IT Jobs for 2025 batch|Direct test hiring|Off campus recruitment Bangalore

Added: 2026-05-06

[00:00:00]Hello friends, good morning, good afternoon, good evening. So, this is position for AI engineer internship profile for Astra security system, which I'm going to cover in this video. So, first about the company, Astra security is basically a cybersecurity software as a service company, which helps businesses simplify and scale their security testing with AI led pentest platform. So, basically they are into vulnerability scanning and runs 13,000 plus tests across real-world hacker behavior, right? To secure applications faster and smarter.

[00:00:40]So, it's trusted by 800 plus companies in 70 plus countries. And some of the customers are like Loom, Mamaearth, OLX Autos, Muthoot Finance, all the top-notch companies. And Astra covers around 2.5 plus vulnerabilities every year and saving around 110 million dollars. So, recognized by global leaders like Prime Minister Narendra Modi and French President Hollande President Hollande, Astra has has been redefining DevOps DevSecOps life. So, they are offering AI engineer intern profile.

[00:01:21]So, part of this, they are looking for technically strong and product divide driven AI engineer intern who is eager to build scalable applications and contribute to AI powered solutions. So, as as an AI engineer intern, you will work on building AI powered agentic systems and RAG based applications, collaborate with engineering and product teams who ship real-world AI features.

[00:01:50]So, basically this is position AI engineer intern and the job location will be Bangalore hybrid and this is duration of 6 months.

[00:01:59]So, AI What are What work you're going to do is AI application development. This is build AI powered applications using LLM large language models like OpenAI, Anthropic, or any of the open-source models.

[00:02:15]You will work with frameworks like LangGraph, Maestra, or similar.

[00:02:20]Integrate AI features into Astra cybersecurity platform.

[00:02:25]RAG and knowledge systems assist in rebuilding retrieval augmentation system RAG systems.

[00:02:32]Work on embedding vector databases and semantic search.

[00:02:36]Improve prompt design and retrieval quality.

[00:02:40]You will also need to work on agentic flows, so workflows. Basically, build AI agents that execute multi-step tasks, right? Work on integrating agents with API and internal tools.

[00:02:55]Engineering and systems where you will write clean scalable code in Python or TypeScript.

[00:03:02]You'll contribute to APIs and backend services for AI features.

[00:03:07]Work with tools like Docker, Git, and the basic CICD pipelines.

[00:03:12]So, tools and tech technologies you will use is Python, TypeScript, and LangGraph, Maestra, any one of them, vector DBs, any one of them, LLMs, any one of them, Docker, Git, CICD, AWS, GCP basics of the cloud.

[00:03:31]So, they are looking for somebody who's in the final year students or recent graduate in CS, computer science, AI, or any related field and 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 and curious hands-on and eager to build real-world AI systems.

[00:04:00]In terms of nice to have skills, basically experience with RAG or vector database, exposure to agent framework.

[00:04:08]And you'll get personal benefits including hands-on experience on cutting-edge AI products plus cybersecurity problems and build real products used by global companies and fast-paced high ownership environment.

[00:04:24]And you will get internship certificate.

[00:04:26]Performance-based PPO opportunities also there.

[00:04:30]So, step will be basically you will they will receive application and they will review it and after that, you will have initial screening call and technical interview. Post that, you will be offered an internship and possible PPO also. So, that's all I have to cover in this short video.

[00:04:47]If you are interested to apply, the link is in the description box. That's all.

[00:04:51]Thanks for watching.

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