ViNi Tech is looking for a technically solid and passionate Generative AI, RAG & Agentic AI Trainer to deliver hands-on, industry-oriented training at our client's site in Lucknow.
The trainer will work with B.Tech students across multiple semesters and will be responsible for taking learners progressively from AI & Generative AI fundamentals to Prompt Engineering, LLM APIs, AI Application Development, RAG, Agentic AI and Enterprise AI.
The role requires strong technical knowledge along with the ability to explain concepts clearly, conduct live coding sessions, mentor projects, and guide students through practical implementation.
Key Technical Requirements
Generative AI & LLMs
Robust understanding of Generative AI and LLM concepts.
AI vs ML vs DL fundamentals.
Transformers, tokens, context windows and embeddings.
Understanding of LLM hallucinations and responsible AI.
Practical understanding of AI ethics and responsible AI.
Prompt Engineering
Prompt anatomy and design.
Zero-shot, one-shot and few-shot prompting.
Role prompting.
Prompt evaluation and prompt libraries.
Advanced prompting techniques including ReAct, Chain-of-Thought concepts, Tree of Thoughts and Self-Consistency.
LLM APIs & AI Integration
Hands-on experience with:
OpenAI APIs
Gemini APIs
Hugging Face
Python SDKs
JSON
Function / Tool Calling
Structured Outputs
REST APIs
AI Application Development
Robust practical knowledge of:
Python
FastAPI
Streamlit
Gradio
REST API development
Authentication
Application deployment basics
Version control / Git
The candidate should be capable of building and demonstrating end-to-end AI applications.