Generative AI & Agentic AI Trainer
Naresh i Technologies
Hyderabad, Telangana, IndiaFresher1h agovia LinkedIn
About the Role
The Generative AI / Agentic AI Trainer will design and deliver training programs on modern AI topics to students and corporate participants. This is a full-time, on-site role based at the Hyderabad campus.
Key Responsibilities
- Prepare curriculum and learning materials for AI training programs.
- Create hands-on labs and projects related to AI.
- Conduct classroom and lab sessions on topics including large language models, generative AI tools, and agentic AI workflows.
- Mentor learners on real-world AI applications and best practices.
- Evaluate learner performance and provide constructive feedback.
- Continuously update course content to reflect emerging trends and tools in AI.
- Collaborate with other trainers and academic coordinators to organize workshops, bootcamps, and internships.
- Provide occasional support for demo classes and online sessions.
Requirements & Tech Stack
- Python
- PyTorch or TensorFlow
- OpenAI / similar APIs
- Vector databases
- MLOps or deployment platforms
Qualifications
- Strong foundation in AI/ML concepts, including neural networks, large language models, generative AI techniques, and agent-based systems.
- Hands-on experience with AI frameworks and tools.
- Practical exposure to building AI applications such as chatbots, RAG systems, automation agents, and content generation tools.
- Ability to integrate AI applications with web or backend services.
- Demonstrated ability to design curricula, create training materials, and deliver clear, structured classroom and lab sessions.
- Excellent communication, presentation, and mentoring skills.
- Ability to explain complex concepts to learners at different skill levels.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
- Experience as a trainer, instructor, or corporate mentor in software development or AI education is highly preferred.
- Comfort working in an on-site, classroom-based environment.
- Ability to collaborate with academic coordinators and placement teams.