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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 François 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 You'll 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 Astra's 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 You'll 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 We're 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

What's Next

Once we receive your application, we'll review it and reach out if your profile aligns with what we're looking for. If it's a match, expect:

> Initial Screening Call

> Technical Interview

More Info

Job Type:
Industry:
Function:
Employment Type:

Key Skills

LLMs

Pinecone

Vector DBs

Anthropic

PGVector

LangGraph

FAISS

Mastra

OpenAI

Weaviate

CI CD

About Company

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