Lotus Health AI

Member of Technical Staff

San Francisco · Staff+

Sponsorship not specifiedDetected 153 days ago

PythonFastAPIPostgreSQLAWSDockerTemporalMachine LearningPyTorchData EngineeringLLMsRAGAgentic AIAccessibilityAuditingPatient Care

About the role

Our team includes ex-founders and engineers who have built and scaled consumer apps to millions of users with prior successful exits.
Lotus is backed by Kleiner Perkins, CRV, clinicians at Harvard and Stanford among others.
WHAT THIS ROLE IS NOT - Not a big-company role with tight scope and clear lanes. - Not a place with a formal hierarchy or long onboarding ramp. - Not a "ticket queue" job.

Build and iterate on AI agent workflows that handle multi-step clinical reasoning, tool use, and structured decision-making.
Design guardrails, fallback logic, and escalation paths to ensure safe autonomous behavior in patient-facing products.
Rebuild data pipelines to eliminate stale data, support clinician and patient corrections, and ensure full traceability.
Build and maintain data curation pipelines that produce high-quality training and evaluation datasets from clinical interactions.
Build and optimize real-time voice pipelines for patient-facing interactions, including speech-to-text, natural language understanding, and text-to-speech.
Design interruption handling, turn-taking logic, and conversational state management for natural, fluid voice experiences.
Build monitoring and analytics for background jobs to monitor failure rates and identify partner vs. internal issues.
Design and run training pipelines including data curation, annotation workflows, hyperparameter tuning, and model evaluation.
Develop and maintain evaluation frameworks (automated and human-in-the-loop) to measure model quality, safety, and regression across releases.
You'll help build and operate the AI + data systems behind AI-driven primary care.

Experience with system refactors, schema migrations, and data infrastructure simplification
Familiarity with PostgreSQL (including JSONB and vector types) and AWS
Hands-on experience with LLM APIs, prompt engineering, and shipping AI-powered product features
Familiarity with training infrastructure and frameworks (PyTorch, Hugging Face, vLLM, Axolotl, or similar)
Experience with RLHF, DPO, or other alignment and preference-tuning techniques
Familiarity with FastAPI, SQLAlchemy, DuckDB, Temporal, ClickHouse, Valkey, or similar systems
Knowledge of logging/monitoring stacks (Sentry, Langfuse) and containerized deployments (Docker, ECS)
Experience simplifying multi-layered data systems where architectural issues cascade through storage, logging, and application layers
Strong programming skills, preferably Python
Experience building production systems that power AI or ML workflows
Comfort working across the stack, from schema design to production debugging
Experience building or improving AI agent systems with tool use and multi-step reasoning
Experience building retrieval systems for LLMs (RAG pipelines, vector search, grounding)
Experience with real-time voice AI systems, speech models, computer vision, medical imaging, or multimodal models that combine text, audio, and visual inputs

Improve knowledge bases so that citations resolve to original data and searches are fast, relevant, and prioritize tier-one medical information.
Design models that sync cleanly with health data partners and credentialing authorities.
Develop low-latency, streaming voice agents that can conduct clinical intake, triage, and follow-up conversations with empathy and medical accuracy.
Fine-tune voice and video models for medical terminology, diverse accents, and accessibility needs.
Experiment with prompt engineering, RLHF, distillation, and other techniques to optimize model behavior for healthcare-specific use cases.

Lotus AI 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.
This is a generalist role. You may work across model training and fine-tuning, model tooling, data pipelines, retrieval/evals, and product workflows.
You'll be close to the core system and involved in product decisions from day 1.
You'll design and scale the data and retrieval systems that power Lotus's clinical AI, improving correctness, traceability, and explainability in how medical information is surfaced, validated, and applied in real-world care.
Not a big-company role with tight scope and clear lanes.
Not a place with a formal hierarchy or long onboarding ramp.
Not a "ticket queue" job. Priorities will change week to week based on user needs, clinician feedback, safety issues, and what's breaking.
MEMBER OF TECHNICAL STAFF @ LOTUS AI

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