AI/ML Intern

Stackular

Hyderabad, Telangana, IndiaFresher35m agovia LinkedIn

Posted 13 Nov 2026, 19:45 IST

This job at a glance

Who can apply
Freshers and up to 1 year
Must know
Machine learningREST APIsPythonLLMsSQLGit
Work
On-site in Hyderabad · internship
Pay
Not stated by the employer.
Skill demand
Machine learning83%LLMs69%Python65%REST APIs48%of 100 similar fresher jobs posted in India this week
Listed
13 Nov 2026 · still open

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About the Role

  • Role: AI/ML Intern – Agentic AI (Autonomous Agents)
  • Company: Stackular
  • 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 review based on performance; potential starting salary of ₹50,000 INR/Month.

Role Overview

We are seeking driven interns to work on cutting-edge Agentic AI systems, focusing on autonomous agents that can reason, plan, and act independently. This role is ideal for individuals passionate about AI beyond the basics, offering hands-on exposure to real agent workflows.

Key Responsibilities

  • 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.

Requirements & Tech Stack

  • 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.

Qualifications

  • 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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