AI Automation Internship

Design and build smart automation workflows using n8n, Zapier, and Make.com. Integrate APIs and connect third-party apps to streamline business processes. Utilize LLMs (e.g., OpenAI, Cohere) for tasks like summarization, data extraction, and decision logic. Create RAG pipelines utilizing vector databases such as Pinecone, ChromaDB, or Weaviate. Develop and test autonomous agents using LangChain, AutoGen, or similar frameworks. Write clean, modular code in Python or JavaScript to support custom workflow logic. Prototype ideas quickly and deploy real features used in production environments. Document workflows thoroughly and collaborate with developers, consultants, and product teams. Key Skills: Final-year students in Computer Science, AI/ML, Data Science, Information Systems, or related fields, who are willing to work full time after the internship. Curiosity & Initiative are essential you enjoy experimenting with new tools/technologies and are unafraid to break things to learn. Possess Basic to Intermediate Coding Skills and are comfortable with writing Python or JavaScript/TypeScript. Able to read API docs and write modular code. Familiarity (or willingness to learn) with Workflow Platforms such as n8n, Zapier, Make.com, or similar; if you haven't used n8n yet, assistance will be provided for onboarding. Knowledge of APIs, including understanding of RESTful APIs, JSON, and authentication mechanisms. Interest in AI/LLMs familiarity with LLMs basics or eagerness to dive into prompt engineering, embeddings, and RAG concepts. Problem-Solving Mindset ability to break down complex tasks into smaller steps, map flows, and anticipate edge cases. Strong Communication & Documentation skills capable of explaining workflows, documenting steps, and writing clean README/instructions. A Team Player open to feedback, collaboration in agile/scrum-like setups, and assisting peers in troubleshooting.,