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About the Role

We are looking for an exceptional Applied AI Engineer who can help build the future of AI in healthcare. 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.

Responsibilities

• Build AI-powered products and agentic systems that help clinicians, care teams, operations staff, and members work more effectively.
• 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.
• 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.

Requirements

• 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 standards such as FHIR and HL7.
• Experience building clinician-facing AI products.
• Experience building patient-facing AI 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.
• Experience with LangChain.
• Experience with CrewAI.
• Experience with AutoGen.
• Experience with PydanticAI.
• Experience with Vector databases.
• Experience with Enterprise search systems.
• Experience with Agent orchestration platforms.
• Experience with Workflow automation tools.

Skills

• Python
• SQL
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Agentic AI systems
• Prompt engineering
• Workflow automation
• Cloud platforms
• Software architecture
• Testing
• Deployment
• APIs
• Integrations
• Distributed systems
• Genomics
• Precision medicine
• Longevity medicine
• Radiology
• Pathology
• Advanced diagnostics
• FHIR
• HL7
• Healthcare privacy
• Healthcare security
• Healthcare compliance
• OpenAI
• Anthropic
• Gemini
• LangGraph
• LangChain
• CrewAI
• AutoGen
• PydanticAI
• Vector databases
• Enterprise search systems
• Agent orchestration platforms
• Workflow automation tools

Experience Level

• 4+ years of experience

About the Company

• 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.