you integrated them into production systems, and what challenges did you face?
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