Agent Hacker is a company focused on AI defensive engineering and research. They are seeking a Security Engineering Intern who will work on the defensive side of agent security, building and testing infrastructure that protects autonomous AI systems in production.
Responsibilities:
- Build detection pipelines across pattern, semantic, and behavioral signals
- Expand and harden our red-team test suites against the production SDK
- Ship framework adapters that let our security layer plug into LangChain, OpenAI Agents SDK, and other agent runtimes
- Develop attack scenarios, payloads and eval datasets that strengthen the product
- Contribute to dashboard, telemetry and visibility tooling for real-world deployments
Requirements:
- CS, security, or related students (undergrad or grad) who already build things outside of class
- comfort with Python and at least one of: TypeScript/React, ML/NLP, or systems-level work
- curiosity about LLM internals, agent architectures, and prompt injection
- CTF experience
- security research
- open source contributions
- your own side projects that broke something
- no specific degree or year required — show us what you've built