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Clera

Full-Stack Software Engineer, Reinforcement Learning

San FranciscofulltimemidAdded today

About this role

Build full-stack engineering solutions for an AI reinforcement learning platform, creating product interfaces, backend systems, and internal tools that enable AI labs and partners to develop and iterate on RL training data. You'll own end-to-end experiences spanning frontend dashboards, vendor workflows, and infrastructure connecting data collection to model training.

What you'll do

  • Build product-facing tools for environment browsing, trajectory inspection, task quality review, and model behavior analysis
  • Develop vendor-facing workflows enabling external partners to create, submit, test, and iterate on RL environments
  • Create dashboards and observability tools for environment quality, evaluation results, and pipeline health monitoring
  • Design and implement backend services and APIs connecting task authoring, data collection, evaluation, and RL training
  • Partner with research, operations, and go-to-market teams to ship systems quickly with incomplete specifications
  • Own data inspection interfaces, review workflows, and quality assessment tools across the platform

What they're looking for

  • Full-stack development (Python, React, TypeScript, or Next.js)
  • Backend services and API design
  • Database design and implementation
  • Cloud infrastructure (AWS preferred)
  • Docker, CI/CD pipelines, and production debugging
  • Dashboard and observability tool development
  • Data inspection and quality review interface design
  • Kubernetes, Terraform, or Grafana (plus)

Benefits

  • Competitive compensation
  • Full medical, dental, and vision coverage for US employees
  • 401k retirement plan
  • Commuter benefits
  • PTO plus company-wide holiday break
  • Equinox gym membership, visa sponsorship, and relocation support
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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

  • Walk us through a full-stack product you've owned end-to-end—how did you approach the frontend, backend, and deployment?
  • Describe your experience building data inspection or quality review tools. What made them effective for users?
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