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.
- Direct experience working with healthcare data, including one or more of:
- Healthcare operational workflows
- Strong understanding of healthcare terminology, clinical workflows, and the practical challenges of deploying AI solutions in healthcare settings.
AI Engineering Experience
- 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.
Technical Skills
- 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.
Preferred 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 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 One or More of the Following
- OpenAI, Anthropic, Gemini, or similar foundation models
- Enterprise search systems
- Agent orchestration platforms
- Workflow automation tools
Who Thrives Here You will thrive at HLI if you:
- Love building and shipping products quickly.
- Enjoy solving messy, real-world problems.
- Are excited about the future of AI agents.
- Can move from concept to production with minimal oversight.
- Prefer impact over academic research.
- Are energized by startup environments and rapid iteration.
- Want to help transform healthcare through technology.
