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

Human Longevity, Inc. • Full-time • South San Francisco, California, United States • 4d ago

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.

Build AI assistants that support clinical operations, member engagement, and internal productivity.

Develop LLM Applications

Build applications leveraging state-of-the-art Large Language Models.

Develop Retrieval-Augmented Generation (RAG) 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.

Engineer AI Infrastructure

Build scalable data pipelines and AI services.

Create reusable AI components, APIs, and internal platforms.

Improve reliability, observability, performance, and security of AI systems.

Support deployment and monitoring of production AI applications.

Own End-to-End Delivery

Take ownership from idea through production deployment.

Work cross-functionally with engineering, clinical, operations, and leadership teams.

Continuously evaluate and improve AI solutions based on real-world outcomes.

Required Qualifications

Healthcare Experience (Required)

4+ years of experience building software, AI, machine learning, or data-driven applications within healthcare, life sciences, biotechnology, genomics, diagnostics, digital health, or clinical environments.