AI/ML Intern – Agentic AI

3 weeks ago

Hyderabad, India Stackular Full time

Role: AI/ML Intern – Agentic AI (Autonomous Agents)Internship Duration: 6 MonthsLocation: Raidurg Main Road, Hyderabad.Work mode: On-siteWork Hours: 11:00 AM to 8:00 PMStipend: 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 OverviewWe’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 OnDesigning and experimenting with autonomous AI agentsBuilding agent workflows using LangChain, OpenAI tools, RAG pipelines, etc.Integrating APIs, vector databases, and automation toolsRunning experiments, tracking behavior, and refining performanceContributing to internal POCs and innovation projectsWhat You NeedStrong Python skills (or solid programming in any language)Understanding of ML fundamentals & embeddingsFamiliarity with LLM-based apps, LangChain, or RAG (or willingness to learn fast)Basic knowledge of GitHub, SQL, and cloud platformsGreat to HaveExperience with autonomous agents (CrewAI, AutoGen, Swarm libraries)Exposure to vector databasesKnowledge of reinforcement learningWho Can ApplyFinal-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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