GenAI Trainee

Round 1: Online Aptitude Test → Round 2: Technical Interview (coding & AI concepts) → Round 3: HR Interview

L&T promotes a collaborative work culture that balances high performance with employee well‑being. The company offers structured learning programs, mentorship, and opportunities to work on cross‑functional projects, ensuring steady professional growth while maintaining a reasonable work‑life balance.

L&T’s interview process typically starts with a timed online aptitude test covering quantitative, logical, and verbal ability. Shortlisted candidates face a technical interview focusing on data structures, algorithms, and core AI concepts, often with live coding on a shared editor. The final HR round assesses cultural fit, communication skills, and career aspirations. Preparation should include mock tests, coding practice, and revisiting AI fundamentals.

B.Tech or M.Tech in Computer Science, Electronics, Electrical, Information Technology or related streams; minimum 60% aggregate (or CGPA 6.5/10); no active backlogs at the time of joining; batch years 2024‑2026; strong foundation in mathematics, algorithms, and programming.

Larsen & Toubro (L&T) is one of India’s largest multinational conglomerates, operating across engineering, construction, technology, and financial services. With a legacy of over 85 years, L&T has consistently driven innovation in infrastructure, manufacturing, and digital transformation. The company’s commitment to research and development is evident through its Innovation Campus in Powai, Mumbai, where cutting‑edge labs focus on artificial intelligence, robotics, and next‑generation manufacturing solutions. L&T’s AI division collaborates with global academia and industry partners to build scalable AI platforms that power smart cities, industrial automation, and predictive maintenance. The GenAI Trainee role is designed for fresh engineering graduates eager to dive deep into generative AI technologies. As a trainee, you will be part of a dynamic team that builds large language models, computer‑vision pipelines, and AI‑driven product prototypes. You will receive mentorship from senior AI scientists, get hands‑on exposure to cloud‑based ML pipelines, and contribute to real‑world projects that impact L&T’s core businesses. This position offers a fast‑track learning curve, blending theoretical knowledge with practical implementation in a high‑impact environment. Key Responsibilities: 1. Assist in designing, training, and fine‑tuning generative AI models for text, image, and multimodal applications. 2. Develop and maintain data pipelines for large‑scale dataset ingestion, preprocessing, and annotation. 3. Implement computer‑vision algorithms for defect detection, object tracking, and quality inspection. 4. Write clean, modular Python code using frameworks such as TensorFlow, PyTorch, and OpenCV. 5. Conduct experiments, analyze results, and document findings in technical reports. 6. Collaborate with cross‑functional teams including product managers, hardware engineers, and data scientists to translate business requirements into AI solutions. 7. Participate in code reviews, peer‑learning sessions, and internal hackathons. 8. Stay updated with the latest research papers and industry trends in generative AI and computer vision. 9. Contribute to the deployment of AI models on cloud platforms (AWS, Azure) and edge devices. 10. Support the creation of demo applications and proof‑of‑concepts for internal stakeholders. Tech Stack: Python, PyTorch, TensorFlow, Keras, OpenCV, CUDA, Docker, Kubernetes, AWS/Azure, Git, Linux. Growth Path: Successful trainees can progress to AI Engineer, Senior AI Engineer, and eventually AI Lead or Research Scientist roles within L&T’s AI & Technology division. The company encourages continuous learning through certifications, conferences, and internal research labs. Why Join L&T? L&T offers a stable, reputable platform with exposure to large‑scale industrial problems, a culture of innovation, and a clear career trajectory. Freshers get to work alongside seasoned professionals, access world‑class resources, and contribute to projects that shape India’s digital future.