Get to know us

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components.
• Our mobile applications are built with React Native. The rest of our stack is composed of Rails, TypeScript, Java, Python and Kotlin.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here and learn about our first AI hackathon here!

If you don’t meet all the requirements below but believe this opportunity matches your expectations and experience, we still encourage you to apply!

You could be our next team mate if you:

• Have 5+ years of experience in Engineering;
• Have strong hands-on experience with React Native, with a proven track record of building and shipping mobile applications;
• Have a strong understanding of Design System architecture, component-driven development, and the collaboration between design and engineering;
• Have solid experience with React and TypeScript, understanding the nuances between React Web and React Native development;
• Have experience applying or promoting Accessibility (A11y) best practices (WCAG, ARIA, semantic HTML, assistive technology testing);
• Are passionate about knowledge sharing and mentoring, with the ability to upskill colleagues on mobile development;
• Understand the value of testing and code quality as foundations for scalable and robust interfaces;
• Have the ability to adapt and choose the most efficient technologies to solve complex UX and engineering challenges;
• Have proven experiences developing efficient, maintainable and secure products;
• Are comfortable speaking English in your day by day with the team;

Now, it would be fantastic if you:

• • Have experience building unified component libraries across Web and Mobile platforms;
  • Have a great understanding of JS/TS building and packaging processes;
  • Have a great understanding of web and mobile application performance tuning;
  • Have native iOS or Android development experience alongside React Native;
  • Have contributed to open-source mobile or Design System projects;

You could be our next team mate if you: 

• Have a solid hands-on experience (3y+) on a large-scale production platform 
• Have proven experience with cloud platforms such as AWS, Azure or Google Cloud
• Have solid understanding of containerization and orchestration technologies (Docker and Kubernetes)
• Have a strong understanding of Helm for managing Kubernetes manifests and ArgoCD for GitOps workflows
• Deep expertise in observability tooling and architecture, such as:
  
  

1. Logging: Fluent Bit, OpenTelemetry, Loki, Elasticsearch, Logstash, Vector
2. Tracing: OpenTelemetry or proprietary APMs
3. Metrics: Prometheus, Thanos, Datadog, or equivalent

• • Have proficiency in at least one programming language (Ruby, Python, Go, Java, etc.) and a deep understanding of infrastructure as code principles
  • Have an experience with monitoring and observability tools
  • Like troubleshooting performance issues in complex environments
  • Speak English

You could be our next team mate if you: 

• Have strong analytical skills, are result oriented and user first
• Have 7 years of experience in the domain of Machine Learning / Deep Learning / AI Engineering, including taking models from prototype to production at scale.
• Have deep experience in Information Retrieval and modern retrieval stacks, including some of the following: 
  • Hybrid search (sparse + dense)
  • Large-scale embeddings and vector databases 
  • Multi-stage retrieval and re-ranking pipelines
  • RAG architectures and retrieval pipelines on multimodal use cases
  • Tool- and MCP-based integrations to bring in external data and capabilities
• Proficient in LLM/VLM application development, including: 
  • Fine-tuning LLM and VLM models
  • Mixture-of-Experts (MoE) architectures (via LiteLLM or Model Garden)
  • Knowledge Distillation 
  • Prompt engineering and tool use
  • Evaluation and benchmarking of LLM/VLM systems
• Have hands-on experience with agentic AI (e.g. building and orchestrating agents on top of ADK).
• Have demonstrated strong scientific rigor and benchmarking skills:
  
  • Designing metrics aligned with product goals,
  • Running controlled end to end experiments with W&B, MLFlow or Braintrust
  • Analysing and communicating results to guide product and technical decisions.
• Have experience with large scale applications in production (monitoring, reliability, performance, observability).

Now, it would be fantastic if you: 

• • Have experience in B2C marketplace.
  • Have experience in other ML methodologies : pattern mining, recommendation, experimentation or causal inference.

Your responsibilities include but are not limited to:

• • Collaborate with product managers, designers, and engineers to build features that deliver value to healthcare professionals and patients

  • Design and implement technical solutions ensuring performance, security, and usability across our fullstack applications (React, TypeScript, JVM ecosystem)

  • Contribute to code quality through reviews, testing, and continuous improvement of our development practices

  • Share your expertise and collaborate across teams to evolve Doctolib’s architecture and technical standards