GenAI Intern

**Hiring for GenAI Intern** We are looking for a GenAI Intern with strong experience in LLM-based systems, Retrieval-Augmented Generation (RAG) and structured data integration. The ideal candidate has hands-on experience building production-grade AI chatbots that combine LLMs, databases, vector stores and guardrails, especially in healthcare or sensitive data environments. As **GenAI Intern**, you will work on developing and fine-tuning advanced AI models, exploring GenAI, LLMs, Deep Learning applications. You will gain hands-on experience with state-of-the-art AI tools and frameworks while working alongside experienced AI professionals. Location: Pune, India **Key Responsibilities :** * Design and build LLM-powered chatbots using structured (SQL/NoSQL) and unstructured data. * Implement intent classification, guardrails and safe response generation * Build hybrid AI pipelines combining: * Databases (MySQL/PostgreSQL or equivalents) * Vector databases (Qdrant, Pinecone, Weaviate, etc.) * LLMs (OpenAI, LLaMA, Mistral, etc.) * Ensure accurate, deterministic handling of factual queries (counts, dates, records) * Implement RAG pipelines for summarization and semantic retrieval (not for factual counting) * Design non-SQL abstractions (API layers, event indexes, knowledge graphs when needed) * Debug hallucination, incorrect counts, and reasoning failures in LLM outputs * Implement observability, logging, evaluation, and regression testing for GenAI systems * Collaborate with backend, frontend, and product teams * Explain technical decisions clearly to non-AI stakeholders **Required Technical SkillsCore GenAI \& LLM** * Strong experience with **LLMs** (LLaMA, Mistral, Claude, etc.) * Prompt engineering for: * System prompts * Intent classification * Tool/function calling * Safety \& refusal handling * Understanding of **LLM limitations** (hallucinations, counting errors, reasoning limits) RAG \& Embeddings * Hands-on experience with **RAG architectures** * Embedding models (e.g., BGE, E5, OpenAI embeddings) * Vector databases: * Qdrant (preferred) * Pinecone / Weaviate / FAISS * Ability to decide **when NOT to use vector search** Backend \& Data * Strong backend experience with **Python** * Experience with **Flask / FastAPI** * Working knowledge of: * SQL (MySQL/PostgreSQL) OR structured alternatives * Data modeling for event-based systems * Experience building **API layers** over data sources System Design * Intent-based routing (COUNT, HISTORY, SUMMARY, OUT\_OF\_SCOPE, etc.) * Guardrails, policy enforcement and validation layers * Caching, performance optimization and scalability. **Who Can Apply?** We are looking for candidates who: ✅ Are available for a **6-month internship**. ✅ Have completed projects in **GenAI, LLM, Langchain, AI and NLP** ✅ Have a strong understanding of **LLMs, Transformers, NLP** ✅ Are proficient in **Python, SQL** ✅ Are passionate about AI and eager to learn and innovate. **Perks \& Benefits:** * Stipend - INR 5K-10K * Certificate \& Letter of Recommendation upon completion. * Flexible Work Hours – Work at your convenience. * Exposure to Cutting-Edge AI Technologies. * Collaborative Learning Environment with industry experts. **Nice-to-Have (Bonus Skills)** * Knowledge graphs (Neo4j, RDF, etc.) * LLM evaluation frameworks * Multi-agent systems * CI/CD for AI systems, DevOps * Model observability \& monitoring **What We Value Most** * Ability to debug and explain failures * Ownership mindset * Clear thinking over hype * Knowing **when not to use LLMs** * Strong fundamentals in data \& system design Experience Level : you must have good experience for hands-on with GenAI / LLM systems **How to Apply?** : If you are interested in this exciting opportunity, send your **resume** to **[email protected]** with the subject line **"Application for GenAI Internship – Ai India"**. with (Optional) GitHub / blog / architecture diagrams. Thank you! Job Type: Internship Pay: ₹5,000\.00 - ₹15,000\.00 per month Application Question(s): * Which of the following AI frameworks have you used? TensorFlow PyTorch Hugging Face Transformers LangChain OpenCV YOLO * Do you have experience working with Generative AI models? * Have you worked on projects involving Deep Learning and Computer Vision? Work Location: In person