AI & Cybersecurity Engineering Intern

About the Role

DeepNotch helps enterprises make informed business decisions by integrating security, risk, and compliance insights into AI operations. Its mission is to accelerate AI adoption while maintaining security, trust, and regulatory alignment, creating safer and more reliable AI ecosystems for clients.

This is a Part-Time Internship for 3-6 months with a Potential Full-Time Opportunity.

Key Responsibilities

• AI & LLM Development: Build AI-powered applications using LLMs, RAG, LangChain, LangGraph, and modern AI frameworks.
• AI Agents & Automation: Design autonomous and multi-agent systems capable of performing complex cybersecurity tasks.
• AI Security & Red Teaming: Identify vulnerabilities in AI applications, including prompt injection, jailbreaks, data leakage, and adversarial attacks.
• MCP Server Development: Build and integrate Model Context Protocol (MCP) servers, tools, and AI agent workflows.
• API & Backend Integration: Work with Python, FastAPI, REST APIs, databases, and cloud-based AI infrastructure.
• AI Security Research: Explore emerging threats, security frameworks, and innovative approaches to securing AI agents and LLM applications.

Requirements & Tech Stack

• Strong Python programming and problem-solving skills.
• Hands-on experience building AI/LLM applications or AI agents.
• Good understanding of cybersecurity fundamentals, application security, and common vulnerabilities.
• Familiarity with LLM APIs, prompt engineering, and AI development frameworks.
• Understanding of APIs, Git, and modern development practices.
• Ability to independently research, prototype, troubleshoot, and deliver working solutions.

Bonus Skills

• Experience with OWASP LLM Top 10 and OWASP Agentic AI security risks.
• Familiarity with AI security testing tools.
• Experience developing MCP servers and integrating external tools with AI agents.
• Knowledge of cloud security, Docker, vector databases, and RAG architectures.
• Exposure to offensive security, penetration testing, or automated security assessment.
• Contributions to GitHub projects, open-source tools, or AI security research.

Ideal Candidates

• Final-year students, recent graduates, and exceptional self-taught developers.
• Passionate about both Artificial Intelligence and Cybersecurity.
• Love building things rather than just studying concepts.
• Can independently turn ideas into functional prototypes.
• Enjoy experimenting with emerging AI technologies.
• Curious about Agentic AI, AGI, and the future of autonomous cybersecurity.
• Comfortable working in a fast-moving startup environment.

We value demonstrated skills, GitHub projects, and practical experience more than certifications or academic grades.

What You'll Gain

• Work on real AI and cybersecurity products.
• Direct exposure to advanced AI agents, LLM security, and cybersecurity automation.
• Opportunities to own features and contribute to product architecture.
• Mentorship and collaboration with experienced cybersecurity and AI professionals.
• A potential full-time position based on performance, technical contributions, and achievement of agreed KPIs.

How to Apply

Send us:

• Your updated CV or LinkedIn profile.
• GitHub portfolio or links to AI/cybersecurity projects.
• A brief description of the most interesting AI or cybersecurity tool you've built.