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 solid 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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