AI Intern
Astra Security
2 - 5 years
Bengaluru
Posted: 04/04/2026
Job Description
Astra Security is a cybersecurity SaaS company helping businesses simplify and scale their security testing with our AI-led Pentest Platform. Our continuous vulnerability scanner runs 13,000+ tests, mimicking real-world hacker behavior to secure applications faster and smarter.
Trusted by 800+ companies in 70+ countries including Loom, MamaEarth, OLX Autos, and Muthoot Finance Astra helped uncover 2.5M+ vulnerabilities in 2024 alone, saving over $110M in potential losses. Recognized by global leaders like PM Narendra Modi and President Franois Hollande, Astra is redefining how modern teams achieve DevSecOps.
AI Engineer Intern
Role Overview
We are looking for a technically strong and product-driven AI Engineer Intern who is eager to build scalable applications and contribute to AI-powered solutions.
As an AI Engineer Intern, you will work on building AI-powered agentic systems and RAG-based applications, collaborating closely with engineering and product teams to ship real-world AI features.
- Position: AI Engineer Intern
- Location: Hybrid - Bengaluru (in-office collaboration expected)
- Duration: 6 Months
What Youll Work On
AI Application Development
- Build AI-powered applications using LLMs (OpenAI, Anthropic, or open-source models)
- Work with frameworks like LangGraph, Mastra, or similar
- Integrate AI features into Astras cybersecurity platform
RAG & Knowledge Systems
- Assist in building Retrieval Augmented Generation (RAG) systems
- Work on embeddings, vector databases, and semantic search
- Improve prompt design and retrieval quality
Agentic Workflows
- Help build AI agents that can execute multi-step tasks
- Work on integrating agents with APIs and internal tools
Engineering & Systems
- Write clean, scalable code in Python or TypeScript
- Contribute to APIs and backend services for AI features
- Work with tools like Docker, Git, and basic CI/CD
Tools & Tech Youll Use
- Python / TypeScript
- LangGraph, Mastra, CrewAI (or similar)
- Vector DBs (FAISS, PGVector, Pinecone, Weaviate)
- LLMs (OpenAI, Anthropic, Llama, Mistral)
- Docker, Git, CI/CD
- AWS / GCP (basics)
What Were Looking For
- Final-year student or recent graduate in CS/AI or related field
- Have built at least one AI project (RAG app, chatbot, or AI agent)
- Basic understanding of LLMs and how they work
- Comfortable coding in Python or TypeScript
- Curious, hands-on, and eager to build real-world AI systems
Nice to Have
- Experience with RAG or vector databases
- Exposure to agent frameworks
- Interest in cybersecurity
Perks & Benefits
- Hands-on experience working on cutting-edge AI + cybersecurity problems
- Build real products used by global companies
- Fast-paced, high-ownership environment
- Learn directly from experienced engineers and founders
- Internship Certificate
- Performance-based PPO opportunity
Whats Next?
Once we receive your application, well review it and reach out if your profile aligns with what were looking for. If its a match, expect:
> Initial Screening Call
> Technical Interview
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