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Applied AI Engineer (LLMs, Agents, and Healthcare AI

Job in South San Francisco, San Mateo County, California, 94083, USA
Listing for: DevExplore
Full Time position
Listed on 2026-08-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below
Position: Applied AI Engineer (LLMs, Agents, and Healthcare AI)

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.

About

The Role

We believe AI will fundamentally reshape healthcare over the next decade. 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
  • Build AI Products:
    Design, rapidly prototype, and deploy AI-powered applications from concept to production, partnering directly with clinicians and business stakeholders
  • Build AI Agents:
    Design and deploy autonomous and semi-autonomous AI agents, implementing multi-agent workflows to automate complex healthcare processes
  • Develop LLM Applications:
    Build state-of-the-art Large Language Model applications and Retrieval-Augmented Generation (RAG) systems across structured and unstructured healthcare data
  • Engineer AI Infrastructure:
    Build scalable data pipelines, AI services, and reusable APIs while improving the reliability, observability, and security of AI systems
  • Own End-to-End Delivery:
    Take full ownership from idea through production deployment, continuously evaluating and improving AI solutions based on real-world outcomes
Required Qualifications
  • Healthcare Experience (Required): 4+ years of experience building software, AI, or data-driven applications within healthcare, life sciences, genomics, diagnostics, or clinical environments
  • Healthcare Data

    Experience:

    Direct experience working with clinical records, laboratory data, genomics data, imaging reports, or healthcare operational workflows
  • AI Engineering

    Experience:

    Proven track record building and deploying production AI applications, with hands-on expertise in LLMs, RAG, agentic AI systems, and prompt engineering
  • Technical

    Skills:

    Strong proficiency in Python, SQL, APIs, and modern database technologies
  • Software Architecture:
    Familiarity with cloud platforms, distributed systems, testing, and modern software engineering practices
Preferred Qualifications & Tech Stack
  • Experience with genomics, precision medicine, longevity medicine, radiology, or advanced diagnostics
  • Familiarity with healthcare interoperability standards (FHIR and HL7) and healthcare privacy/compliance requirements
  • Experience building clinician-facing or patient-facing AI products
  • Hands-on experience with foundation models (OpenAI, Anthropic, Gemini, etc.)
  • Experience with agent frameworks and orchestration platforms like Lang Graph, Lang Chain, CrewAI, Auto Gen, or PydanticAI
  • Familiarity with vector databases and enterprise search systems
Who Thrives Here & Why Join
  • You are a builder:
    You love shipping products quickly, prefer real-world impact over academic research, and can move from concept to production with minimal oversight
  • You love solving messy problems:
    You are energized by startup environments, rapid iteration, and the future of AI agents
  • Mission-Driven Impact:
    You want to work at the cutting-edge intersection of AI, genomics, and diagnostics to advance HLI's mission of extending healthy human lifespans
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