Job Summary
We are seeking a highly skilled and passionate Generative AI Trainer to design, develop, and deliver training programs on Generative AI technologies, Large Language Models (LLMs), Prompt Engineering, AI Agents, Retrieval-Augmented Generation (RAG), and AI-powered business solutions. The ideal candidate should possess strong technical expertise, hands-on experience with GenAI tools, and the ability to simplify complex concepts for diverse audiences.
Key Responsibilities
- Design and deliver instructor-led and virtual training programs on Generative AI concepts and applications.
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Conduct hands-on workshops covering:
- Large Language Models (LLMs)
- Prompt Engineering
- AI Agents and Agentic Workflows
- RAG Architecture
- Fine-tuning and Model Evaluation
- Responsible AI and AI Governance
- Create training content, presentations, labs, assessments, and learning materials.
- Develop real-world use cases and capstone projects for learners.
- Train technical and non-technical audiences on AI adoption and business transformation.
- Stay updated with the latest advancements in GenAI, LLMs, and AI ecosystems.
- Assess learner progress and provide coaching and mentorship.
- Collaborate with stakeholders to customize training programs based on business requirements.
Required Technical Skills
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Strong understanding of:
- Generative AI Fundamentals
- Transformer Architecture
- Large Language Models (GPT, Gemini, Claude, Llama)
- Prompt Engineering Techniques
- RAG Pipelines
- AI Agents and Multi-Agent Systems
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Hands-on experience with:
- Python
- LangChain / LangGraph
- Hugging Face
- OpenAI APIs
- Vector Databases (FAISS, Pinecone, Weaviate)
- PyTorch or TensorFlow
- Knowledge of model fine-tuning, evaluation, and deployment.
- Experience with cloud platforms (Azure, AWS, or GCP) is preferred.