At a Glance
- Tasks: Build AI agents for preventive health, transforming clinical data into actionable insights.
- Company: Lucis, a pioneering company focused on preventive healthcare and human longevity.
- Benefits: Competitive salary, relocation support, and a collaborative work environment in Paris.
- Other info: Fast-paced environment with opportunities for rapid learning and growth.
- Why this job: Join us to revolutionise healthcare and make a real impact on people's lives.
- Qualifications: 8+ years in software and ML systems, with hands-on experience in AI production.
The predicted salary is between 80000 - 100000 £ per year.
Making preventive health the default for every human in Europe.
The mission at Lucis is to build the OS for human longevity to help people add more healthy years to their lives. We are building AI agents that act as a doctor for preventive health — analysing 110+ biomarkers, reasoning over clinical data, and delivering protocols that change how people age. The system works, and now we need to make it smarter, faster, and ready for millions of users.
As our AI Engineer, you own the reasoning engine: the agents, the retrieval pipelines, the clinical workflows, and the infrastructure that makes it all reliable in production. You work directly with our medical team to translate clinical knowledge into systems that behave like they understand it. This isn't a research role; it's a build role. Your job is to close the gap between a great LLM demo and a trustworthy AI doctor.
You could be responsible for:
- AI agent architecture: design and ship the multi-agent system behind our AI doctor: reasoning, planning, tool use, clinical citation, and safe fallback behaviour.
- Retrieval & knowledge: vector infrastructure, embedding pipelines, RAG architecture over clinical literature and user health data.
- Data pipelines: ingestion and normalisation from labs (Eurofins, Randox), wearables, and third-party partners.
- Production reliability: LLM endpoints that reason correctly at scale, with observability, evals, and failure modes you've thought through before they happen.
- Medical collaboration: translate complex clinical requirements into agent workflows, working side by side with our medical advisors.
About you:
You’re passionate about the future of human health and want your work to help people stay healthy for longer. You move quickly from idea to execution, take full ownership of what you build, and work best with talented people who care as much as you do. You thrive in fast-moving environments, learn by doing, and value feedback as a way to continuously improve.
You’ll fit in well if:
- You have 8+ years' experience building and shipping software and ML systems in production.
- You’ve shipped AI agents in production recently — not as a side project, but as the core product.
- You think in systems: prompts, retrieval, tool orchestration, evals, and failure modes are all part of the same design problem.
- You’re hands-on with vector databases, retrieval pipelines, and LLM endpoints — Python-native, comfortable in LangChain or equivalent.
- You write evals before you ship, because you know that vibes-based QA doesn't work for clinical reasoning.
- You’ve worked with messy real-world data (health, finance, legal) and built pipelines that handle it without breaking silently.
- You’re genuinely obsessed with health — you track your own biomarkers, read PubMed, or are just deeply frustrated that healthcare is still reactive.
We might not be a fit if:
- You need a clearly defined role with stable responsibilities.
- You prefer strategic advisory work over hands-on execution.
- You’ve only worked in large, well-established companies.
- You need perfect information before making decisions.
- You prioritise predictable 9–5 work over mission intensity.
- You’re uncomfortable with frequent context-switching and urgent pivots.
Our current stack includes:
- Python repo and TS monorepo (platform)
- PostgreSQL + Prisma
- AWS (Terraform)
- GitHub Actions
- Claude Code + Cursor
- AI/agent framework: mostly Langchain ecosystem
The process includes:
- Intro call (20 min): culture & role fit.
- Technical interview (30 min).
- At-home case study: hands-on project, delivery in 2 days.
- Deep dive (90 min) and team chat (on-site).
- Reference calls.
How we work:
We work together from our Paris hub. We’re passionate about what we’re building and believe the fastest way to create something exceptional is side by side. We’re open to relocation support for the right individuals, and we welcome missionaries who travel to work with us in Paris on a regular basis.
Rigor without ego: Audits, science, and code all deserve the same high bar. Radical ownership: Feedback loops are short; everyone contributes to building the best version of Lucis. Velocity over perfection: We ship daily and prefer a good decision today over a perfect one next week.
At Lucis, AI isn't just our product, it's our engine. 100% of our teams are equipped with the best AI agents. You have carte blanche to explore and automate everything that can be, so you can focus exclusively on high-value work.
AI engineer employer: LUCIS
At Lucis, we are dedicated to transforming healthcare into a preventive model, and as a Brand & Content Manager based in our vibrant Paris hub, you will play a pivotal role in shaping our voice and content strategy. We foster a collaborative work culture that values radical ownership and encourages innovation, providing ample opportunities for professional growth and the chance to work alongside passionate individuals committed to making a meaningful impact in health education. With access to cutting-edge AI tools and a supportive environment, Lucis is an exceptional employer for those looking to contribute to a forward-thinking mission in the heart of Europe.