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Human Longevity

Genomics-driven data platform for personalized health

Applied AI Engineer - Multiple Teams

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSouth San Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • At least 4 years of experience building software, artificial intelligence, machine learning, or data-driven applications in healthcare, life sciences, biotechnology, genomics, diagnostics, digital health, or clinical environments.
  • Direct experience with one or more types of healthcare data, including clinical records, laboratory data, genomics data, imaging reports, physician documentation, patient communications, or healthcare operational workflows.
  • Strong understanding of healthcare terminology, clinical workflows, and the practical challenges of deploying artificial intelligence solutions in healthcare settings.
  • Proven experience building and deploying production artificial intelligence applications.
  • Hands-on experience with Large Language Models and modern artificial intelligence application development.
  • Experience with Retrieval-Augmented Generation, agentic artificial intelligence systems, prompt engineering, and workflow automation.
  • Ability to identify business problems and rapidly build solutions with a strong product mindset.
  • Experience deploying systems used by customers, clinicians, patients, or operational teams.
  • Strong proficiency in Python.
  • Experience with SQL and modern database technologies.
  • Experience with APIs, integrations, and distributed systems.
  • Familiarity with cloud platforms and modern software engineering practices.
  • Strong understanding of software architecture, testing, and deployment.

Responsibilities

  • Design, build, and deploy artificial intelligence-powered applications from concept to production.
  • Rapidly prototype 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.
  • Design and deploy autonomous and semi-autonomous artificial intelligence agents.
  • Implement multi-agent workflows that automate complex healthcare processes.
  • Evaluate and integrate modern agent frameworks and orchestration platforms.
  • Build artificial intelligence assistants that support clinical operations, member engagement, and internal productivity.
  • Build applications leveraging state-of-the-art Large Language Models.
  • Develop Retrieval-Augmented Generation systems across structured and unstructured healthcare data.
  • Optimize prompts, workflows, evaluation systems, and agent behavior.
  • Implement knowledge retrieval systems that unlock value from clinical, genomic, imaging, and operational data.
  • Build scalable data pipelines and artificial intelligence services.
  • Create reusable artificial intelligence components, APIs, and internal platforms.
  • Improve the reliability, observability, performance, and security of artificial intelligence systems.
  • Support deployment and monitoring of production artificial intelligence applications.
  • Take ownership of work from idea through production deployment.
  • Work cross-functionally with engineering, clinical, operations, and leadership teams.
  • Continuously evaluate and improve artificial intelligence solutions based on real-world outcomes.

Desired Qualifications

  • Experience with genomics, precision medicine, longevity medicine, radiology, pathology, or advanced diagnostics.
  • Experience with healthcare interoperability standards such as FHIR and HL7.
  • Experience building clinician-facing artificial intelligence products.
  • Experience building patient-facing artificial intelligence assistants.
  • Experience with healthcare privacy, security, and compliance requirements.
  • Startup or high-growth technology company experience.
  • Experience with OpenAI, Anthropic, Gemini, or similar foundation models.
  • Experience with LangGraph, LangChain, CrewAI, AutoGen, or PydanticAI.
  • Experience with vector databases, enterprise search systems, agent orchestration platforms, or workflow automation tools.

About the Company

Human Longevity

Genomics-driven data platform for personalized health

Human Longevity is a biotech company focused on genomics and data-driven insights to improve healthspan and lifespan. It aims to build the world’s largest database of human genotypes and phenotypes, integrating advanced technology to predict and prevent diseases. Founded in 2013 by Craig Venter, Peter Diamandis, and Robert Hariri, it has pursued significant funding rounds (e.g., $70M in 2014 and $220M Series B in 2017) to accelerate research and development. The company has faced scaling and commercialization challenges but continues to work on applying genomic data to personalized healthcare.

Company size
51-200
Company stage
Late Stage VC
Total funding
$359.8M
Headquarters
San Diego, CA
Founded
2013

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