Full-Stack AI Engineer

Liza Health is a Cambridge-based startup building an AI-enabled platform for modern primary care. Our bet is simple: primary care is the foundation of a healthy US health system, and AI finally makes it possible to rebuild and scale primary care from first principles instead of patching what's broken.

Liza was co-founded by Dr. Rushika Fernandopulle, a practicing physician who previously co-founded Iora Health, the relationship-based primary care company later acquired by One Medical and then Amazon, serial tech entrepreneur and investor Andy Palmer and healthcare serial entrepreneur Duncan Reece. We bring decades of experience redesigning care delivery together with a team that builds with frontier AI every day.

We work alongside primary care practices to change how care is delivered: more time for relationships, less time on administrative burden, and patients who get the right care at the right time. If you want your engineering work to make care better for real patients and clinicians, this is the place.

We're hiring AI Engineers who will design, build and ship the AI systems at the core of Liza's care model. You'll own problems end to end: sitting with clinicians and care teams to build real-world healthcare applications for patients, clinicians and clinical operators.

This is a generalist role by design. On any given week you might write a prompt and its eval suite, wire an agent into an EHR via FHIR, build a frontend feature for care coordinators, and develop healthcare data pipelines. We value curiosity, learning fast and shipping well. We don't care much about titles or hierarchy.

The AI engineering bar here is the one set at the top AI labs: we A/B-test agent changes in a harness, LLM judges score replies in production, and we review production traces every week. The difference is where the work lands: in the hands of patients and primary care teams across the US, helping real people live healthier lives while reducing overall healthcare costs.

• Build production AI applications and agentic systems that support patients, clinicians and care teams across scheduling, intake, documentation, care coordination, outreach and clinical decision support.

• Partner directly with patients, physicians, health coaches and operations staff to turn messy, real-world workflows into clear technical requirements and measurable outcomes.

• Work closely with our AI-native design team to create experiences that are simple, efficient and effective for all of our users.

• Design, test and iterate on prompts, context and tool definitions that shape how our models behave, and keep them versioned, reviewed and safe to change.

• Define and run evaluations: build gold-standard datasets with clinicians, write rubrics and automated graders, read transcripts for what the metrics miss, and set launch criteria before anything reaches a patient.

• Integrate AI with our healthcare stack: our FHIR backend (Medplum), practice EHRs, HIE aggregators such as Metriport, HL7 interfaces, claims and scheduling systems, and our data platform.

• Build with PHI, HIPAA, privacy, security and auditability in mind, including human-review workflows and clear escalation paths for clinical risk.

• Monitor systems in production and use error analysis, observability and user feedback to rapidly improve reliability, cost, latency and model selection.

• Turn what we learn into reusable building blocks: shared eval harnesses, agent patterns, integration libraries and internal tools that make the whole team faster.

We want exceptional builders who believe in our mission and want to have a great time pursuing it. You'll fit right in if you are:

• A mission-driven believer. You think…