{"id":747903,"url":"https://alion.io/job/lucis-ai-engineer","title":"AI engineer","company":{"id":678951,"name":"Lucis","domain":"lucis.life","url":"https://alion.io/company/lucis","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":70,"open_postings":10,"ghost_share":0.5,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France","Barcelona, Spain","London, United Kingdom"],"countries":["FR","ES","GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":138000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":18},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"PubMed","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Tool Use","optional":false},{"name":"AWS","optional":true},{"name":"Claude Code","optional":true},{"name":"Cursor","optional":true},{"name":"GitHub Actions","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-04-08T13:53:29Z","employer_posted_date":"2026-04-08","last_verified_at":"2026-09-28T19:48:08Z","board_verified":true,"closed_at":null,"days_open":173,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":172},"description":"Making preventive health the default for every human in Europe\nThe mission\nAt 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.\n The role\nWe'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.\nAs 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.\nThis 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.\nYou could be responsible for\nAI agent architecture - design and ship the multi-agent system behind our AI doctor: reasoning, planning, tool use, clinical citation, and safe fallback behavior\n\nRetrieval & 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\n\nData pipelines - ingestion and normalization from labs (Eurofins, Randox), wearables, and third-party partners. Clean data in, reliable inference out\n\nProduction reliability - LLM endpoints that reason correctly at scale, with observability, evals, and failure modes you've thought through before they happen\n\nMedical 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\n\nAbout you\nYou’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.\nYou thrive in fast-moving environments, learn by doing, and value feedback as a way to continuously improve.\nYou’ll fit in well if\nYou have 8+ years' experience building and shipping software and ML systems in production\n\nYou've shipped AI agents in production recently - not as a side project, as the core product\n\nYou think in systems: prompts, retrieval, tool orchestration, evals, and failure modes are all part of the same design problem\n\nYou're hands-on with vector databases, retrieval pipelines, and LLM endpoints - Python-native, comfortable in LangChain or equivalent\n\nYou write evals before you ship, because you know that vibes-based QA doesn't work for clinical reasoning\n\nYou've worked with messy real-world data (health, finance, legal) and built pipelines that handle it without breaking silently\n\nYou're genuinely obsessed with health - you track your own biomarkers, read PubMed, or are just deeply frustrated that healthcare is still reactive\n\nWe might not be a fit if\nYou need a clearly defined role with stable responsibilities.\n\nYou prefer strategic advisory work over hands-on execution.\n\nYou've only worked in large, well-established companies.\n\nYou need perfect information before making decisions.\n\nYou prioritise predictable 9-5 work over mission intensity.\n\nYou're uncomfortable with frequent context-switching and urgent pivots.\n\nOur current stack\nPython repo and TS monorepo (platform) · PostgreSQL + Prisma · AWS (Terraform) · GitHub Actions · Claude Code + Cursor · AI/agent framework: mostly Langchain ecosystem\nThe process\nIntro call (20 min): culture & role fit.\n\nTechnical interview (30 min)\n\nAt-home case study: hands-on project, delivery in 2 days.\n\nDeep dive (90 min) and team chat (on-site)\n\nReference calls\n\nHow we work\nWe 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.\nRigor without ego: Audits, science, and code all deserve the same high bar.\n\nRadical ownership: Feedback loops are short; everyone contributes to building the best version of Lucis.\n\nVelocity over perfection: We ship daily and prefer a good decision today over a perfect one next week.\n\nAt 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.","description_format":"text","description_chars":4802,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"},{"name":"United Kingdom","iso":"GB","kind":"country"},{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Health Care","Precision Medicine","Consumer Health Apps"],"lifecycle":[{"event":"open","at":"2026-09-11T14:44:24Z"}],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.22,"p_room":0.28,"age_days":172,"expected_fill_days":42,"reasons":["conf:0","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/lucis-ai-engineer","json_url":"https://alion.io/job/lucis-ai-engineer.json","meta":{"generated_at":"2026-09-29T01:21:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":905,"day_limit":5000,"remaining_today":4095,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}