Agentic AI Trainer

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.
• Good 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] / 8925831879

Work Location: Remote