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

Job Description & Key Responsibilities
Larsen & Toubro (L&T) is one of Indiaβs 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, highβvalue projects worldwide while fostering a culture of innovation and continuous learning. The companyβs Precision Engineering & Systems division focuses on cuttingβedge technologies, and its Innovation Campus in Powai, Mumbai, serves as a hub for research, product development, and emergingβtech 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 handsβon experience in the entire AI lifecycleβfrom data collection and preprocessing to model development, evaluation, and deployment. The position offers exposure to large language models (LLMs), RetrievalβAugmented Generation (RAG), prompt engineering, and cloudβbased 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 fineβtuning machineβlearning and deepβlearning 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 AIβpowered chatbots, virtual assistants, and contentβgeneration tools.
6. Create computerβvision 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 microβservices.
9. Document model training, evaluation procedures, and maintain responsibleβAI 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&Tβs 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 largeβscale realβworld projects, and a collaborative environment that values innovation. Freshers get the chance to work on stateβofβtheβart AI solutions while receiving structured training, mentorship, and clear career progression pathways.