Junior Technical Trainer – Python & GenAI

Revature’s interview process typically starts with an online aptitude and coding test lasting 60 minutes, followed by a technical interview focusing on Python syntax, data structures, and basic AI concepts. The final HR round discusses the 36‑month service agreement, cultural fit, and growth expectations. Preparation should include hands‑on Python projects and a clear understanding of generative AI fundamentals.

Revature promotes a learning‑first culture where employees are encouraged to upskill continuously through internal bootcamps and external certifications. The company offers a balanced work‑life environment with flexible timings and a clear roadmap for career advancement.

• M.E., M.Tech, or MCA degree • Branch: Computer Science, Information Technology, ECE, or related • Graduating batch: 2025 or 2026 • Minimum 70% marks or 7 CGPA • No active arrears or backlogs • Strong fundamentals in Python programming • Interest in Generative AI and prompt engineering • Good communication and presentation skills • Willingness to sign a 36‑month service agreement

Round 1: Online Aptitude & Coding Assessment → Round 2: Technical Interview (Python & AI concepts) → Round 3: HR Interview (service agreement, cultural fit)

Revature is a global talent development company that partners with leading enterprises to build high‑performing technology teams. Established in 2004, Revature focuses on up‑skilling fresh engineering graduates through intensive, project‑based training programs and then deploying them as full‑time consultants. With a strong presence in India, Revature’s Chennai hub serves as a strategic center for delivering cutting‑edge training in emerging technologies such as Python, cloud platforms, and Generative AI. The company prides itself on a culture of continuous learning, mentorship, and rapid career progression, offering a clear pathway from trainee to senior technical roles within a short span of time. The Junior Technical Trainer – Python & GenAI role is an entry‑level, full‑time position designed specifically for fresh graduates who have a solid foundation in Python and a keen interest in Generative AI. As a trainer, you will be responsible for delivering Revature’s internal curriculum to cohorts of aspiring developers, simplifying complex concepts, and guiding learners through hands‑on projects that simulate real‑world software development scenarios. You will work closely with senior trainers and curriculum designers to keep the training material up‑to‑date with the latest advancements in Large Language Models, prompt engineering, and AI‑driven application development. Key responsibilities include: 1. Conducting instructor‑led sessions on Python fundamentals, data structures, and OOP concepts. 2. Delivering workshops on Generative AI, LLM basics, and prompt‑engineering techniques. 3. Designing and demonstrating practical coding exercises and mini‑projects. 4. Providing one‑on‑one mentorship, answering technical queries, and offering constructive feedback. 5. Assessing trainee performance through quizzes, coding assignments, and mock presentations. 6. Assisting learners in preparing for technical interviews and real‑world project demos. 7. Continuously updating training content to reflect industry trends and new AI tools. 8. Collaborating with the curriculum team to develop new modules and learning resources. 9. Maintaining a positive, inclusive classroom environment that encourages active participation. 10. Tracking learner progress and reporting metrics to senior management. Tech Stack: Python 3.x, Jupyter Notebook, Git, Docker, OpenAI APIs, LangChain, basic cloud services (AWS/GCP), SQL/NoSQL basics. Growth Path: Revature offers a structured three‑year progression – starting as a Junior Trainer, moving to Junior Co‑Trainer, and eventually becoming a full‑fledged Technical Trainer or AI Curriculum Lead. High performers can also transition into project delivery roles, solution architecture, or product development within Revature’s client ecosystem. Why join Revature? The role provides early exposure to high‑impact AI technologies, a supportive mentorship culture, and a fast‑track career ladder that is rare for fresh graduates. You will build both technical expertise and soft‑skill mastery—public speaking, curriculum design, and stakeholder management—making you a versatile professional ready for future leadership roles in tech education or AI engineering.