Job Title

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 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 projectsWhat 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 platformsGreat to Have- Experience with autonomous agents (CrewAI, AutoGen, Swarm libraries) - Exposure to vector databases - Knowledge of reinforcement learningWho 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.