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.

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.
• Direct experience working with healthcare data, including one or more of: clinical records, laboratory data, genomics data, imaging reports, physician documentation, patient communications, healthcare operational workflows.
• Strong understanding of healthcare terminology, clinical workflows, and the practical challenges of deploying AI solutions in healthcare settings.

• Proven experience building and deploying production AI applications.
• Hands‑on experience with Large Language Models (LLMs) and modern AI application development.
• Experience with Retrieval‑Augmented Generation (RAG), agentic AI systems, prompt engineering, and workflow automation.
• Strong product mindset with the ability to identify business problems and rapidly build solutions.
• Experience deploying systems used by real 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.

• Experience with genomics, precision medicine, longevity medicine, radiology, pathology, or advanced diagnostics.
• Experience with healthcare interoperability…