For Engineering Intern - Agents Prompts & Engineering Workflows H/F Safran
- Vélizy-Villacoublay - 78
- Stage
- Bac +5
- Industrie Aéronautique • Aérospatial
Les missions du poste
Context
You will work within a dynamic and innovative team created to develop groundbreaking new products rapidly and efficiently. We call it the Future Transportation Systems (FTS) team!
Operating in an agile manner, Safran Landing Systems' Future Transportation Systems team sits within a well-established engineering organization, providing access to decades of landing systems expertise to support and complement the team's innovative ideas.
As part of the team, you will work on a variety of technically complex and challenging topics related to the development of new landing systems for the latest innovations in transportation. Current and past projects include disruptive aircraft braking solutions, more-electric landing systems, and much more.
As our engineering activities become increasingly complex, Artificial Intelligence offers new opportunities to support engineers in analysing information, solving problems, documenting their work, and accelerating engineering processes. FTS is therefore exploring how AI can be practically integrated into day-to-day engineering activities.
You will have the opportunity and responsibility to help us turn these possibilities into practical engineering tools. Let's innovate together!
Description
If selected, you will join the Safran Landing Systems Future Transportation Systems team and contribute to the development and deployment of AI-based agents, prompts and workflows to support engineering activities within FTS.
Working directly with engineers, you will identify engineering activities where AI can provide meaningful support and transform these opportunities into practical solutions using tools such as Microsoft Copilot, Safran's secured internal ChatGPT environment, and potentially other approved AI tools.
The objective is not simply to experiment with AI, but to develop useful, reliable and reusable engineering assistants and methodologies that can be applied to real FTS engineering activities.
Le profil recherché
Identify engineering activities and workflows within FTS where AI can provide meaningful support.
Develop and optimize prompts, prompt libraries and structured AI workflows for engineering applications.
Design and prototype AI agents and engineering assistants dedicated to specific engineering activities.
Explore the capabilities of Microsoft Copilot, Safran's secured internal ChatGPT environment and other approved AI tools.
Work with FTS engineers to understand their needs and translate engineering use cases into effective AI solutions.
Test AI agents and prompts against representative engineering problems and assess the quality, consistency and reliability of their outputs.
Develop approaches for providing AI tools with the appropriate engineering context, knowledge and documentation.
Identify limitations and potential failure modes, including incorrect or unsupported AI-generated information, and develop appropriate verification methods.
Create simple demonstrations and prototypes allowing engineers to evaluate and use the solutions developed.
Document successful approaches and develop reusable guidelines, prompt templates and best practices for engineering applications of AI.
Support the progressive adoption of AI tools within the FTS engineering team.
The internship will combine AI experimentation with real engineering problems. You will therefore work closely with engineers and be expected to understand the engineering context behind the tasks you are trying to improve, rather than approaching AI purely from a software or IT perspective.
As a member of an international team, you will work with employees and interns distributed across several sites and locations around the world. Therefore, a good level of English is required.
Profile
We are looking for someone who is curious about both engineering and Artificial Intelligence, and who enjoys experimenting, understanding how things work, and turning ideas into practical solutions.
A background in engineering, computer science, data science, applied mathematics or a related technical discipline would be appropriate.
Previous experience developing AI models is not required. Of greater importance is an interest in understanding how modern generative AI tools can be used effectively and responsibly to solve engineering problems.
Experience with tools or concepts such as Microsoft Copilot, ChatGPT, prompt engineering, AI agents, Python, automation or data analysis would be an advantage.
Bienvenue chez Safran
Safran est la 2ème entreprise du secteur aéronautique et défense du classement « World's Best Companies 2025 » du magazine TIME.
SLS est le leader mondial des trains d'atterrissage, roues & freins, et systèmes associés, pour avions civils, militaires, hélicoptères. Nous maîtrisons l'ensemble du cycle de vie de nos produits, de la conception et la fabrication jusqu'à la maintenance.
Envie d'évoluer dans un environnement international, stimulant et bienveillant, au sein d'une entreprise à taille humaine ? Rejoignez-nous !
Vous ne remplissez pas 100 % des critères ? Ce n'est pas un frein pour nous. Ce que l'on recherche avant tout, ce sont des personnes créatives et engagées !
Parce que nous sommes persuadés que chaque talent compte, nous valorisons et encourageons les candidatures de personnes en situation de handicap pour nos opportunités d'emploi.
Publiée le 09/11/2026 - Réf : 2026-192065