Duration : 11 months
Eligibility : Final year students or recent graduates in Computer Science, AI / ML, Data Science, or equivalent
About The Role
We are looking for a passionate and self-motivated AI Intern to support our ongoing projects in artificial intelligence, machine learning, and data analytics within the Google Cloud Platform (GCP) ecosystem. The ideal candidate will collaborate with engineering and product teams to design, develop, and test AI-powered solutions using tools like Vertex AI, BigQuery, AutoML , and other GCP-native services.
Our current focus is the development of an advanced chatbot and document generation platform capable of interpreting and generating content in various formats, including text, tables, and flowcharts . The solution is built on Google Cloud Platform (GCP) and integrates with LLM-based workflows . As an AI Intern, you will support the design and implementation of AI services such as retrieval-augmented generation (RAG) , structured content generation , and workflow automation .
Key Responsibilities
- Develop and fine-tune prompt chains for chatbot and content generation workflows using Vertex AI / Gemini APIs
- Assist in implementing Retrieval-Augmented Generation (RAG) pipelines to ground LLM outputs on company data
- Support flowchart and structured table generation using AI (e.g., diagrams.net JSON or Mermaid format)
- Automate data and prompt workflows using N8N or similar no-code / low-code orchestration tools
- Work with structured (tables, JSON) and unstructured (text, PDF) content formats
- Contribute to basic evaluations and improvements of chatbot responses
- Document your work, findings, and results for reproducibility and future scaling
Required Skills
Basic programming knowledge in PythonUnderstanding of prompt engineering and generative AI conceptsExposure to LLMs (like Gemini, Claude, GPT-4) for chatbot and content generationPractical experience or coursework with TensorFlow or PyTorchAbility to work with structured data (e.g., tables in pandas, JSON, CSV)Strong curiosity, willingness to learn, and ability to take initiativeNice To Have (or Will Learn During Internship)
Experience with RAG (Retrieval-Augmented Generation) using tools like LangChain or LlamaIndexExposure to Agentic AI frameworks (e.g., OpenAI agents, CrewAI, LangGraph) for tool-assisted task handlingFamiliarity with Mermaid.js or diagrams.net JSON format for flowchart generationFamiliarity with Google Cloud Platform (GCP) services like Vertex AI, BigQuery, Cloud StorageWorkflow automation experience with N8N, Zapier, or Cloud WorkflowsBasic front-end integration using Streamlit or React (optional)What You'll Learn
Practical implementation of LLM pipelines in a real-world business environmentHow to design and evaluate prompt flows for accuracy and usabilityStructured document and flowchart generation using generative modelsReal-world exposure to AI / ML projects using cutting-edge GCP toolsOpportunity to contribute to scalable and production-grade AI systemsSkills Required
Tensorflow, BigQuery, Pandas, Pytorch, Csv, Json, Python