Job Title: Gen AI Technical Trainer – Full-Time Location: Annamacharya University, Rajampet, Andhra Pradesh

Employment Type: Full-Time

About the Role

We are looking for a skilled and passionate Generative AI Technical Trainer to train B.Tech students at Annamacharya University. The candidate should have strong technical knowledge of Generative AI and practical experience in AI/ML technologies.

Key Responsibilities

Deliver classroom training on Generative AI and Artificial Intelligence concepts.

Teach topics such as Generative AI, LLMs, Prompt Engineering, RAG, AI Agents, NLP, and Machine Learning .

Provide hands-on training through coding exercises, projects, and real-world use cases.

Design and deliver technical demonstrations, assignments, and assessments.

Guide students in developing AI-based projects and applications.

Explain complex technical concepts in a simple and practical manner.

Keep students updated with the latest developments and tools in Generative AI.

Evaluate student performance and provide feedback.

Collaborate with the academic team to support the university's training requirements.

Required Skills





Strong knowledge of Generative AI and AI/ML .

Good understanding of Python and relevant AI/ML libraries.

Knowledge of LLMs, Prompt Engineering, RAG, LangChain/LangGraph, and AI Agents .

Understanding of NLP, Machine Learning, Deep Learning, and APIs .

Hands-on experience in developing AI/Gen AI projects.

Excellent communication and presentation skills.

Ability to engage and effectively train B.Tech students.

Eligibility

- Bachelor's or Master's degree in Computer Science, IT, AI/ML, Data Science , or a related field.
- 2+ years of relevant industry/training experience preferred.
- Candidates with strong practical Gen AI project experience and excellent technical skills may also be considered.

What We Offer

Full time opportunity at Annamacharya University, Rajampet .

Opportunity to work directly with B.Tech students and contribute to their technical development.

Professional and academic learning environment.

Salary will be discussed based on skills, experience, and interview performance .

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