Jobs at Doctolib

Design, build, and operate scalable real-time backend services for an AI-powered phone assistant. Develop LLM features including prompting, tool calling, structured outputs, evaluations, guardrails, and fallback strategies. Deploy cloud-native services on Kubernetes, optimize PostgreSQL workloads, maintain CI/CD pipelines, and ensure strong testing, observability, reliability, and security. Collaborate on speech, telephony, and event-driven systems while owning features from design through production.

The job description provides limited details. The Account Executive role is based in Pau, France, and involves preparing or adapting job-advert content using company templates, Confluence, Dust Agents, and TA_JobAd guidelines.

Develop and deploy secure, performant, well-tested features for a cloud SaaS healthcare solution using Java, Kotlin, .NET, and C#. Collaborate with product, infrastructure, security, tooling, and other technology teams to evolve the product, integrate it into the broader ecosystem, and improve engineering standards, tools, and processes within an agile feature team.

Build and maintain secure, performant, well-tested healthcare SaaS products using Java, Kotlin, .NET, and C#. Implement new features, improve engineering standards and tooling, collaborate with product and technology teams, and contribute to the technical roadmap in an agile feature team.

Build and operate AI agents for Operations and Customer Success workflows, redesigning processes for autonomy and quality. Own agent context, CRM and data integrations, evaluation, prompt optimization, quality assurance, and impact measurement. Translate business needs into technical solutions, collaborate with Leadership, IT, and Product, and enable teams to use AI effectively. The role requires production-oriented technical skills, data fluency, strong communication, and experience with automation tools, Salesforce, and agent platforms.

Maintain and improve Doctolib’s cloud-native Data and AI Platform, including the Data Product Controller and Dagster orchestrator. Enable autonomous data product deployment through CI/CD and infrastructure as code, while monitoring reliability, performance, costs, data quality, lineage, and observability. Collaborate with data engineers, data scientists, and product stakeholders to resolve infrastructure issues and improve platform scalability, architecture, and developer experience.

The Senior Software Engineer will design and maintain a Web and Mobile Design System using React and React Native, drive convergence between platforms, ensure accessibility, mentor team members, and improve developer experience through tooling and automation.

The Staff DataOps Engineer will design and implement data infrastructure strategies, optimize data pipelines, and provide technical guidance across teams to enhance data-driven initiatives.

Design, implement, and scale evaluation frameworks and automated pipelines to monitor safety, reliability, and alignment of agentic LLM systems. Define metrics, run experiments assessing reasoning, factuality and robustness, collaborate with model developers and clinicians, and drive iterative improvement and internal knowledge sharing.

Ensure platform reliability, scalability, and observability at European scale. Build and maintain infrastructure-as-code, define SLOs/error budgets, lead cross-cutting reliability initiatives, improve incident detection/response, participate in on-call rotation, and partner with product and engineering teams to embed reliability practices.

Join Doctolib's Clinical DOPE team to design and implement fullstack features for prescription lifecycle, collaborate with product and design, ensure performance, security, and testability, integrate external drug databases, and improve medication alerting across France and Germany.

Lead platform reliability initiatives at scale: build and maintain IaC and automation, design reliability and observability components, define SLOs/SLIs and alerting, drive incident response and on-call improvements, and partner with product and engineering teams to embed reliability practices across 170+ applications.

The Engineering Manager will lead the Reliability & Observability team, drive observability strategy, manage crucial services, and ensure operational excellence in Doctolib's platform engineering.

The Senior Machine Learning Engineer will design and implement AI and ML solutions, build retrieval pipelines, and develop language models to enhance patient care access and management.

Design, build, and operate Doctolib's Medical Knowledge Platform: end-to-end indexing and retrieval for clinical AI. Implement large-scale vector search, embeddings, custom re-rankers, query processing, RAG systems, and retrieval evaluation to ground AI decisions in validated medical sources and meet strict latency and throughput requirements.

The Senior Site Reliability Engineer will lead observability strategy, enhance incident response, and improve platform reliability for healthcare professionals.

The Engineering Manager will lead the Observability & Reliability team, drive observability platform evolution, mentor engineers, and manage transversal services.

Build and maintain production data pipelines for AI systems, from ingestion and data capture through monitoring. Ensure data quality, privacy, anonymization, consent, retention, and GDPR compliance. Provide datasets for model training, evaluation, and annotation workflows, while developing monitoring pipelines and dashboards for AI performance. Collaborate with data platform, data science, engineering, product, and business teams to optimize scalable cloud infrastructure and manage costs.

Lead a four-person IT squad supporting Finance systems across four countries. Own the technical architecture, quarterly roadmap, budgets, ERP and integration projects, operational reliability, stakeholder steering committees, AI adoption, support processes, and change management. Manage hiring and team development while partnering closely with Finance leadership and overseeing SAP S/4HANA, SAP Integration Suite, SAP BTP, and related Finance tools.

Lead a team of 6–7 engineers responsible for scheduling infrastructure and booking experiences. Own delivery, quality, production health, roadmap planning, architecture, service migration from a monolith, security, reliability, scalability, hiring, development, and team operations. Partner with product and people teams while integrating AI-assisted engineering practices. The role requires strong backend systems credibility and experience modernizing large legacy platforms in a regulated or high-growth environment.