Job title: Generative AI Trainer (Python, LLM, RAG) Employment type: Contract Workplace type: Remote

Location:
India About Ivy Professional School Ivy Skilled School has trained working professionals in data science and AI since 2008. In 18+ years we have built a community of 37,500+ alumni and a faculty network of 400+ trainers, and our learners have been hired by 500+ companies. Ivy is recognised by MeitY. We also run AI upskilling and implementation programmes for enterprise teams.

About the role
We are looking for a Generative AI practitioner to deliver our 20-week Advanced GenAI programme online. The course is hands-on and code-heavy. Each module ends with a project, and the programme closes with a deployed capstone. You will teach working professionals to build, evaluate and deploy LLM applications, not just use AI tools. This role suits someone who builds GenAI systems at work and enjoys teaching. You do not need to have taught full-time before, but you must have built what you will be teaching. What you will teach
• GenAI foundations: LLM landscape, Python environments, APIs, JSON, GitHub workflows
• LLMs and prompt engineering: tokenization, generation parameters, system prompts, function calling, structured output, cost estimation
• AI-assisted development: GitHub Copilot (Ask, Plan and Agent modes), Claude API with the Anthropic SDK, Flask-based chatbot builds
• Hugging Face and fine-tuning: Transformers, PEFT, LoRA/QLoRA, quantization, evaluation with BLEU, ROUGE and perplexity
• RAG systems: chunking, embeddings, FAISS, Qdrant and Pinecone, hybrid search with BM25, re-ranking, RAG evaluation,



LlamaIndex
• Agents: LangChain, LCEL, memory, custom tools, ReAct agents, LangGraph, multi-agent patterns
• Multimodal AI: vision-language models, OCR and document parsing, Stable Diffusion, Whisper, text-to-speech
• Deployment: FastAPI, Docker, Hugging Face Spaces, MLflow, LangSmith What you will do
• Deliver live online sessions and build each concept in code in front of learners
• Guide learners through module projects and the capstone, and review their code
• Help learners debug their environments and code, during and after sessions
• Keep labs and examples current as tools and APIs change
• Track batch progress against the course plan and share updates with the programme team Must have
• Strong Python, including APIs, Flask or FastAPI
• [4+] years in software, data or ML engineering, with at least [1 to 2] years of hands-on LLM application work
• At least one RAG or agent-based application you have built and deployed
• Working knowledge of LangChain or LlamaIndex, vector databases, and LLM APIs (OpenAI, Anthropic)
• Hands-on experience fine-tuning open-source models with Hugging Face and LoRA/QLoRA
• Clear spoken English and the patience to explain one concept in more than one way
• A stable internet connection and a setup suitable for live online teaching Good to have
• Experience teaching or mentoring working professionals
• Multimodal project experience (vision, speech or image generation)
• Docker and deployment monitoring (MLflow, LangSmith)

How to apply
Fill in the short form using the Apply link.

📌 Generative AI Trainer (Kolkata)
🏢 Ivy Professional School
📍 Kolkata