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Mission
Move from AI exploration to AI adoption by accelerating the software development lifecycle through measurable impact, real usage, and scaled adoption—delivering tangible results powered by the DRIVE program.
Key Expected Achievements
As part of a strategic initiative on Generative AI, you will design, build, and industrialize high visibility GenAI solutions.
You will work closely with innovation, data, and IT teams to deliver robust, scalable, and secure AI capabilities that integrate seamlessly with enterprise systems
Key Responsibilities:
• Design and develop AI powered applications integrating Large Language Models (LLMs), including RAG, embeddings, and agent-based components.
• Define and contribute to scalable GenAI architectures, ensuring robustness, performance, and industrial readiness.
• Implement APIs, microservices, and AI pipelines within an industrial cloud environment.
• Support client teams through scoping, technical expertise, architecture reviews, audits, and best practice guidance.
• Ensure solution quality, security, compliance, and observability, following governance and risk management standards.
Required Profile:
• Strong backend engineering experience in Python, Node.js, or Java.
• Proficiency with GenAI frameworks such as LangChain, LlamaIndex, Hugging Face, and OpenAI API.
• Hands on exposure to at least one major cloud platform (Azure, AWS, or GCP) and experience with demanding production grade industrial environments.
• Ability to operate effectively in large enterprise ecosystems: structured communication, rigor, and a strong service mindset.
• Experience with RAG architectures, vector databases, and MLOps pipelines is a strong plus.
Team Life & Ways of Working:
• Embrace and respect Agile rituals, contributing actively to continuous improvement of team processes and collaboration.
• Participate in workload estimation for backlog items, challenging complexity and scope when needed.
• Contribute to sprint planning and allocation of tasks, supporting the delivery of incremental value and modernization of components (Evergreen approach).
Behavioural Skills:
Planning & organizing,
Teamwork & Collaboration,
Customer Focus,
Continuous learning
Ability to rapidly learn and take advantage of new concepts, business models, and technologies
Working with internal and external stakeholders in an international environment.
Product approach mindset
Experience - 5-7 years
Skills Required
- 5–7 years of experience
- Strong backend engineering experience in Python, Node.js, or Java
- Proficiency with GenAI frameworks including LangChain, LlamaIndex, Hugging Face, and OpenAI API
- Hands-on experience with at least one major cloud platform: Azure, AWS, or GCP
- Experience working in demanding production-grade industrial environments
- Experience with RAG architectures, vector databases, and MLOps pipelines
- Structured communication, rigor, and a strong service mindset
- Ability to work with internal and external stakeholders in an international environment
Michelin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Michelin and has not been reviewed or approved by Michelin.
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Healthcare Strength — Healthcare access is described as broad, including medical, prescription, dental, mental/behavioral health support, and disability and life insurance coverage. Global baseline protections also emphasize healthcare coverage for employees and families.
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Retirement Support — Retirement support is characterized as strong, with a 401(k) plus additional retirement components referenced alongside profit sharing in the overall package. Financial benefits are framed as a meaningful part of total rewards beyond base salary.
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Parental & Family Support — Parental and family support is positioned as a notable strength through global minimum paid maternity/adoption and paternity/adoption leave, plus survivor benefits tied to salary and education support for children. Additional family-oriented benefits such as adoption assistance are also included in the package.
Michelin Insights
What We Do
Michelin, the leading tire company, is dedicated to sustainably improving the mobility of goods and people by manufacturing and marketing tires and services for every type of vehicle, including airplanes, automobiles, bicycles/motorcycles, earthmovers, farm equipment and trucks. It also offers digital mobility support services and publishes travel guides, hotel and restaurant guides, maps and road atlases. Headquartered in Clermont-Ferrand, France, Michelin is present in more than 170 countries, has 111,200 employees and operates 67 production plants in 17 different countries. Michelin has a Technology Center in charge of research and development, with operations in Europe, North America and Asia. In short, whether you look at our mission, our products or our people, Michelin is a company that truly helps you to move forward....
