AI Engineering Intern

About Us:

Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.

Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results.

When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs.

At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.

If this sounds like you, we’d love you to be part of Gen.

About The Role:

This is full time (40hr/week), onsite internship starting from 15th of June.

In this role, you will work on building and improving autonomous AI systems that detect and classify threats across a 500M+ user base.

The role spans two directions: using AI to solve security problems, and making AI systems themselves safer.

You will contribute to our open-source agentic safety framework, helping secure AI agents against prompt injection and misuse.

In this role, you will:

• Develop and optimize autonomous agentic systems, agentic workflows, or MCP servers that power our Threat Labs operations

• Work hands-on with the latest LLMs and AI coding tools as part of your daily workflow, not just as a research topic

• Ship things that matter. We're a small team, so intern contributions actually reach production

About You:

We’re looking for a motivated and capable student who is eager to learn how to solve real-world problems and become a meaningful contributor to the team.

You are curious, proactive, and not afraid to explore new technologies, especially in the AI space. You enjoy figuring things out, asking questions, and learning by doing.

What’s Next:

The interview process consists of two stages.

You can expect a combination of conversations and a take-home task. You’ll meet the hiring manager and complete a short assignment to showcase your thinking and approach to problem-solving.