AI Engineer

About the Role

This is a hands-on engineering role at an early-stage healthtech marketplace that connects patients with vetted international clinics for affordable medical care. You will own the patient-facing AI conversation loop end-to-end, diagnosing failures in production and shipping fixes that directly improve patient outcomes. The role sits at the intersection of agent infrastructure and real-world empathy, making it both technically challenging and genuinely meaningful.

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 operations side, eliminating toil through code.

• Handle patient-facing situations with care 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

• Demonstrated ability to build and ship LLM or agent systems end-to-end; professional experience, personal projects, research, or open-source contributions all count equally.

• Hands-on experience with agent infrastructure: evals, RAG and retrieval systems, and tool integrations.

• Proficiency in Python or an equivalent language for building agent and automation infrastructure.

• Strong computer science and mathematics fundamentals; elite academic signals such as top-tier university degrees, published research, or math competition experience are a strong plus.

• Automation instinct: you spot recurring manual workflows and proactively eliminate them through code.

• Comfort owning systems end-to-end with minimal oversight in a fast-moving startup environment.

• Patient-facing warmth and empathy for handling difficult conversations and extracting product lessons from them.

• 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.

• Existing US work authorization required; no visa sponsorship available.

Compensation & Benefits

Salary range: $150,000 to $220,000 USD annually. No visa sponsorship is available; existing US work authorization is required.

Location

Full-time, on-site in San Francisco, California, five days per week. No remote exceptions.