Member of Technical Staff

Member of Technical Staff @ Lotus AIWho we are

Lotus 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 with prior successful exits. Lotus is backed by Kleiner Perkins, CRV, clinicians at Harvard and Stanford among others.

• You’ll help build and operate the AI + data systems behind AI-driven primary care.
• 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.
• You’ll help shape our real-time voice and video AI capabilities, building the foundation for intelligent, multimodal patient interactions.

• 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.

• AI Agents and Product Intelligence
• AI Knowledge Base and Search Improvements
• AI Data Ingestion and Integrity
• Voice and Video AI
• Observability and Analytics
• Model Training and Fine-Tuning

• Strong programming skills, preferably Python
• Experience with system refactors, schema migrations, and data infrastructure simplification
• Familiarity with PostgreSQL (including JSONB and vector types) and AWS
• Experience building production systems that power AI or ML workflows
• Hands‑on experience with LLM APIs, prompt engineering, and shipping AI-powered product features
• Comfort working across the stack, from schema design to production debugging

• Familiarity with training infrastructure and frameworks (PyTorch, Hugging Face, vLLM, Axolotl, or similar)
• Experience with RLHF, DPO, or other alignment and preference‑tuning techniques
• 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)
• Familiarity with FastAPI, SQL Alchemy, DuckDB, Temporal, Click House, Valkey, or similar systems
• Experience with real‑time voice AI systems, speech models, computer vision, medical imaging, or multimodal models that combine text, audio, and visual inputs
• 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 intuition for designing systems that balance correctness, observability, and performance

We are redefining how healthcare data is understood and acted upon. You’ll work with a world‑class group of engineers, clinicians, and AI researchers to build something with lasting impact to improve healthcare.

As an AI Engineer on a small, exceptional team you’ll have the autonomy to build the systems that make our clinical AI safe, fast, and explainable. Your work will directly influence patient care at scale.

30 days

• Shipping reliably, understands the core system, owns a small surface area

60 days

• Owning a meaningful system and improves a key metric (quality, latency, clinician wait time, data reliability, etc.)

90 days

• Independently driving a roadmap slice and raises the team’s bar (agents/evals/monitoring)