AI Innovation Summer Internship

• Duration: 12 weeks - expected start date June 2026
• Gravitee is a 2025 Gartner® Magic Quadrant™ Leader, on a mission to govern the world’s intelligence.
• We deliver the industry’s most advanced platform for Any API, Any Event, and Any AI Agent, trusted by global leaders like Michelin, Roche, and Blue Yonder.
• Why join us?

• The Mission: We are the first to bridge traditional API Management with the new frontier of AI Agent Security
• The Momentum: A high-growth Leader - combining market credibility with startup speed
• The DNA: We hire people who Hold Nothing Back - passionate builders who want to redefine digital infrastructure

Don’t just watch the AI revolution. Build the infrastructure that controls and secures it.

The Opportunity : Build. Automate. Innovate.

Forget shadowing and coffee runs. At Gravitee, we believe the best way to learn AI is to build with it. We are looking for two high-energy, technically-curious interns to join our Operations Team for an 8-week summer intensive.

You will be embedded directly into the heart of our business engine, identifying manual "friction points" and replacing them with elegant, AI-powered automations. This is a hands-on role where you will move from concept to a working production tool in weeks, not months.

The Mission: Transforming Operations

Working within the Ops department, your goal is to make Gravitee faster and smarter. Your projects will include

• Process Automation: Using tools like n8n to design and build automated workflows that handle repetitive business tasks.
• AI-Assisted Prototyping: Utilizing Cursor and "vibe coding" techniques to rapidly build internal applications and tools.
• Smart Reporting: Implementing AI-driven resource planning and cross-functional reporting dashboards.
• Tangible Delivery: You will own at least one major automation project from initial discovery to final documentation and leadership presentation.

The Tech Stack: You’ll get a crash course in the tools used by modern "AI-first" companies

• n8n: For production-grade workflow automation.
• Cursor / LLMs: For AI-accelerated development and prototyping.
• Gravitee Platform: Gaining deep exposure to API management and integration design.

Who You Are

• Curious & Practical: You don't just read about AI; you want to see how it can fix a broken business process.
• Background: Currently pursuing (or recently completed) a degree in Computer Science, Engineering, Data Science, or Business.
• Problem Solver: You are comfortable with ambiguity and enjoy solving real problems that don't have a "right" answer in a textbook.
• Communicator: You can explain a technical automation to a non-technical stakeholder with ease.

What’s in it for You?

• Real Responsibility: You are treated as a full team member with a dedicated project portfolio.
• Mentorship: Direct, daily access to our AI Innovation leadership.
• The "Inside Track": While this is a summer role, it serves as the official trial for our 24-Month AI Innovation Graduate Programme launching in 2027. Exceptional interns will be fast-tracked for permanent roles.

To complete your application for the AI Innovation Summer Internship, please include a response to the following challenge. This task helps us understand how you "listen, identify friction points, and build".

Application Task: The Gravitee Operations Challenge

The Context: As part of our Operations team, your goal is to use AI to solve practical business problems and improve how Gravitee operates. This internship is a hands-on trial where you will be building real-world tools from day one.

The Prompt: Identify a common, repetitive manual process found in a typical business Operations department (examples include: new hire onboarding, meeting summarization, internal FAQ management, or resource tracking).

In 300 words or less, please describe

• The Friction: Why is this process currently inefficient?
• The AI Solution: How would you use an LLM (like ChatGPT) and an automation tool (like n8n) to fix it?
• The Impact: What is the tangible benefit to the team (e.g., hours saved, better data accuracy)?