Gen AI / Agentic AI trainer

A Generative AI (Gen AI) Trainer job description focuses on delivering technical instruction, designing curricula, and mentoring learners or fine-tuning models on concepts like Large Language Models and prompt engineering.

Key Responsibilities

• Training Delivery: Conduct live training sessions, coding workshops, and practical labs for students or corporate professionals.
• Curriculum Design: Create course materials, real-world case studies, hands-on assignments, and project guidelines.
• Core Topics Coverage: Teach Generative AI tools, Large Language Models (LLMs), Advanced Prompt Engineering, RAG, and Agentic AI workflows.
• Technical Mentoring: Guide learners through live projects, troubleshoot code, and evaluate performance progress

Required Skills & Qualifications

• Experience: Minimum 5+ years of background in AI/ML, data science, technical training, or L&D.
• Technical Stack: Strong command of Python and data libraries (NumPy, Pandas, Scikit-learn).
• AI Expertise: Practical familiarity with OpenAI APIs, Gemini, LangChain, vector databases, and agentic frameworks.
• Soft Skills: Excellent presentation, communication, and ability to simplify complex technical topics for diverse audiences.

An Agentic AI Trainer designs and delivers educational programs on autonomous and multi-agent systems, requiring skills in Python, LLM frameworks, and teaching.

Key Responsibilities

• Curriculum Design: Create course materials, hands-on labs, and real-world projects covering agent workflows.
• Training Delivery: Conduct interactive instructor-led classes, workshops, or corporate bootcamps (offline).
• Mentorship: Guide learners through debugging, practical implementations, and capstone projects.
• Content Updates: Stay current with emerging tools and update training paths regularly.

Required Skills & Tools

• Programming & Core: Advanced Python and fundamental machine learning/deep learning concepts.
• Frameworks: Experience with LangChain, LangGraph, CrewAI, AutoGen, or LlamaIndex.
• AI Ecosystem: OpenAI, Anthropic, or Hugging Face APIs, plus Retrieval-Augmented Generation (RAG) and multi-agent orchestration.
• Soft Skills: Excellent presentation, public speaking, and student mentoring abilities.