Skip to main content

Clera

AI Engineer

San Francisco$150k–$220kfulltimemidAdded today

About this role

Build and own AI agent systems that directly serve patients at a healthtech marketplace, focusing on diagnosing failures, shipping fixes, and automating clinic workflows. You'll work end-to-end with minimal oversight on infrastructure for patient conversations, balancing technical excellence with empathy for real-world impact.

What you'll do

  • Diagnose AI conversation failures and ship code fixes to prevent recurrence
  • Build and maintain agent infrastructure including tool integrations, evaluation frameworks, and retrieval systems
  • Automate recurring manual clinic workflows through code
  • Handle patient-facing situations with empathy when AI systems fall short
  • Own systems end-to-end, making independent architectural and implementation decisions
  • Turn patient interactions and failure modes into actionable product insights

What they're looking for

  • LLM and agent systems design and deployment
  • Python or equivalent systems programming language
  • Agent infrastructure (evaluation frameworks, RAG/retrieval, tool integrations)
  • Production system debugging and failure analysis
  • Prompt engineering and model evaluation
  • Vector databases and semantic search
  • Computer science and mathematics fundamentals
  • Automation and workflow optimization

Benefits

  • End-to-end ownership of patient-impacting systems
  • Work on healthcare AI with real-world patient outcomes
  • Small senior team environment with high autonomy
  • Competitive salary $150,000–$220,000 annually
  • On-site collaboration in San Francisco
  • Opportunity to shape product through direct patient feedback
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

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 time you diagnosed and fixed a failure in a production LLM or agent system—what was the root cause and how did you prevent it?
  • Describe your experience building agent infrastructure like evaluation frameworks or tool integrations—what challenges did you face?
Unlock all 7 questions free — and practice them live →