# Member of Technical Staff at Function Health

- Company: Function Health
- What the company does: It’s time you own your health. Function includes 160+ lab tests and personalized protocols for instant action. Tracked over time in one secure place. Backed by Battery, General Catalyst and a16z.
- Company website: https://www.functionhealth.com/?utm_source=google&utm_medium=Google&utm_campaign=20800990020&utm_content={adid}&utm_term=function%20health&gad_source=1&gad_campaignid=20800990020&gbraid=0AAAAAqiw_KFExiKCoQ9G5NEKwcrrjePXb&gclid=Cj0KCQiAi9rJBhCYARIsALyPDttmpuDOephC5Um1LdEhfu26AqPmxZ67mRocG5lC6iFX7x2YcWSfeKMaArUgEALw_wcB
- Type: Startups
- Level: Senior
- Location: United States - Remote
- Work setup: Remote
- Posted: 2026-06-10
- Apply by: 2026-10-08
- Apply: https://jobs.gem.com/function-health/am9icG9zdDpObAAp9yvLucHijYMqL_9R
- Page: https://www.1752.vc/careers/jobs/function-health-member-of-technical-staff/

## About the role

Function Health is the AI operating system for health, designed to empower people to live 100 healthy years. We are redefining how individuals understand, measure, and improve their health by moving beyond the limitations of traditional care and enabling comprehensive, continuous insight into human biology. Function has been recognized as one of Fast Company’s Most Innovative Companies of 2024 , and is venture-backed by Redpoint and other leading venture firms.

## What they're looking for

- 1+ years building agentic AI systems, 6+ years as a full-stack or ML engineer , building production backends or ML systems in Python, Go, or similar
- Fluency with agentic orchestration ( e.g., LangGraph, PydanticAI, DSPy, LlamaIndex ) and tool/function calling
- Experience integrating frontier LLMs and multimodal models via managed APIs or self-hosted serving
- Strong with API design and backend frameworks (FastAPI, Flask) and event-driven architectures
- Data systems expertise with PostgreSQL, including token streaming and throughput tuning
- Retrieval and memory: vector databases (pgvector, Pinecone, Weaviate, Milvus), hybrid search, and graph/knowledge storage