[English] Senior AI Engineer - Patient Health Platform (x/f/m)

EngineersOfAI; Paris; Hybrid; EUR 70,000 - 90,000; Full time

Job summary

Join EngineersOfAI in Paris as a Senior AI Engineer, focusing on building AI-powered health solutions within the Patient Health Platform. You'll design and optimize the production search and recommendation architecture, ensuring high-quality AI features that improve patient health journeys.

The ideal candidate has significant experience deploying algorithms reliably, strong analytical skills, and a solid background in search or recommendation systems. Apply now to be part of our mission to enhance patient care.

Qualifications

• Ability to ship algorithms to production (ECS-based service on AWS).
• Result-oriented, patient-first approach.
• Significant experience shipping search or recommendation systems.
• Hands-on experience with retrieval and ranking pipelines.
• Ability to turn foundation models into production systems.
• Build systems with standard tooling before custom ML.
• Evaluation and observability in every stage.
• Production deployment with care for data quality.

Responsibilities

• Design and build the production search & recommendation architecture.
• Establish strong baselines before custom ML.
• Build evaluation and observability into every stage.
• Set up data/event feedback loops.
• Improve search relevance and ranking.
• Own production quality: reliability and monitoring.
• Collaborate to build and ship AI-powered features.

Skills

Production deployment

Strong analytical mindset

Experience as Software/AI engineer

Building end-to-end retrieval

AI-engineering proficiency

Architecture-first approach

Evaluation & observability

Low-latency production deployment

Job description

Join our mission, join Doctolib!

We are looking for a Senior AI Engineer to join the Patient Health Platform team in Paris.

The Patient domain is at the heart of Doctolib's mission to help everyone be in better health. Our teams build the Health Companion that millions of people rely on every day - a seamless, AI-powered experience that empowers patients to take an active role in their own health journey.

Within the Patient domain, two streams drive this vision forward:

• Find Your Practitioner (FYP) focuses on making access to care faster, easier, and smarter. From our practitioner directory and online booking to intelligent care search assistance, FYP ensures that every patient can find the right professional at the right time.
• Preventive & Continuous Care Companion (P3C) goes beyond the consultation room. This stream builds the tools that help people prevent health issues before they arise, stay connected with their care team between appointments, and manage their health over time - through personalised health tracking, prevention campaigns, care plans, and AI-powered health guidance.

Together, these two streams shape a product that is not just a booking tool, but a true companion for health - recommended by practitioners and trusted by patients.

Your responsibilities include but are not limited to:

• Design and build the production search & recommendation architecture: full retrieval, ranking, reranking pipeline with standard and off-the-shelf components (vector search, semantic retrieval, LLM/managed rerankers).
• Establish strong baselines first (prompts, RAG, model selection) before reaching for custom ML.
• Build evaluation and observability into every stage, with offline and online evaluation.
• Set up the data/event feedback loops that drive iteration and feed deeper ML later.
• Improve search relevance and ranking on Patient facing products, raising result quality.
• Own production quality: latency reliability, monitoring, and maintainability.
• Partner with ML Engineers and collaborate closely with PMs and SWEs to define, build, and ship AI-powered features that deliver measurable value to users and the business.

Who you are

Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

You could be our next team mate if you have:

1. Production deployment: ability to ship algorithms to production (ECS-based service on AWS)
2. Strong analytical mindset: result-oriented, patient-first approach
3. Significant experience as a Software or/and AI engineer shipping search or recommendation systems to production.
4. Hands-on experience building end-to-end retrieval: ranking, reranking pipelines and familiar with nDCG, MAP, Recall@k, MRR
5. AI-engineering proficiency: turning foundation models and off-the-shelf components into production systems: embeddings & vector search, semantic retrieval, RAG, LLM-based or managed rerankers (e.g. Vertex AI). You can succeed without training a model from scratch
6. Architecture-first approach: you build the system, baselines, evals, and feedback loops with standard tooling before reaching for custom ML, and know when to partner with ML Engineers to break a ceiling
7. Evaluation & observability built into every stage (retrieval, ranker, reranker) — offline and online eval, A/B testing, position-bias handling, monitoring
8. Production deployment — ability to ship reliable, low-latency services to production (hundreds-of-ms SLAs), with care for data quality and long-term maintainability

Now, it would be fantastic if you:

• Experience at a B2C marketplace (e-commerce, hospitality, travel)