Senior AI Systems Engineer – Healthcare Data & Voice

Lotus Health AI, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Lotus Health AI, Inc. is seeking an AI Engineer to help build and operate AI + data systems behind AI-driven primary care. You will work across model training, tooling, data pipelines, retrieval/evals, and product workflows, contributing from day one to product decisions and system design.

You’ll design data and retrieval systems powering clinical AI, improve correctness and explainability, and help shape real-time voice and video AI capabilities for empathetic patient interactions.

Qualifications

• Strong programming skills, preferably Python.
• Experience with data infrastructure, migrations, and simplifying complex systems.
• Familiarity with PostgreSQL (including JSONB) and AWS.
• Experience building production AI/ML workflows and tools.
• Hands-on with LLM APIs, prompt engineering, and shipping AI-powered features.

Responsibilities

• Design and iterate AI agent workflows enabling multi-step clinical reasoning and tool use.
• Build guardrails, fallback logic, and escalation paths for safe patient-facing AI.
• Prototype and ship end-to-end AI-powered features from model choice to UX.
• Improve knowledge bases and retrieval for fast, accurate clinical data citations.
• Rebuild data pipelines for data integrity, traceability, and real-time syncing.
• Develop real-time voice pipelines for patient interactions and multimodal AI models.
• Implement observability, monitoring, and analytics for AI systems in production.
• Fine-tune foundation models on clinical data to improve safety and tone.

Skills

Python

LLM APIs

Prompt engineering

Production debugging

Retrieval systems

PostgreSQL

AWS

Docker

FastAPI

Tools

SQLAlchemy

DuckDB

TensorFlow/PyTorch

Kubernetes

Job description

Lotus Health AI, Inc. is seeking an AI Engineer to help build and operate AI + data systems behind AI-driven primary care. You will work across model training, tooling, data pipelines, retrieval/evals, and product workflows, contributing from day one to product decisions and system design.

You’ll design data and retrieval systems powering clinical AI, improve correctness and explainability, and help shape real-time voice and video AI capabilities for empathetic patient interactions.