GenAI Trainee

The interview process for Larsen & Toubro (L&T) typically involves a series of technical and HR rounds. The technical rounds assess the candidate's knowledge and skills in AI and software development, while the HR rounds evaluate their communication and problem-solving skills. The interviewers may ask behavioral questions, technical questions, and case studies to assess the candidate's fit for the role.

Larsen & Toubro (L&T) has a strong culture of innovation and collaboration. The company encourages its employees to think creatively and develop new ideas. The work environment is dynamic and fast-paced, with opportunities for growth and development. The company also emphasizes work-life balance and provides various benefits and perks to its employees.

Bachelor of Technology (B.Tech) qualification. Master of Technology (M.Tech) qualification. 0–2 years of experience. Knowledge or interest in Machine Learning. Knowledge or interest in Artificial Intelligence. Knowledge or interest in Computer Vision.

Round 1: Technical Interview → Round 2: Technical Interview → Round 3: HR (based on company knowledge)

Larsen & Toubro (L&T) is a major Indian engineering and technology company with operations across engineering, construction, manufacturing, technology, and other industrial sectors. This GenAI Trainee position is part of the company's Precision Engineering & Systems business and focuses on emerging technologies including Artificial Intelligence, Machine Learning, Generative AI, and Computer Vision. The role provides exposure to Machine Learning, Deep Learning, Generative AI, Large Language Models, Retrieval-Augmented Generation (RAG), Computer Vision, data analytics, AI application development, and cloud-based AI solutions. The GenAI Trainee will assist in developing and evaluating Machine Learning and Artificial Intelligence solutions. Key activities include collecting, cleansing, preprocessing, and validating structured and unstructured datasets, supporting the design, development, training, and evaluation of machine learning and deep learning models, performing feature engineering and model tuning, supporting model performance optimization, conducting model validation, testing, benchmarking, and documentation, and assisting with deployment and monitoring of AI/ML models. A major component of the role involves working with Generative AI and Large Language Models (LLMs). Candidates will support activities such as developing applications using Large Language Models, working with multimodal AI models, prompt engineering and prompt optimization, evaluating LLM responses, working on Retrieval-Augmented Generation (RAG) solutions, supporting fine-tuning and model customization projects, developing and testing AI-powered chatbots and virtual assistants, developing content-generation solutions, evaluating AI outputs for quality, factual accuracy, safety, and compliance, and integrating Generative AI capabilities into enterprise applications through APIs and frameworks. The position also provides exposure to Computer Vision and image/video analytics. Responsibilities may include developing image and video analytics solutions, supporting object detection and image classification models, working with image segmentation and object tracking, supporting OCR-based solutions, preparing and preprocessing image and video datasets, working with data annotation, labeling, and augmentation, using frameworks such as OpenCV, TensorFlow, PyTorch, and YOLO, training and evaluating computer vision models, supporting deployment and optimization of vision models, and performing accuracy and quality analysis of computer vision systems. Candidates will also contribute to data analysis and AI data workflows. Responsibilities include performing Exploratory Data Analysis (EDA), analyzing large datasets and identifying useful insights, creating visualizations, reports, and dashboards, supporting data pipelines and workflows for AI applications, maintaining data quality and integrity, following data governance practices, processing image, text, audio, and video datasets, and AI solution development and integration. The role involves integrating AI technologies into software and enterprise applications. Candidates will support intelligent automation and AI-driven business solutions, integrate AI, Generative AI, and Computer Vision models with applications, work with web, mobile, and enterprise applications, assist in developing APIs and microservices, support cloud-based AI solutions, participate in software testing and debugging, troubleshoot AI application issues, follow coding standards and software development best practices, and use version control systems as part of software development activities. As an emerging technology role, the GenAI Trainee will also be expected to stay updated with developments in AI. Responsibilities include researching advancements in Artificial Intelligence, learning new Machine Learning and Deep Learning techniques, exploring Generative AI technologies, researching Computer Vision developments, developing proof-of-concept (PoC) solutions, evaluating new AI frameworks, tools, and platforms, contributing ideas for AI products and services, participating in technical discussions and innovation initiatives, and participating in hackathons where applicable. Candidates will also contribute to documentation and compliance activities. This includes preparing technical documentation, documenting datasets and data-processing procedures, documenting model training and evaluation procedures, preparing project reports, following Responsible AI principles, following cybersecurity and data privacy requirements, following ethical AI guidelines, and supporting compliance with organizational and industry standards. The GenAI Trainee will work with professionals across multiple technical and business functions. The role involves collaboration with AI Engineers, Data Scientists, Software Developers, Product Teams, and Business Stakeholders. Candidates will participate in Agile ceremonies, code reviews, technical meetings, training, mentoring, and self-learning activities. Key Technologies Mentioned The job description covers a broad range of AI and software technologies. Candidates may gain exposure to Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, Computer Vision, OpenCV, TensorFlow, PyTorch, YOLO, OCR, APIs, Microservices, and Cloud-based AI solutions. Why Join This Company? Larsen & Toubro (L&T) is a leading Indian engineering and technology company with a strong presence in various sectors. The company offers a wide range of career opportunities and growth prospects for its employees. The GenAI Trainee role provides a chance to work on emerging technologies and contribute to the development of innovative AI solutions. The company's work culture emphasizes collaboration, innovation, and continuous learning, making it an ideal place for professionals looking to grow and develop their skills.