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Role Description

We are seeking experienced Generative AI Trainers to deliver live online training sessions covering modern generative models, LLMs, LangChain, RAG, and prompt engineering with hands-on demos and projects.

• Deliver live, instructor-led online classes
• Conduct hands-on demos, guided practices, and projects
• Explain concepts using real-world use cases
• Address learner queries and ensure engagement

Qualifications

• 10+ years of experience in Generative AI / NLP / LLMs
• Strong proficiency in Python, LLM frameworks, and LangChain
• Prior online or classroom training experience

Requirements

• Generative AI model types and applications
• VAEs and GANs (architecture, use cases, limitations)
• Transformer-based models and attention mechanisms
• Self-attention and multi-head attention
• Language models fundamentals and applications
• Large Language Models (architecture, training, operations, types)
• Retrieval-Augmented Generation (RAG) concepts, components, retrievers, and workflows
• Real-world applications of RAG
• LangChain architecture and core components
• Building applications using LangChain
• Prompt fundamentals and optimization
• Zero-shot, few-shot, CoT, Self-Consistency, ToT prompting
• Prompt templates and LangChain prompts
• Model I/O (prompts, LLMs, output parsers)
• Document loaders (CSV, PDF, HTML, JSON, Markdown)
• Text splitters and embeddings in GenAI

Benefits

• Part-Time Instructors are hourly, non-exempt employees compensated for all time worked
• Part-time Instructors can expect to work approximately 8-10 hours per week
• Expected compensation is $50 per hour for candidates who fulfill the qualifications for the role