L&T Hiring GenAI Trainee | Freshers & 0-2 Years Experience

Are you excited about artificial intelligence, large language models, and computer vision? Larsen & Toubro (L&T), one of India's most respected conglomerates, has opened up job openings for the role of GenAI Trainee at their state-of-the-art Innovation Campus located in Powai, Mumbai. This is an incredible opportunity for both fresh engineering graduates and early-career tech professionals looking to build high-impact careers in Generative AI and advanced machine learning.

About Larsen & Toubro (L&T)

Larsen & Toubro is an Indian multinational conglomerate engaged in EPC projects, hi-tech manufacturing, and advanced digital engineering services. Operating in over 50 countries, L&T has built a solid track record over several decades. The Precision Engineering & Systems division is focused on building sophisticated technology, smart systems, and intelligent automation for mission-critical industrial applications. Joining L&T gives you top-tier exposure to industry experts, cutting-edge labs, and meaningful projects that impact nationwide digital transformation.

Detailed Job Responsibilities

As a GenAI Trainee, you will be part of a highly specialized team that builds innovative AI solutions. Here is a breakdown of what you will be doing day-to-day:

1. Machine Learning & Artificial Intelligence

• Assist in collecting, cleaning, preprocessing, and validating both structured and unstructured datasets.
• Support the design, development, training, and evaluation of machine learning and deep learning models.
• Perform feature engineering, hyperparameter tuning, and model optimization to boost overall system efficiency.
• Conduct model validation, unit testing, benchmarking, and maintain technical documentation.
• Help deploy and monitor AI/ML models across testing and production environments.

2. Generative AI & LLM Development

• Assist in building intelligent applications using Large Language Models (LLMs) and multimodal AI frameworks.
• Perform prompt engineering, prompt optimization, and comprehensive response evaluation.
• Participate in Retrieval-Augmented Generation (RAG) implementations, model fine-tuning, and domain-specific customization.
• Develop and test smart conversational agents, chatbots, virtual assistants, and automated content generation workflows.
• Evaluate model outputs for accuracy, safety, and adherence to Responsible AI principles.

3. Computer Vision Engineering

• Assist in developing image and video analytics solutions using modern computer vision techniques.
• Work on object detection, image classification, semantic segmentation, tracking, and optical character recognition (OCR).
• Handle image and video datasets for annotation, labeling, and data augmentation.
• Use popular vision frameworks like OpenCV, PyTorch, TensorFlow, and YOLO.
• Help optimize vision models for real-time edge devices and cloud deployment.

4. Data Analytics, Integration & Research

• Conduct Exploratory Data Analysis (EDA) and build clean dashboards to showcase key insights.
• Integrate AI models into existing web, mobile, and enterprise applications using REST APIs and microservices.
• Build quick Proof-of-Concepts (PoCs) for emerging tech and participate in hackathons and innovation sprints.
• Follow clean code practices, version control using Git, and software development standards.

Eligibility Criteria & Educational Qualifications

• Degree Required: Bachelor of Technology (B.Tech / B.E) or Master of Technology (M.Tech) in Computer Science, Information Technology, Artificial Intelligence, Data Science, Electronics & Communication, or allied streams.
• Experience: 0 to 2 Years (Freshers graduating in recent batches with strong project portfolios are welcome to apply).
• Academic Track Record: Consistent academic record throughout 10th, 12th, and Graduation/Post-Graduation with no active backlogs.

Key Skills & Tools Required

• Programming: Strong programming proficiency in Python.
• AI/ML Frameworks: Working knowledge of PyTorch, TensorFlow, Scikit-learn, and Hugging Face Transformers.
• Generative AI: Understanding of LLM architecture, prompt engineering, LangChain, LlamaIndex, vector databases, and RAG pipelines.
• Computer Vision: Familiarity with OpenCV, YOLO, image preprocessing, and CNN architectures.
• Soft Skills: Strong curiosity to learn, proactive problem-solving attitude, and effective communication skills.

Selection Process

The selection process at L&T for technical trainee roles usually involves the following stages:

1. Online Profile Screening: Review of resumes, projects, and educational credentials.
2. Online Assessment: Technical and aptitude test covering programming concepts, data structures, math/statistics, and basic AI fundamentals.
3. Technical Interview: In-depth discussion around your academic projects, machine learning fundamentals, coding skills, and problem-solving abilities.
4. HR & Managerial Discussion: Assessment of communication skills, cultural fit, willingness to relocate to Mumbai, and team dynamics.

Tips for Candidates to Stand Out

To boost your selection chances, make sure you highlight practical projects on your resume. If you have built end-to-end RAG chatbots, fine-tuned open-source models, deployed computer vision solutions, or contributed to open-source GitHub repositories, ensure these links are clearly accessible on your resume. Be ready to explain your model architecture choices, training pipelines, and challenges faced during your project development.

Make sure to submit your application early before the posting closes.