AI/ML Intern – Agentic AI

1 day ago

Hyderabad, Telangana, India Stackular Full time ₹ 3,50,000 - ₹ 5,00,000 per year

Role:
AI/ML Intern – Agentic AI (Autonomous Agents)

Internship Duration:
6 Months

Location:
Raidurg Main Road, Hyderabad.

Work mode:
On-site

Work Hours:
11:00 AM to 8:00 PM

Stipend:
35,000 INR/Month.

Full-Time Offer:
Based on your performance, we will review your internship and extend a full-time offer. The starting salary for the full-time role will be
₹50,000 INR/Month
.

About us:
At Stackular, we are more than just a team – we are a product development community driven by a shared vision. Our values shape who we are, what we do, and how we interact with our peers and our customers. We're not just seeking any regular engineer; we want individuals who identify with our core values and are passionate about software development.

Role Overview

We're looking for driven interns who want to work on
cutting-edge Agentic AI systems
—autonomous agents that can reason, plan, and act independently.

If you're passionate about AI beyond the basics and want hands-on exposure to real agent workflows, this role is built for you.

What You'll Work On

  • Designing and experimenting with
    autonomous AI agents
  • Building agent workflows using LangChain, OpenAI tools, RAG pipelines, etc.
  • Integrating APIs, vector databases, and automation tools
  • Running experiments, tracking behavior, and refining performance
  • Contributing to internal POCs and innovation projects

What You Need

  • Strong Python skills (or solid programming in any language)
  • Understanding of ML fundamentals & embeddings
  • Familiarity with LLM-based apps, LangChain, or RAG (or willingness to learn fast)
  • Basic knowledge of GitHub, SQL, and cloud platforms

Great to Have

  • Experience with autonomous agents (CrewAI, AutoGen, Swarm libraries)
  • Exposure to vector databases
  • Knowledge of reinforcement learning

Who Can Apply

  • Final-year students or recent graduates in Computer Science, Artificial Intelligence, Data Science, or related disciplines.
  • Candidates with hands-on coursework or project experience in AI/ML, especially on Agentic AI.
  • Individuals who are self-driven, collaborative, and passionate about applying technology to real-world impact.
  • Those eager to build, experiment, and contribute meaningfully to a fast-moving AI environment.

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