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# Lead Dev .NET AI (M/F)

- **Company:** Magellan
- **Location:** Valbonne, France (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Agile Methodology, Artificial Intelligence, Computer Vision, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Software Quality, Code Review, Continuous Integration, DevOps, Machine Learning, Microsoft SQL Server, MongoDB, NoSQL, Redis, TypeScript, Cloud Platform System, ReactJS, Blazor, Backend, Git, Vue.js, AngularJS, Kubernetes, Cosmos DB, Front End Software Development, Restful APIs, Terraform, Docker, Microservices
- **Published:** September 1, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=4b2b7052493b7d2b

## About the Role

You have at least 5 years of experience in .NET development and have already managed or mentored technical teams. You are a pragmatic technical leader, able to make structural decisions and guide teams toward excellence.

You master several of the following technologies:

 * Backend: .NET (Core, Framework Standard), C#, REST API, microservices.
 * Frontend: Blazor, Vue.js, React, Angular, TypeScript.
 * Artificial Intelligence: OpenAI, Azure AI, ML.NET, NLP, Computer Vision. Databases: SQL Server, Cosmos DB, Redis, MongoDB, NoSQL.
 * Cloud & Infrastructure: Azure (preferred but not exclusive), Kubernetes, Terraform, Docker.
 * Methodology & Quality: Azure DevOps, Git, Agile, Automated testing. English proficiency is mandatory., Early access to new technologies such as #M'GPT, #Copilot, and the highest levels of Microsoft certifications!

## Description

As a .NET AI Lead Developer (M/F), you play a central role in the design and optimisation of software architectures whilst integrating AI components where they deliver genuine business value. You operate in an agile and collaborative environment, on varied projects involving .NET, AI and cloud environments, notably Azure.

Design & Development:

 * Analyse technical and functional requirements, audit existing systems
 * Design and develop scalable, high-performance software architectures in .NET
 * Integrate and leverage generative AI and machine learning services (Azure AI, OpenAI, ML.NET)

Leadership & Mentoring:

 * Facilitate technical workshops, share best practices and supervise teams
 * Ensure developer upskilling through mentoring and code reviews
 * Define and promote development and architecture standards

Quality, Performance & Deployment:

 * Implement and ensure DevOps and CI/CD best practices
 * Conduct code reviews and ensure software quality and security
 * Maintain a technology watch and propose relevant innovations