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Clera

Product Engineer (Mid-Level)

San Francisco$150k–$300kfulltimemidAdded yesterday

About this role

Join an early-stage AI recruiting startup as a mid-level full-stack product engineer, owning features end-to-end while integrating LLM capabilities into user-facing flows. You'll work directly with founders on core product development, balancing technical depth with pragmatic decision-making in a small, high-impact team.

What you'll do

  • Own product features from scoping through deployment and production iteration
  • Design APIs, data models, and implement both frontend and backend code
  • Integrate LLM and AI capabilities into product flows reliably
  • Build and maintain scalable backend services with CI/CD, monitoring, and testing infrastructure
  • Ship user-facing experiences balancing usability and performance based on feedback
  • Collaborate with founders, product, and design on prioritization and success metrics

What they're looking for

  • TypeScript and React or Next.js
  • Python or Node.js backend development
  • PostgreSQL and relational database design
  • AWS or GCP cloud platforms
  • LLM and AI integration (production engineering)
  • API design and data modeling
  • CI/CD, monitoring, and DevOps practices
  • Product sense and user-focused problem solving

Benefits

  • Equity participation in early-stage startup
  • Direct collaboration with founders and leadership
  • Broad technical ownership and influence on product direction
  • On-site work environment in San Francisco
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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.

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Likely interview questions

  • Tell us about a product feature you shipped end-to-end—what was your approach from scoping to production iteration?
  • Describe your experience integrating LLMs or AI services into production applications. What challenges did you face?
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