AI Innovation Summer Internship

AI Innovation Summer Internship (Operations Focus)

Location: London

Duration: 12 weeks

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.

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:

1. The Friction: Why is this process currently inefficient?

2. The AI Solution: How would you use an LLM (like ChatGPT) and an automation tool (like n8n) to fix it?

3. The Impact: What is the tangible benefit to the team (e.g., hours saved, better data accuracy)?