Generative AI Training Engineer Internship

About Examate Examate is an industry-oriented technical training and placement preparation organization dedicated to helping engineering students develop essential technical skills, problem-solving abilities, and professional competencies. We collaborate with engineering colleges and educational institutions to deliver structured training programs covering programming, emerging technologies, technical assessments, interview preparation, and placement readiness. Our mission is to bridge the gap between academic learning and industry expectations by providing practical, career-focused technical education. Job Overview We are looking for enthusiastic, technically proficient, and passionate individuals to join our team as Generative AI Training Engineer Interns. Selected candidates will be responsible for delivering technical training sessions, mentoring engineering students, conducting practical demonstrations, and helping students develop industry-relevant technical competencies. Candidates should have a good understanding of Python Programming, Generative AI, Large Language Models (LLMs), Prompt Engineering, and AI applications, along with excellent communication skills and a genuine passion for teaching and mentoring. This opportunity is open to final-year B.Tech/B.E. students and engineering graduates interested in building careers in technical training, mentoring, and Generative AI. This is a 3-month paid internship with an opportunity for full-time employment based on performance. Roles & Responsibilities • Deliver approximately 6 hours of technical training sessions per day to engineering students. • Teach Python, Generative AI, Large Language Models (LLMs), Prompt Engineering, and related AI technologies based on the assigned curriculum. • Explain technical concepts clearly through interactive sessions, practical examples, and live demonstrations. • Conduct hands-on coding sessions and guide students in developing AI-powered applications and mini-projects. • Introduce practical concepts such as RAG, vector databases, and Agentic AI, as required by the curriculum. • Conduct assessments, clarify technical doubts, and monitor student learning progress. • Prepare training materials, assignments, presentations, and practical coding exercises. • Coordinate with Examate's training team, complete the assigned syllabus on time, and maintain professional classroom standards. Required Technical Skills • Python Programming: Strong understanding of Python fundamentals, OOP, programming logic, and problem-solving. • AI & Machine Learning: Basic knowledge of Artificial Intelligence, Machine Learning, Deep Learning, and Natural Language Processing (NLP). • Generative AI & LLMs: Understanding of Generative AI, Large Language Models, Transformer fundamentals, tokens, and embeddings. • Prompt Engineering: Knowledge of prompting techniques, prompt optimization, and effective LLM interactions. • LLM APIs: Basic understanding of API integration and building AI-powered applications. • Problem-Solving: Good programming, debugging, analytical, and logical thinking skills. Preferred / Additional Technical Skills Knowledge or practical exposure to the following will be an added advantage: • Retrieval-Augmented Generation (RAG) and vector databases. • LangChain, LlamaIndex, or similar GenAI frameworks. • Agentic AI, AI agents, and tool-calling workflows. • Hugging Face and open-source AI models. • Streamlit, Gradio, FastAPI, Git, and GitHub. • Hands-on AI projects such as chatbots, AI assistants, or document-based question-answering systems. Note: Advanced knowledge of every technology is not mandatory. Candidates with strong fundamentals, practical understanding, and the ability to learn and teach effectively are encouraged to apply. Eligibility Criteria • Final-year B.Tech/B.E. students and engineering graduates are eligible to apply. • Candidates from CSE, IT, AI & ML, Data Science, and related technical backgrounds are preferred. • Freshers with strong technical knowledge and good communication skills are encouraged to apply. • Good understanding of Python Programming and Generative AI fundamentals. • Strong analytical thinking, logical reasoning, and problem-solving abilities. • Excellent communication, presentation, and interpersonal skills. • Genuine interest and enthusiasm for teaching, training, and mentoring engineering students. • Ability to simplify technical concepts and explain them effectively to beginners. • Willingness to work six days per week and handle assigned technical training sessions. • Willingness to travel or relocate to assigned training locations based on company requirements. • Previous teaching or mentoring experience is an added advantage but is not mandatory. Preferred Candidate Profile We are looking for candidates who demonstrate: • A genuine passion for teaching and mentoring students. • Strong technical fundamentals and practical programming skills. • Excellent verbal communication and presentation abilities. • Confidence in explaining technical concepts to students. • Patience in addressing doubts and supporting student development. • Ability to independently deliver structured training sessions. • Professional attitude, punctuality, accountability, and teamwork. • Willingness to learn emerging technologies and continuously upgrade technical knowledge. Candidates who demonstrate both strong technical knowledge and effective teaching abilities will be given preference. Internship Details • Company: Examate • Position: Generative AI Training Engineer Intern • Opportunity Type: Paid Internship with Full-Time Employment Opportunity • Internship Duration: 3 Months • Monthly Stipend: ₹20,000–₹30,000 (based on performance and evaluation) • Working Days: 6 Days per Week • Daily Engagement: Approximately 6 Teaching Hours • Work Mode: On-site • Work Location: Assigned Training Locations / Partner Engineering Colleges • Eligible Candidates: Final-year B.Tech/B.E. students and engineering graduates • Employment Opportunity: Full-time employment consideration based on performance following successful internship completion. Benefits & Perks • Paid Internship: Monthly stipend of ₹20,000–₹30,000, based on performance and company policies. • Accommodation Facilities: Accommodation support will be provided as per company arrangements. • Food Facilities: Food support during the internship, as applicable. • Travel Support: Travel assistance for assigned training locations according to company policy. • Practical Industry Exposure: Gain hands-on experience in Generative AI, LLMs, Prompt Engineering, and AI application development. • Professional Teaching Experience: Opportunity to train and mentor engineering students in industry-relevant technologies. • Technical Skill Development: Strengthen technical expertise through practical implementation, training preparation, and continuous learning. • Communication & Leadership Development: Improve presentation skills, classroom management, communication, and professional confidence. • Career Development: Gain experience in technical training, mentoring, and emerging AI technologies. • Full-Time Employment Opportunity: High-performing interns may be considered for full-time roles at Examate based on performance and organizational requirements. Recruitment & Selection Process The recruitment process consists of two screening rounds designed to evaluate candidates' technical knowledge, communication skills, and suitability for technical training and mentoring responsibilities. Round 1 – Technical Interview Candidates will undergo a technical interview to evaluate their understanding of Generative AI and related technologies. Evaluation Areas: • Python Programming fundamentals. • Artificial Intelligence and Machine Learning concepts. • Generative AI and Large Language Models (LLMs). • Prompt Engineering and LLM APIs.…