Software Engineer Intern
Cambrient AI
United StatesFresher1h agovia LinkedIn
About the Role
Cambrient AI is building AI-native security for a new attack surface, protecting organizations by bringing context-aware intelligence to email and securing AI agents. As an intern, you will have the opportunity to own meaningful work, collaborate directly with founders, and shape the product and systems. This is an internship/part-time role, 10-20 hours per week, with pay of $20-$25/hr.
What You’ll Do
- Build core platform features end-to-end across dashboard, APIs, and database.
- Solve challenging security problems, including click-time link classification and tools for AI investigations.
- Prioritize reliability by writing tests, maintaining code quality, and ensuring correctness and security.
- Contribute to building for growth by shaping technical decisions around performance, scalable architecture, and distributed systems.
- Improve deployment processes with infrastructure and tooling.
- Raise the technical bar by bringing ideas, challenging assumptions, and improving engineering practices.
Requirements & Tech Stack
- React
- TypeScript
- Python
Qualifications
- Strong Python skills: Experience building backend services and APIs, with attention to correctness, maintainability, and error handling.
- Full-stack development experience: Comfortable working across frontend interfaces, backend logic, and databases.
- Hands-on React and TypeScript experience.
- Demonstrated experience of shipping software to real users (personal projects, open source, or previous work).
- Ownership and autonomy: Ability to take a scoped problem, propose an approach, and drive it through completion while communicating clearly.
- Interest in cybersecurity and AI.
Nice to Have
- Familiarity with AWS services and deploying applications on AWS.
- Experience with IaC, container orchestration, and CI/CD in production.
- Experience with system design, distributed systems, or scaling applications.
- Familiarity with Microsoft Graph, Google APIs, or OAuth integrations.
- Experience with LLM APIs, tool calling, or agent workflows.