Founding AI engineer

The role

We’re looking for an AI & data engineer, engineer at heart, with entrepreneurial DNA and early stage 0→1 experience. It’s a plus if you are passionate about digital health and longevity.

You’ll shape our functional AI agents that could add healthy years to millions of lives:

• Own our AI agents doctor built on top of large language model, our vectorized infrastructure and thousand of users data.
• Collaborate with our medical team to translate complex clinical requirements into agents, and workflows. Deliver them the tools they need to
• Work with our third-party data providers and partners (labs, wearables, etc) to integrate the data and manage.
• Solve real-world health data, privacy, and UX puzzles at European scale.

Our company

We are building fast, for the long term.

1. Rigor without ego: audits, science, and code deserve the same high bar.
2. Default to action: small PRs, short feedback loops.
3. Radical ownership: you break it, you fix it (and write the doc).
4. Play long games: we’re building a 100-year company to help people live 100 healthy years.

What we offer

• Equity that matters: real ownership at the inflection point. With top-tier salaries.
• Budget for personal care, personal development, and health stipends (we pay your own Lucis tests).
• Quarterly in-person retreats in Europe. We repeat the YC experience every 3 months.
• Hardware of your choice, modern dev-tool stack.
• The chance to directly improve thousands of lives, starting with your own, through smarter preventive care. We are the average of the person we spend our time with.

What you will do

Core responsibilities

• Build the new version of our Doctor AI: an LLM-powered reasoning engine that drafts safe, evidence-based protocols a physician can sign off in minutes. You’ll be the technical owner who turns that vision into production reality.
• Work with our medical team to translate complex medical requirements into actionable insights for our users. Pair with our physicians to encode deterministic logic & decision trees.
• Architect the knowledge graph (PubMed, Examine, internal studies) and vector search layer (PGVector / Pinecone).
• Design chain-of-thought prompts that reason & cite. Productionize LLM endpoints on GCP (Vertex AI, Cloud Run, GPUs).
• Maintain strict compliance with HDS and GDPR regulations through robust security measures.
• Drive engineering rituals. Drive continuous improvement through Agile development practices and cross-team collaboration.

You’ll thrive here if you

• Have 5 + yrs building and shipping ML or LLM systems in production.
• Fluency with Python, LangChain/LlamaIndex or equivalent.
• Hands-on with vector databases, retrieval pipelines, and embeddings.
• Solid grasp of data privacy & medical compliance (GDPR, ISO 13485, HIPAA, or MDR).
• Entrepreneurial, low-ego mindset. You want to build a massive company with massive impact.
• Cautious about your health, actively doing sport. Care about health: you read PubMed abstracts for fun, or track your own biomarkers and metrics.
• Fluent in English. French is a bonus.
• You have led a team before. You remain hands-on more than 80% of your time in your current job.