AI engineer
At a glance
Mid-level AI Engineering role at Lucis. Paris · full-time · no salary stated · we estimate €47,375–€61,000 across France.
Lucis has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and ship the multi-agent reasoning system, including planning, tool use, clinical citations and safe fallback behavior
- Create retrieval pipelines and vector infrastructure for clinical literature and users’ health data
- Ingest and standardize lab, wearable and partner data so it supports dependable AI outputs
- Keep LLM services reliable in production with monitoring, evaluations and planned responses to failures
- Turn medical advisors’ requirements into agent workflows, working closely with the clinical team
What you bring
- At least eight years building and deploying software and machine-learning systems in production
- Recent experience shipping AI agents as a core production product, rather than as a side project
- Hands-on ability with Python, vector databases, retrieval pipelines and LLM endpoints, using LangChain or a comparable framework
- Experience building resilient pipelines for messy real-world data, such as health, finance or legal data
Who this fits
This is a hands-on build role for someone comfortable owning systems from agent design through production reliability and clinical collaboration. The work is based around the Paris hub, with regular in-person collaboration; relocation support is available.
From the employer
Making preventive health the default for every human in Europe
The mission
At Lucis, we believe healthcare should be preventive, not reactive. We’re building the OS for human longevity to help people add more healthy years to their lives. You can read more about who we are and how we work here.
The role
We're building AI agents that act as a doctor for preventive health — analyzing 110+ biomarkers, reasoning over clinical data, and delivering protocols that change how people age. The system works. 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 actually behave like they understand it.
This isn't a research role. It's a build role. The gap between a great LLM demo and a trustworthy AI doctor is enormous — your job is to close it.
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 behavior
Retrieval & knowledge — vector infrastructure, embedding pipelines, RAG architecture over clinical literature and user health data. You know the difference between retrieval that works and retrieval that a clinician would trust
Data pipelines — ingestion and normalization from labs (Eurofins, Randox), wearables, and third-party partners. Clean data in, reliable inference out
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. You don't need to be a doctor, but you need to earn their trust
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, 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
Python repo and TS monorepo (platform) · PostgreSQL + Prisma · AWS (Terraform) · GitHub Actions · Claude Code + Cursor · AI/agent framework: mostly Langchain ecosystem
The process
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.