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You'll own patient-facing AI conversations end-to-end, diagnosing failures in agent systems, shipping code fixes, and building infrastructure including tool integrations and RAG systems. You need 2+ years building and shipping LLM or agent systems, hands-on experience with agent infrastructure, and proficiency in Python. This is fully on-site in San Francisco, five days per week, with a base salary of $150,000–$200,000 annually. US work authorization is required; visa sponsorship is not available.
Written from this posting by Neural Jobs AI. The full description is below.
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.
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.
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.
Base salary: $150,000 to $200,000 USD annually. Visa sponsorship is not available; existing US work authorization is required.
This role is fully on-site, five days per week, in San Francisco, California, United States. No remote exceptions.
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97 more AI Engineer roles in San Francisco
210K – 250K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 68 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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