Software Trainer

Zilaun Training Institute; Madurai District; On-site; INR 300,000 - 550,000; Full time

Job summary

Zilaun Training Institute in Tamil Nadu, Madurai District, seeks an experienced AI/ML and Generative AI Trainer. The role emphasizes practical classroom-based training, deep dives into LLMs, RAG pipelines, and agentic AI workflows, with hands-on coding and real-world project demonstrations.

You will teach AI foundations, modern GenAI concepts, and guide learners through building AI-enabled applications, covering prompt engineering, tool calling, and deployment practices across diverse projects.

Responsibilities

• Conduct practical, classroom-based AI/ML and Generative AI training
• Teach AI and ML fundamentals along with modern Generative AI concepts
• Provide hands-on experience with LLMs, RAG pipelines, AI Agents, and Agentic AI workflows
• Demonstrate how to build applications using modern LLM APIs and AI tools.Guide learners in building practical AI/LLM-based projects
• Explain prompt engineering, context management, tool calling, and agent workflows
• Demonstrate RAG implementation, including document ingestion, retrieval, embeddings, and response generation
• Explain and demonstrate Agentic Loops / AI Agent architectures
• Provide practical exposure to coding with modern AI-assisted development tools
• Guide students in debugging, improving, and deploying AI applications

Job description

Job Description

We are looking for an experienced and hands-on AI/ML & Generative AI Trainer. The ideal candidate should have strong practical experience in Artificial Intelligence, Machine Learning, Generative AI, LLMs, RAG, and AI Agents, with the ability to demonstrate concepts through real-world projects and hands-on coding.

Key Responsibilities

• Conduct practical, classroom-based AI/ML and Generative AI training
• Teach AI and ML fundamentals along with modern Generative AI concepts.
• Provide hands-on experience with LLMs, RAG pipelines, AI Agents, and Agentic AI workflows.
• Demonstrate how to build applications using modern LLM APIs and AI tools.Guide learners in building practical AI/LLM-based projects.
• Explain prompt engineering, context management, tool calling, and agent workflows.
• Demonstrate RAG implementation, including document ingestion, retrieval, embeddings, and response generation.
• Explain and demonstrate Agentic Loops / AI Agent architectures.
• Provide practical exposure to coding with modern AI-assisted development tools.
• Guide students in debugging, improving, and deploying AI applications.