Stage - Etude et Conception d'applications Agentiques - Generative UI F/H

📍 Job Overview

Job Title: Stage - Etude et Conception d'applications Agentiques - Generative UI F/H

Company: Orange SA

Location: Lannion, Brittany, France

Job Type: Internship

Category: Software Engineering / Artificial Intelligence / Research & Development

Date Posted: Nov 04, 2026

Experience Level: Entry Level (0-2 years)

Remote Status: On-site

🚀 Role Summary

• This internship focuses on the cutting-edge intersection of Agentic AI, Generative User Interfaces (Generative UI), and the development of intelligent conversational agents.

• You will be instrumental in researching the latest advancements in AI agents and generative UI, contributing to the design and prototyping of next-generation human-AI interactions.

• The role involves developing functional prototypes for "Generative UI" and a specific project to transform an existing web application by integrating an intelligent copilot.

• You will collaborate closely with business teams to understand use cases, ensuring developed solutions meet specific needs, and conduct user testing to evaluate interface relevance and performance.

📝 Enhancement Note: This role is situated within Orange's Innovation department, specifically within the Agentic Factory, which is tasked with developing and deploying AI agents to meet business needs. The focus on "Generative UI" and "Agentic AI" indicates a strong emphasis on R&D and the development of novel user experiences powered by AI. The project involving a conversational copilot for a web application highlights a practical application of AI for enhancing user assistance and data analysis.

📈 Primary Responsibilities

• Conduct a comprehensive state-of-the-art review on the latest advancements in AI agents and generative user interfaces (Generative UI, MCP apps).

• Participate in the conceptualization and prototyping of agentic applications, envisioning future human-AI interaction paradigms.

• Develop functional prototypes of "Generative UI" by exploring diverse technical approaches to create personalized user experiences.

• Collaborate with business stakeholders to thoroughly understand their specific use cases and ensure that developed solutions precisely address their requirements.

• Test and rigorously evaluate the relevance and performance of generated interfaces, analyzing their effectiveness against defined user personas.

• Implement a conversational copilot for an existing web application, enabling natural language dialogue, data querying, analysis, and proactive, tailored assistance.

📝 Enhancement Note: The responsibilities clearly indicate a hands-on R&D role. The emphasis on "state-of-the-art review," "prototyping," and "exploring different technical approaches" points to a significant research and development component. The practical project of building a copilot demonstrates the application of these research findings into tangible product features. Collaboration with business teams and user testing are crucial for ensuring the practical utility and user-centricity of the developed AI solutions.

🎓 Skills & Qualifications

Education: Currently pursuing a Master's or Engineering degree (Bac+5) in Computer Science, Software Development, or Artificial Intelligence.

Experience: Seeking a 6-month end-of-studies internship.

Required Skills:

• Strong proficiency in Python programming language.

• Knowledge of AI and LLM frameworks, specifically LangChain and/or LangGraph.

• Front-end web development skills, including JavaScript, React, and/or Tailwind CSS.

• Back-end development experience, particularly with JavaScript and Next.js.

• Understanding and practical application of REST APIs. Preferred Skills:

• First experience with containerization technologies such as Docker and Kubernetes.

• Familiarity with Generative UI concepts and related frameworks.

• Experience in data analysis and presentation of complex data.

📝 Enhancement Note: The required skills are a blend of core AI/ML development (Python, LangChain), modern web development (JavaScript, React, Next.js), and API integration. The preferred skills in containerization (Docker, Kubernetes) suggest that the developed applications may be deployed in containerized environments, indicating a practical, production-oriented context for the internship. The emphasis on "Generative UI" and "Agentic AI" in the description and keywords strongly suggests that candidates with prior exposure or a keen interest in these specific sub-fields will be highly regarded.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of personal or academic projects demonstrating proficiency in Python, AI/LLM frameworks (LangChain/LangGraph), and web development (React/Next.js).

• Examples of implemented REST API integrations and data handling.

• Any prior experience with containerization tools like Docker, even if through academic projects.

• Projects that illustrate an understanding of user interface design and interaction, particularly in the context of AI-driven applications. Process Documentation:

• Clear documentation of project workflows, from initial concept and research to prototyping and testing phases.

• Detailed explanations of technical approaches chosen and the rationale behind them.

• Metrics and results from user testing or performance evaluations of prototypes.

• Demonstrations of how business requirements were translated into technical specifications and implemented solutions.

📝 Enhancement Note: While a formal "portfolio" might not be strictly required for an internship, candidates are strongly encouraged to prepare examples of their work that align with the required skills. This could include GitHub repositories for personal projects, academic assignments, or contributions to open-source initiatives. The emphasis on "process" suggests that interviewers will be interested in understanding the candidate's methodology for tackling technical challenges, from problem definition to solution implementation and validation.

💵 Compensation & Benefits

Salary Range: This is an internship position. Compensation will be in line with French internship regulations and Orange's internal guidelines for intern stipends, typically ranging from €1,000 to €1,500 per month, depending on the level of study and specific agreement.

Benefits:

• Opportunity to work on cutting-edge AI and Generative UI technologies.

• Hands-on experience with a practical project involving an intelligent copilot.

• Mentorship and guidance from experienced AI and software development professionals.

• Exposure to a large, innovative technology group (Orange).

• Potential for future career opportunities within Orange, depending on performance and business needs.

• Contribution to real-world applications that address tangible business needs.

Working Hours: Standard French working hours for internships, typically 35-40 hours per week. The specific schedule will be agreed upon with the team.

📝 Enhancement Note: French internship compensation is regulated, and internships at large corporations like Orange often provide a stipend that covers living expenses. The emphasis on "cutting-edge technologies" and "real-world applications" signifies that the primary benefit is the learning and development experience, coupled with the prestige of working for a major tech company. The potential for future employment is a significant incentive for successful interns.

🎯 Team & Company Context

🏢 Company Culture

Industry: Telecommunications, Information Technology, and Digital Services. Orange is a major player in mobile, fixed-line, and digital services globally.

Company Size: Large Enterprise (Orange SA is a multinational corporation with over 130,000 employees worldwide).

Founded: 1985 (as France Télécom, rebranded to Orange in 2006). Orange has a long history of innovation in telecommunications.

Team Structure:

• The role is within the "Agentic Factory" team, part of the "Platforms" direction within Orange Innovation.

• This team is focused on developing and delivering AI agents.

• Collaboration with business units within "Financial & Payment Services" and "Cybersecurity" is expected.

• The environment is described as dynamic, benevolent, and knowledge-sharing oriented, with an emphasis on responsible AI usage. Methodology:

• Focus on developing practical, value-adding AI solutions for business needs.

• Emphasis on responsible and ethical use of AI.

• Collaborative approach to problem-solving and knowledge sharing.

• Agile methodologies are likely employed for project management and development.

Company Website: https://www.orange.com/

📝 Enhancement Note: Orange's culture emphasizes innovation, customer focus, and responsible technology deployment. The "Agentic Factory" signifies a dedicated unit for AI advancement, suggesting a strategic investment in this area. The mention of "Financial & Payment Services" and "Cybersecurity" indicates that the AI agents developed will likely address critical business functions, requiring a high degree of reliability and security.

📈 Career & Growth Analysis

Operations Career Level: This is an entry-level internship, specifically designed for students pursuing a Master's or Engineering degree. It serves as an initial exposure to professional R&D and software development within a large tech organization.

Reporting Structure: The intern will report to a manager or senior team member within the Agentic Factory. They will work within a multidisciplinary team.

Operations Impact: While this is an internship, the work directly contributes to Orange's strategic goals in AI innovation. The developed prototypes and research can influence future product development and the adoption of Generative UI and AI agents across various Orange services, particularly in financial and cybersecurity domains.

Growth Opportunities:

• Deepen expertise in Agentic AI, Generative UI, and LLM frameworks like LangChain.

• Gain practical experience in full-cycle software development, from research and design to prototyping and user testing.

• Develop project management skills by handling a defined project from start to finish.

• Enhance collaboration and communication skills within a multidisciplinary, international team.

• Potential pathway to future internships or full-time roles at Orange in AI, software engineering, or innovation management, based on performance and available opportunities.

📝 Enhancement Note: This internship is positioned as a strong stepping stone for a career in AI and software development. The specific focus on emerging technologies like Generative UI and Agentic AI provides a competitive edge. The mention of potential future roles indicates that Orange views internships as a talent pipeline.

🌐 Work Environment

Office Type: On-site. The role is based in Lannion, France, which is a significant R&D hub for Orange.

Office Location(s): Lannion, Brittany, France. This location is known for its concentration of technology and research activities.

Workspace Context:

• Collaborative office environment within Orange Innovation.

• Access to R&D infrastructure and potentially specialized hardware for AI development.

• Opportunities for direct interaction and knowledge sharing with experienced engineers, researchers, and business stakeholders.

• A focus on innovation and experimentation is likely to permeate the workspace.

Work Schedule: Standard full-time internship hours (approx. 35-40 hours/week), with potential for some flexibility depending on team practices and project needs. The start date is targeted for February 1, 2027.

📝 Enhancement Note: Working on-site in a dedicated R&D hub like Lannion provides direct access to specialized resources and fosters stronger team collaboration and mentorship opportunities, which are crucial for an internship focused on advanced technologies.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of CV and cover letter to assess academic background, technical skills, and motivation for the role and Orange.

• Technical Interview(s): Discussion of programming skills (Python, JavaScript), AI/LLM framework knowledge (LangChain), web development experience (React, Next.js), and API understanding. Candidates may be asked to solve coding problems or discuss past projects.

• Project/Case Study Discussion: Potential discussion of personal projects or hypothetical scenarios related to Generative UI or agentic applications. Candidates might be asked how they would approach designing a specific feature or solving a particular problem.

• Motivational/Cultural Fit Interview: Assessment of curiosity, passion for AI, autonomy, initiative, problem-solving approach, and team collaboration skills. Understanding of Orange's values and the role of responsible AI will be evaluated.

• Final Decision: Based on overall assessment of technical aptitude, problem-solving skills, and cultural fit.

Portfolio Review Tips:

• Highlight Relevant Projects: Showcase projects demonstrating Python, LangChain/LangGraph, React, Next.js, and API experience. GitHub repositories are ideal.

• Explain Your Process: For each project, clearly articulate the problem statement, your approach, the technical challenges faced, and how you overcame them.

• Demonstrate Impact: Quantify results where possible (e.g., performance improvements, user feedback). For this role, focus on user interaction design and AI functionality.

• Showcase Generative UI/Agentic AI Interest: If you have any projects, even experimental ones, related to AI agents, chatbots, or novel UI generation, highlight them prominently.

• Prepare to Discuss: Be ready to walk through your code, explain design choices, and discuss the trade-offs you made.

Challenge Preparation:

• Coding Exercises: Brush up on Python fundamentals, data structures, and algorithms. Practice JavaScript for front-end and back-end scenarios.

• AI/LLM Concepts: Be prepared to discuss basic concepts of Large Language Models, how frameworks like LangChain work, and potential applications of agentic AI.

• Problem-Solving Scenarios: Think about how you would design a conversational interface or integrate AI into an existing application. Consider user experience and data handling.

📝 Enhancement Note: For an internship, the "portfolio" is more about demonstrating potential and foundational skills rather than extensive professional experience. Focus on clear communication of technical concepts and a genuine enthusiasm for AI and innovation. The interview process will likely be designed to assess both technical capability and the candidate's fit within a research-oriented, innovative team.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Languages: Python (primary for AI/ML), JavaScript (front-end and back-end).

• AI/LLM Frameworks: LangChain, LangGraph.

• Front-end Development: React, Tailwind CSS.

• Back-end Development: Node.js, Next.js.

• APIs: REST APIs.

Analytics & Reporting:

• Tools for analyzing user interaction data and prototype performance.

• Data analysis libraries within Python (e.g., Pandas, NumPy). CRM & Automation:

• While not explicitly stated, internal Orange systems for project management, code repositories (e.g., Git, GitLab), and CI/CD pipelines might be utilized.

• Containerization tools like Docker and potentially Kubernetes for development and deployment environments.

📝 Enhancement Note: The technology stack is modern and geared towards AI-driven web application development. Proficiency in Python and familiarity with LLM frameworks are critical. Experience with the specified front-end and back-end technologies will be highly advantageous. Understanding containerization is a significant plus for integrating into development workflows.

👥 Team Culture & Values

Operations Values:

• Innovation: A strong drive to explore new technologies and develop novel solutions.

• Curiosity & Passion: A genuine interest in AI, generative interfaces, and emerging tech.

• Autonomy & Initiative: Encouragement to explore ideas independently and propose solutions.

• Collaboration: Working effectively within a multidisciplinary team, sharing knowledge and ideas.

• Responsibility: Commitment to the responsible and ethical use of artificial intelligence.

• User-Centricity: Focusing on understanding and meeting user needs and business requirements.

Collaboration Style:

• Open communication and knowledge sharing are encouraged.

• Team members are expected to work together to solve complex problems.

• Feedback exchange is a key part of the iterative development process.

• Cross-functional collaboration with business units is essential for aligning technical solutions with real-world needs.

📝 Enhancement Note: The team culture appears to be a blend of research-oriented exploration and practical, business-focused development. The emphasis on "responsible AI" is a critical value for a company like Orange operating in the telecommunications and digital services sector.

⚡ Challenges & Growth Opportunities

Challenges:

• Staying abreast of the rapidly evolving field of AI agents and Generative UI.

• Integrating complex AI models into existing web application architectures.

• Designing intuitive and effective human-AI interactions that go beyond basic chatbots.

• Balancing innovative exploration with the practical requirements of business use cases.

• Ensuring the responsible and ethical deployment of AI technologies. Learning & Development Opportunities:

• Direct hands-on experience with advanced AI frameworks (LangChain, LangGraph) and Generative UI concepts.

• Opportunity to contribute to a real-world project with tangible business impact.

• Mentorship from experienced AI and software engineers.

• Exposure to the internal R&D processes and innovation culture at Orange.

• Potential to develop skills in project management, technical documentation, and user testing.

📝 Enhancement Note: This internship offers a chance to tackle challenging, forward-looking problems in AI. The learning opportunities are significant, providing a strong foundation for future careers in AI development and innovation.

💡 Interview Preparation

Strategy Questions:

• "How would you approach researching the latest advancements in AI agents and Generative UI for a project like this?" (Focus on sources, methodologies, and synthesis of information).

• "Describe a complex technical problem you've faced in a past project (academic or personal) and how you solved it." (Demonstrate problem-solving skills, analytical thinking, and resilience).

• "Imagine you need to integrate a conversational AI copilot into an existing e-commerce web application. What are the key considerations for its design and functionality?" (Assess understanding of user experience, data interaction, and AI capabilities). Company & Culture Questions:

• "What interests you specifically about working at Orange, and within the Agentic Factory team?" (Show genuine interest in Orange's innovation, AI strategy, and the specific team's mission).

• "How do you approach collaboration with team members who have different technical backgrounds or expertise?" (Highlight your teamwork and communication skills).

• "What are your thoughts on the responsible use of AI, and how might it apply to this project?" (Demonstrate awareness of ethical considerations relevant to AI deployment). Portfolio Presentation Strategy:

• Structure: For each project, clearly outline the problem, your solution, the technologies used, your specific contributions, and the outcome/learnings.

• Focus on Relevance: Emphasize projects that showcase your Python, LangChain, React, and Next.js skills, as well as any AI-related work.

• Technical Depth: Be prepared to discuss the technical details of your implementation, design choices, and challenges overcome.

• Showcase Initiative: Highlight projects where you took initiative, explored new technologies, or went beyond basic requirements.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strong technical foundation, a proactive learning attitude, and a clear understanding of the role's innovative nature. Be ready to discuss your projects in detail and articulate your thought process for solving technical and design challenges related to AI and user interfaces.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Orange Jobs portal using the provided link.

• Tailor your CV and cover letter: Clearly highlight your academic background in Computer Science/AI, your proficiency in Python, JavaScript, React, Next.js, and any experience or strong interest in AI frameworks like LangChain/LangGraph and Generative UI.

• Prepare your portfolio: Gather examples of relevant projects (GitHub links are ideal) that showcase your technical skills, problem-solving abilities, and interest in AI and web development. Be ready to discuss these projects in detail.

• Research Orange and the role: Understand Orange's strategic focus on innovation and AI. Familiarize yourself with the "Agentic Factory" and the specific project details mentioned in the job description.

• Practice your interview responses: Prepare for technical questions on Python, JavaScript, AI concepts, and potential behavioral questions related to teamwork, problem-solving, and your motivation.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.