Founding AI Engineer ($130k-$200k + Equity) at Fast-growing Healthtech AI startu
Jack & Jill/External ATS, San Francisco, California, United States, 94199
Overview
Founding AI Engineer
at a fast-growing Healthtech AI startup.
Location:
San Francisco, USA.
Salary:
$130,000 - $200,000 + Equity. Job Description:
You will own the AI core of an innovative medical practice, building LLM-powered systems for immediate diagnosis and treatment. This role moves beyond chatbots, focusing on high-stakes medical decisions, clinical accuracy, and safety. Working directly with physicians, you will ship production-ready AI that directly impacts patient health outcomes and lives. Why this role is remarkable: Ship code that powers real-world medical decisions including prescriptions and lab orders rather than just building demos.
Join a high-performance founding team led by experienced entrepreneurs who previously scaled a telemedicine company to over $100M in revenue.
Benefit from significant ownership and career growth, with the potential to lead engineering domains or management as the team scales.
What you will do: Optimize LLM integration and prompt engineering for clinical accuracy, medical insights, and safety-critical diagnosis.
Architect AI infrastructure including RAG systems, semantic search, and complex memory systems for multi-turn patient conversations.
Implement medical safety guardrails and evaluation frameworks to eliminate hallucinations and ensure groundedness in high-risk scenarios.
The ideal candidate: 3+ years of software engineering experience with at least 12 months shipping LLM applications to production environments.
Expert-level Python skills and deep familiarity with token economics, vector databases, and RAG architectures.
An AI-native builder who uses modern tools like Cursor/Claude daily and prioritizes safety in high-stakes domains.
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Founding AI Engineer
at a fast-growing Healthtech AI startup.
Location:
San Francisco, USA.
Salary:
$130,000 - $200,000 + Equity. Job Description:
You will own the AI core of an innovative medical practice, building LLM-powered systems for immediate diagnosis and treatment. This role moves beyond chatbots, focusing on high-stakes medical decisions, clinical accuracy, and safety. Working directly with physicians, you will ship production-ready AI that directly impacts patient health outcomes and lives. Why this role is remarkable: Ship code that powers real-world medical decisions including prescriptions and lab orders rather than just building demos.
Join a high-performance founding team led by experienced entrepreneurs who previously scaled a telemedicine company to over $100M in revenue.
Benefit from significant ownership and career growth, with the potential to lead engineering domains or management as the team scales.
What you will do: Optimize LLM integration and prompt engineering for clinical accuracy, medical insights, and safety-critical diagnosis.
Architect AI infrastructure including RAG systems, semantic search, and complex memory systems for multi-turn patient conversations.
Implement medical safety guardrails and evaluation frameworks to eliminate hallucinations and ensure groundedness in high-risk scenarios.
The ideal candidate: 3+ years of software engineering experience with at least 12 months shipping LLM applications to production environments.
Expert-level Python skills and deep familiarity with token economics, vector databases, and RAG architectures.
An AI-native builder who uses modern tools like Cursor/Claude daily and prioritizes safety in high-stakes domains.
#J-18808-Ljbffr