End-of-studies internship - AI Engineer M/F

Mission: The internship will allow you to put your skills into practice, learn from experts, and contribute to concrete and meaningful projects. Being a consultant means participating in projects that address both technical challenges and business problems across various sectors (luxury, retail, banking/insurance, industry, etc.). Our missions combine technical and operational aspects, allowing you to deepen your knowledge in cutting-edge areas. You will participate in the entire data lifecycle to develop and maintain our clients' strategic data applications. Depending on the projects, you may participate in:

• Analyzing needs and designing AI architectures;
• Developing agents, workflows, and RAG applications;
• Integrating tools, APIs, and enterprise data;
• Developing APIs, MCPs, and backend services;
• Industrializing and deploying cloud solutions;
• Implementing testing, evaluation, observability, and security measures;
• Documenting and sharing best practices.

Here are some examples of topics:

• Designing and developing autonomous agents for business process automation: Designing complex workflows (industrial or customer-facing) where AI agents sequentially perform tasks, make decisions, and interact with internal company tools and data.
• Designing and orchestrating multi-agent platforms: Creating complex architectures where multiple specialized AI agents collaborate to solve challenging problems (e.g., search agents, synthesis agents, code execution agents) with the goal of optimizing operational efficiency.
• Deploying cloud platforms for developing, securing, monitoring, and scaling AI solutions.

Lab’ AVISIA: In addition to our missions, we undertake various internal projects that fuel our research and development. These projects enable us to offer our clients innovative analytical approaches, tested in real-world conditions. To support these initiatives, we have created our own infrastructure. Our consultants have access to the latest resources and market solutions for training, including "early adopter" versions to test before their general release.

Our commitments: Following the implementation of a robust internal CSR policy, we have decided to focus our efforts on projects with a sustainable development focus. A dedicated initiative was born: AVISIA Impact. This initiative is therefore our response to contribute directly (through our projects) and indirectly (through training our teams) to the challenges of sustainable transformation. We want to foster the emergence of future transformation players and accelerate the pace of change. For more information on these data for sustainable transformation initiatives, please consult our dedicated Data For Impact page.

Human factor: We are therefore looking for talents who:

• Possess excellent interpersonal skills,
• Are eager to contribute to the success of client projects,
• Have good critical thinking skills,
• Place a high value on the quality of deliverables and their presentation,
• Are curious and eager to stay up-to-date with market trends,
• Have a desire to continue learning to be active participants in their progress.

Skills: You are in your final year of university or a prestigious school, pursuing a degree in "Data Science". Depending on the focus, you may work with:

• Python, SQL, NodeJS,
• FastAPI, LangChain, ADK, LlamaIndex, APIs (OpenAI, Anthropic, etc.),
• Docker, Kubernetes, Terraform, Git
• Google Cloud, AWS, Azure, Snowflake, Databricks, Dataiku.

There is no need to master everything: above all, we are looking for individuals with experience as an AI Engineer (internship, academic project, personal project), who are curious, capable of learning quickly, and eager to develop in the field of generative AI, industrialization, and cloud technologies.