Senior AI Engineer - Health Search & Recommendations

Doctolib; Levallois-Perret; Sur place; EUR 120 000 - 170 000; Plein temps

Avantages offerts par ce poste

Free comprehensive health insurance

Lunch vouchers

Transit subsidy

Résumé du poste

Doctolib is hiring a Senior AI Engineer for the Patient team in Paris. You will design and own the production search and recommendation stack, from retrieval to ranking, with emphasis on latency, quality, and trust.

You will collaborate with ML engineers, PMs, and SWE to ship AI-powered features that deliver measurable value. The role emphasizes building baselines, evaluating models, and establishing data feedback loops, with a focus on healthcare data, GDPR, and long-term maintainability.

Qualifications

• Experience deploying algorithms to production environments.
• Strong analytical, result-oriented mindset with a patient-first approach.
• Proven track record shipping search or recommendation systems to production.
• Hands-on experience building end-to-end retrieval pipelines and familiarity with nDCG/MAP/Recall@k/MRR.

Responsabilités

• Design and build production search and recommendation architecture (retrieval, ranking, reranking).
• Establish baselines with prompts, RAG, and model selection.
• Incorporate evaluation and observability across offline and online stages.
• Set up data/event feedback loops to drive iteration and later ML adoption.
• Improve search relevance and ranking for patient-facing products.
• Own production quality: latency, reliability, monitoring.

Connaissances

Production deployment

Analytical mindset

Software/AI engineering

End-to-end retrieval

Vector search

Outils

AWS ECS

Vector search engines

LLM integration

Description du poste

Doctolib is hiring a Senior AI Engineer for the Patient team in Paris. You will design and own the production search and recommendation stack, from retrieval to ranking, with emphasis on latency, quality, and trust.

You will collaborate with ML engineers, PMs, and SWE to ship AI-powered features that deliver measurable value. The role emphasizes building baselines, evaluating models, and establishing data feedback loops, with a focus on healthcare data, GDPR, and long-term maintainability.