Human Longevity

Applied AI Engineer (LLMs, Agents, and Healthcare AI)

Human Longevity
US South San Francisco, CA, US
Onsite 2026-06-25
Estimated salary · San Francisco
$113k–$197k
Low
$113K
Median
$149K
High
$196K
Market in San Francisco · BLS OEWS 2025

Job description

**About Human Longevity, Inc. (HLI)** Human Longevity, Inc. (HLI) is a leader in precision health, combining genomics, advanced imaging, biomarker testing, and artificial intelligence to transform the future of proactive healthcare. Our mission is simple: help people live longer, healthier lives through earlier detection, personalized insights, and data\-driven healthcare. We believe AI will fundamentally reshape healthcare over the next decade. From clinician copilots and patient\-facing assistants to autonomous workflows and intelligent healthcare operations, AI will become deeply embedded across every aspect of healthcare delivery. We are looking for an exceptional Applied AI Engineer who can help build that future. This is not a traditional data science role. This is a hands\-on engineering role focused on building, deploying, and scaling real\-world AI applications that create measurable impact across clinical, operational, and member experiences. **What You'll Do** As an Applied AI Engineer, you will build AI\-powered products and agentic systems that help clinicians, care teams, operations staff, and members work more effectively. You will rapidly prototype, deploy, and iterate on AI solutions using the latest advances in Large Language Models, Retrieval\-Augmented Generation (RAG), agent frameworks, and healthcare data platforms. Build AI Products * Design, build, and deploy AI\-powered applications from concept to production. * Rapidly prototype new ideas and transform them into production\-ready systems. * Partner directly with clinicians, operators, and business stakeholders to identify high\-value opportunities. * Deliver solutions that create measurable operational, clinical, or member\-facing impact. Build AI Agents * Design and deploy autonomous and semi\-autonomous AI agents. * Implement multi\-agent workflows that automate complex healthcare processes. * Evaluate and integrate modern agent frameworks and orchestration platforms. * B

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