Job Summary

We are looking for an experienced Agentic AI Trainer with strong hands-on experience in Generative AI, LLMs, Prompt Engineering and AI Agent development. The trainer should be able to deliver practical, industry-oriented training with real-time projects and hands-on implementation.

Technical Skills

- Generative AI & LLMs – LLM fundamentals, LLM APIs and AI applications
- Prompt Engineering – Prompt Design, Optimization, Structured Prompting and Evaluation
- AI Agents – Agent architecture, tool/function calling, workflows and multi-agent systems
- RAG – Retrieval-Augmented Generation, embeddings, vector databases and semantic search
- Agentic AI Frameworks – LangChain, LangGraph and LlamaIndex
- AI APIs – OpenAI, Gemini, Claude or similar LLM APIs
- Python – AI/LLM application development
- APIs & Integrations – REST APIs, JSON and external tool integration
- Automation – n8n / Make / Zapier for AI workflows
- Git/GitHub and basic deployment concepts

Key Responsibilities

- Deliver practical Agentic AI and Generative AI training.
- Conduct hands-on sessions on Prompt Engineering and AI Agent development.




- Build and explain real-world AI Agent and RAG applications.
- Train learners on LLM APIs, tool calling and AI workflows.
- Provide practical projects, assignments and real-time use cases.
- Guide learners in integrating AI agents with APIs, tools and automation platforms.
- Explain best practices for building and evaluating Agentic AI applications.

Requirements

- Strong hands-on experience in Generative AI / Agentic AI.
- Strong knowledge of Prompt Engineering and LLM applications.
- Practical experience building AI Agents and RAG-based applications.
- Positive knowledge of Python and LLM APIs.
- Experience with LangChain, LangGraph or similar frameworks.
- Ability to explain concepts through practical projects and real-time examples.
- Good communication and training skills.
- Industry/project experience is preferred.

Employment Type

Part-Time / Freelance – Online

Schedule

Weekdays: 1 hour/day | Weekends: 2 hours/day

Contact:
HR Manager - [email protected] / +91-XXXXXXXXXX

Work Location: Remote

📌 Agentic AI Trainer (India)
🏢 Getintech Education Private
📍 India