or apply directly on Doctolib's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 82 days Doctolib's roles stay open a median of 82 days
- Reposted
- No
- Salary listed
- No 0% of Doctolib's roles list one
- Ghost-job risk at Doctolib
- high 131 stale, 15 reposted of 133 open
- Hiring momentum
- 226 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-24
Measured from postings appearing on and disappearing from Doctolib's own greenhouse board since 2026-08-03. Full hiring picture for Doctolib.
About this role
As a Senior AI Engineer on the Patient team at Doctolib, you will design and build the search and recommendation architecture for their health companion, impacting millions of patients. Your role involves developing retrieval and ranking pipelines, establishing evaluation methods, and ensuring production quality while collaborating with other engineers and product managers to deliver AI-powered features.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Doctolib as an employer.
What you need
- Production deployment: ability to ship algorithms to production (ECS-based service on AWS)
- Strong analytical mindset: result-oriented, patient-first approach
- Significant experience as a Software or/and AI engineer shipping search or recommendation systems to production
- Hands-on experience building end-to-end retrieval: ranking, reranking pipelines and familiar with nDCG, MAP, Recall@k, MRR
- 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
- Architecture-first approach: ability to build systems, baselines, evals, and feedback loops with standard tooling before custom ML
Nice to have
- Experience at a B2C marketplace (e-commerce, hospitality, travel)
- Additional ML methodologies: pattern mining, recommendation systems, experimentation, or causal inference
- Experience with search engines or information retrieval concepts
- Exposure to learning-to-rank or feature engineering
- Experience in a healthcare or other regulated domain (GDPR / HDS)
What you get
- Free comprehensive health insurance (basic package) for you and your children
- 25 days of paid vacation per year, plus up to 14 days of RTT
- Free mental health and coaching services through our partner Moka.care
- Work from abroad for up to 10 days per year thanks to our flexibility days policy
- Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
- A subsidy from the work council to refund part of the membership to a sport club or a creative class
Worth weighing
- No salary listed
- Specific technologies and methodologies mentioned may indicate a focus on established practices rather than cutting-edge innovations
- The role involves significant collaboration, which may require strong interpersonal skills
Summarised from Doctolib's posting. Read the full original.
Listed by Doctolib on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.
More roles at Doctolib
- Senior Software Engineer Fullstack Kotlin / React (x/f/m)Paris, Paris, France
- Commercial.e Annecy (x/f/m)Annecy
- Team Lead Technical Support (x/f/m)Berlin, Berlin, Germany
- Principal Machine Learning Engineer - Applied AI & LLMs (x/f/m)Paris, Paris, France
- Vertriebsmitarbeiter im Außendienst (x/f/m) - BielefeldHannover
- Senior Account Executive (x/f/m) - GöttingenHannover
- Head of Design System (x/f/m)Berlin, Berlin, Germany; Paris, Paris, France
- Senior AI Engineer (x/f/m) - Phone AssistantBerlin, Berlin, Germany