AI Engineer

Job Description

Job Description

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.