AI Engineer
Clera
- Location
- Onsite (San Francisco, California)
- Compensation
- $150k - $200k/yr
- Employment
- Full-time
- Level
- Mid Level
About the Role
Clera is a healthtech company in the medical tourism space seeking an AI Engineer to own the patient-facing AI conversation loop. The role involves building agent infrastructure, automating clinic workflows, and ensuring robust system performance to directly impact patient outcomes.
Skills
Full job details
About the Role
This is a hands-on AI engineering role at a healthtech company in the medical tourism space, where you will own the patient-facing AI conversation loop end-to-end. You will sit at the intersection of infrastructure and empathy, building robust agent systems that directly shape real patient outcomes. The work matters: when the AI stumbles, you fix it, and when patients need a human touch, you provide it.
What You'll Do
Diagnose why AI conversations with patients fail and ship code fixes to prevent recurrence.
Build and maintain agent infrastructure, including tool integrations, evaluation frameworks, and retrieval systems.
Automate recurring manual workflows on the clinic side, eliminating toil through code.
Handle patient-facing situations with empathy when the AI falls short, turning those moments into product insights.
Own systems end-to-end with minimal oversight, making architectural and implementation decisions independently.
What We're Looking For
2+ years of demonstrated experience building and shipping LLM or agent systems end-to-end (professional, personal projects, research, or open-source all count equally).
Hands-on experience with agent infrastructure: evals, RAG/retrieval systems, and tool integrations.
Proficiency in Python or an equivalent language for building agent infrastructure.
Strong computer science and mathematics fundamentals; elite academic signals such as top-tier university backgrounds, published research, or mathematics competition experience are a strong plus.
Automation instinct: you spot recurring manual workflows and proactively eliminate them through code.
Ability to diagnose and fix failures in production LLM/agent systems.
Familiarity with vector databases, embedding systems, or semantic search is a plus.
Experience with prompt engineering, fine-tuning, or conversational AI evaluation is a plus.
Patient-facing warmth and empathy; comfort handling difficult conversations with care.
Startup autonomy: comfortable owning systems independently in fast-moving environments.
Existing US work authorization required; no visa sponsorship available.
Compensation & Benefits
Base salary: $150,000 to $200,000 USD annually. Visa sponsorship is not available; existing US work authorization is required.
Location
This role is fully on-site, five days per week, in San Francisco, California, United States. No remote exceptions.