GenAI Trainee

L&T’s interview process typically starts with a timed online aptitude test that assesses logical, quantitative, and verbal abilities. Shortlisted candidates face a technical interview focusing on AI/ML fundamentals, Python coding, and project experience, followed by an HR round that evaluates cultural fit and communication. The overall difficulty is moderate; thorough preparation of core concepts and problem‑solving practice greatly improves chances.

L&T is known for a structured work environment that balances challenging projects with employee development. The company emphasizes safety, ethical practices, and offers ample learning resources, mentorship, and clear promotion pathways. Employees often report a collaborative atmosphere with a good work‑life balance, especially in technology hubs like the Innovation Campus.

• Bachelor of Technology (B.Tech) or Master of Technology (M.Tech) in Computer Science, Electronics, Electrical, Information Technology or related engineering streams. • Minimum aggregate 60% (or CGPA equivalent) in the qualifying degree. • Fresh graduates or candidates with up to 2 years of relevant experience. • No active backlogs at the time of application. • Graduation batch years 2024, 2025, 2026 or 2027 are acceptable. • Strong interest in AI/ML, Generative AI, and Computer Vision. • Good communication skills in English.

Round 1: Online Aptitude Test (Logical Reasoning, Quantitative Aptitude, Verbal) → Round 2: Technical Interview (AI/ML concepts, coding, project discussion) → Round 3: HR Interview (fitment, motivation, communication)

Larsen & Toubro (L&T) is one of India’s largest engineering conglomerates, operating across infrastructure, construction, manufacturing, technology and digital services. With a legacy spanning over eight decades, L&T has built a reputation for delivering complex, high‑value projects worldwide while fostering a culture of innovation and continuous learning. The company’s Precision Engineering & Systems division focuses on cutting‑edge technologies, and its Innovation Campus in Powai, Mumbai, serves as a hub for research, product development, and emerging‑tech initiatives. The GenAI Trainee role is designed for fresh engineering graduates (B.Tech/M.Tech) who are passionate about Artificial Intelligence, Machine Learning, Generative AI, and Computer Vision. As a trainee, you will work alongside senior AI engineers and data scientists, gaining hands‑on experience in the entire AI lifecycle—from data collection and preprocessing to model development, evaluation, and deployment. The position offers exposure to large language models (LLMs), Retrieval‑Augmented Generation (RAG), prompt engineering, and cloud‑based AI services, making it an ideal launchpad for a career in the rapidly evolving AI domain. **Key Responsibilities** 1. Collect, cleanse, and preprocess structured and unstructured datasets for AI projects. 2. Assist in designing, training, and fine‑tuning machine‑learning and deep‑learning models. 3. Perform feature engineering, model tuning, and performance optimization. 4. Develop applications using Large Language Models, including prompt engineering and RAG solutions. 5. Build and test AI‑powered chatbots, virtual assistants, and content‑generation tools. 6. Create computer‑vision pipelines for image/video analytics, object detection, segmentation, and OCR. 7. Conduct exploratory data analysis, visualizations, and dashboard creation. 8. Support integration of AI models into web, mobile, and enterprise applications via APIs and micro‑services. 9. Document model training, evaluation procedures, and maintain responsible‑AI compliance. 10. Stay updated with the latest research in AI, propose PoCs, and contribute ideas in hackathons and innovation forums. **Tech Stack**: Python, TensorFlow, PyTorch, OpenCV, YOLO, Hugging Face Transformers, LangChain, REST APIs, Git, Docker, AWS/GCP AI services. **Growth Path**: Successful trainees can progress to roles such as AI Engineer, Machine Learning Engineer, Generative AI Engineer, Computer Vision Engineer, or Data Scientist within L&T’s technology ecosystem. The company encourages internal mobility, continuous upskilling, and mentorship programs. **Why Join L&T?** L&T offers a stable, globally recognized brand, access to large‑scale real‑world projects, and a collaborative environment that values innovation. Freshers get the chance to work on state‑of‑the‑art AI solutions while receiving structured training, mentorship, and clear career progression pathways.