Senior Manager, Data & AI Engineer leading data & AI engineering capabilities for AI Transformation programs across projects in China. Collaborating with global teams to enhance data governance and product delivery.
About the role
- AI Engineer at Lucis building AI agents for preventive health. Collaborate with medical teams and develop reliable systems for analyzing health data.
Responsibilities
- Own the reasoning engine: the agents, the retrieval pipelines, the clinical workflows, and the infrastructure that makes it all reliable in production
- Work directly with our medical team to translate clinical knowledge into systems that behave like they understand it
- Design and ship the multi-agent system behind our AI doctor
- Build retrieval infrastructure, embedding pipelines, and RAG architecture over clinical literature and user health data
- Ensure production reliability for LLM endpoints
- Translate complex clinical requirements into agent workflows, earning trust from medical advisors.
Requirements
- 8+ years' experience building and shipping software and ML systems in production
- Shipped AI agents in production recently — not as a side project, as the core product
- Hands-on with vector databases, retrieval pipelines, and LLM endpoints — Python-native, comfortable in LangChain or equivalent
- Write evals before you ship, because vibes-based QA doesn't work for clinical reasoning
- Worked with messy real-world data (health, finance, legal) and built pipelines that handle it without breaking silently
- Genuinely obsessed with health — track your own biomarkers, read PubMed, or deeply frustrated that healthcare is still reactive.
Benefits
- 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.
Job title
Job type
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Not specified
Degree requirement
No Education Requirement
Tech skills
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