Junior Agentic AI Trainer

Role overview

We are looking for a Junior Agentic AI Trainer to train students and early-career professionals on Generative AI, Agentic AI workflows, and practical AI tools. The trainer will deliver engaging sessions, support hands-on projects, and work closely with the senior training team to improve curriculum and learning outcomes.​

Key responsibilities

• Deliver classroom and online training sessions on GenAI concepts, Agentic AI, LLMs, prompt engineering, and AI tooling as per the defined curriculum.​
• Guide learners through hands-on labs, mini-projects, and capstone projects using popular AI frameworks, APIs, and no-code/low-code tools.​
• Assist in creating, updating, and localizing training content: slides, demos, assignments, quizzes, and reference material.​
• Support assessments, evaluate learner performance, give constructive feedback, and maintain training reports and attendance.​
• Collaborate with senior trainers, academic partners, and internal stakeholders to continuously enhance course quality and learner engagement.​
• Stay updated with the latest trends in GenAI, Agentic frameworks, and AI tooling, and suggest new topics or use cases for the curriculum.​

Required skills and qualifications

• Bachelor’s degree in Computer Science, IT, AI/ML, Data Science, or related field. Freshers with strong projects or internships in AI are welcome; up to 2 years of relevant experience preferred.​
• Basic understanding of Machine Learning, LLMs, and Generative AI (text, image, or code generation) with hands-on exposure to at least one platform (OpenAI, Gemini, Claude, etc.).​
• Familiarity with Agentic AI concepts such as tools, function calling, workflows, RAG, and simple automations using agents or AI orchestration tools.
• Good programming or scripting skills in Python or JavaScript will be an added advantage.​
• Strong communication, presentation, and classroom-handling skills with the ability to simplify complex technical topics for beginners.​
• Comfortable using LMS platforms, online meeting tools, and collaborative tools for content delivery and learner management.​

Preferred / nice-to-have

• Prior experience as a trainer, teaching assistant, mentor, or corporate faculty (even internships or part-time roles).​
• Experience building small GenAI or agent projects (chatbots, automation agents, AI-powered apps) showcased via GitHub or portfolio.
• Exposure to cloud platforms (AWS, Azure, GCP) or MLOps / AI deployment basics.​

How to apply

Interested candidates can share their updated resume to 91389 81888

Job Type: Contractual / Temporary
Contract length: 2 months

Work Location: In person