Lotus Health AI

Research Engineer

San Francisco

Sponsorship not specifiedDetected 240 days ago

PythonSQLVector DatabasesDockerMachine LearningPyTorchLLMsRAGAgentic AIHL7/FHIREHR/EMRResearch

About the role

You will turn messy health data into accurate, cited, and actionable guidance for patients and clinicians.
The work blends applied research with product engineering: dataset curation, model training and evaluation, retrieval and tool use, safety and alignment, and putting breakthroughs into production.
You will work side by side with clinicians and the founding team and your work will reach patients quickly.

Develop abstention, routing, and fallback strategies that favor safety and correctness
Design synthetic data and clinician-in-the-loop labeling pipelines that reflect real clinical use
Build automated red teaming and regression suites tied to clinical guidelines and source citations
Optimize inference with batching, quantization, LoRA or QLoRA, and vLLM or TensorRT where appropriate
Collaborate with data and product engineers on retrieval, storage schemas, and lineage so every claim is explainable

Strong Python and deep experience with PyTorch or JAX
Track record shipping applied ML or LLM features to real users, not just prototypes
Hands-on experience with RAG, prompt and tool design, evaluation harnesses, and error analysis
Product sense, pragmatism, and the ability to reduce complex systems into simple, reliable components
Willingness to work on-site in San Francisco

Experience with clinical ontologies and standards such as SNOMED CT, ICD, LOINC, RxNorm, FHIR, and NCPDP
Background in RLHF or RLAIF, distillation, program-of-thought, and structured tool use
Contributions to open source, published work, or well known eval frameworks
Deep familiarity with observability stacks such as Sentry and Langfuse and containerized deployments such as Docker or ECS
Solid SQL plus comfort with vector stores and retrieval patterns

Our team includes ex-founders and engineers who have built and scaled consumer apps to millions of users, generating over $100M in annual revenue.

Build and iterate on agentic workflows that use retrieval, function calling, and planning to answer health questions with citations and uncertainty awareness
Fine tune and distill models for summarization, extraction, classification, and dialogue grounded in medical data
Own the eval stack for medical correctness, hallucination, bias, safety, latency, and cost

Lotus Health https://lotushealth.ai/ is a groundbreaking primary care app that integrates your medical records, AI, and real doctors to provide free, personalized healthcare and prescriptions.
Our team includes ex-founders and engineers who have built and scaled consumer apps to millions of users, generating over $100M in annual revenue.
Lotus is backed by Kleiner Perkins, and clinicians at Harvard and Stanford.
We are hiring a Founding Research Engineer to design, prototype, and ship the core reasoning and agentic systems that power Lotus.
Role Overview

This listing is sourced directly from Lotus Health AI's careers page and normalized into a canonical job model.