L&T is hiring freshers and early-career candidates for the role of GenAI Trainee at L&T Precision Engineering & Systems in Mumbai. Candidates with a B.Tech degree and 0–2 years of experience can apply for this opportunity. The role focuses on Artificial Intelligence, Machine Learning, Generative AI, Computer Vision, and Data Analytics.
The selected candidates will get an opportunity to work on AI-driven solutions, Large Language Models, Retrieval-Augmented Generation (RAG), machine learning models, computer vision applications, data pipelines, and enterprise AI integrations. This is a suitable opportunity for candidates looking to start or grow their career in the rapidly developing field of Artificial Intelligence and Generative AI.
L&T Off Campus 2026 Hiring Freshers For GenAI Trainee
| Details | Information |
|---|---|
| Company | L&T Precision Engineering & Systems |
| Job Role | GenAI Trainee |
| Job ID | LNT/GT/1820559 |
| Qualification | Bachelor of Technology (B.Tech) |
| Experience | 0 – 2 Years |
| Eligible Candidates | Freshers / Early Career |
| Expected Salary | ₹4 – ₹7 LPA (Expected) |
| Job Type | Full-Time |
| Location | Mumbai, Maharashtra |
| Posted On | 13 August 2026 |
| Apply By | 09 February 2027 |
| Skills | Machine Learning, Artificial Intelligence |
Job Description
L&T Precision Engineering & Systems is looking for a GenAI Trainee to join its Digital Engineering and Innovation team. The role provides an opportunity to work across multiple areas of artificial intelligence, including machine learning, deep learning, Generative AI, computer vision, data analytics, and AI solution development.
As a GenAI Trainee, you will assist in developing and testing AI models and applications while working with experienced AI engineers, data scientists, software developers, product teams, and business stakeholders. You will also participate in research, proof-of-concept development, model evaluation, documentation, and AI innovation initiatives.
Qualifications & Skills
- Bachelor of Technology (B.Tech) degree.
- 0–2 years of relevant experience.
- Knowledge of Machine Learning and Artificial Intelligence.
- Basic understanding of Generative AI and Large Language Models (LLMs).
- Understanding of data preprocessing and exploratory data analysis.
- Familiarity with deep learning concepts is beneficial.
- Knowledge of computer vision concepts is an advantage.
- Understanding of APIs, software development, and cloud-based solutions.
- Good analytical and problem-solving skills.
- Ability to learn new AI technologies and frameworks.
- Good communication and collaboration skills.
- Willingness to work in a fast-paced technology environment.
Roles and Responsibilities
Machine Learning & Artificial Intelligence
- Assist in collecting, cleaning, preprocessing, and validating structured and unstructured datasets.
- Support the development, training, and evaluation of machine learning and deep learning models.
- Perform feature engineering, model tuning, and performance optimization.
- Assist with model validation, testing, benchmarking, and documentation.
- Support the deployment and monitoring of AI/ML models.
- Analyze model performance and recommend improvements.
Generative AI Development
- Assist in developing applications using Large Language Models and multimodal AI models.
- Support prompt engineering, optimization, and response evaluation.
- Participate in Retrieval-Augmented Generation (RAG), fine-tuning, and model customization projects.
- Develop and test AI-powered chatbots and virtual assistants.
- Evaluate AI model outputs for quality, factual accuracy, safety, and compliance.
- Integrate Generative AI capabilities into enterprise applications using APIs and frameworks.
Computer Vision Engineering
- Assist in developing image and video analytics solutions.
- Support object detection, image classification, segmentation, tracking, and OCR projects.
- Work with image and video datasets for annotation, labeling, augmentation, and preprocessing.
- Assist in training and evaluating computer vision models using technologies such as OpenCV, TensorFlow, PyTorch, and YOLO.
- Support the deployment and optimization of computer vision models.
- Perform quality and accuracy assessments of vision-based systems.
Data Analytics & Engineering
- Conduct Exploratory Data Analysis (EDA) on large datasets.
- Generate insights from data and create visualizations, reports, and dashboards.
- Support the development of data pipelines for AI applications.
- Maintain data quality, integrity, and governance standards.
- Assist in processing image, text, audio, and video datasets.
AI Solution Development & Integration
- Collaborate on intelligent automation and AI-driven business solutions.
- Integrate AI, Generative AI, and Computer Vision models with enterprise, web, and mobile applications.
- Assist in developing APIs, microservices, and cloud-based AI solutions.
- Participate in software testing, debugging, and troubleshooting.
- Follow coding standards, version control, and software development best practices.
Research & Innovation
- Stay updated on developments in AI, Machine Learning, Generative AI, Computer Vision, and Deep Learning.
- Conduct proof-of-concept development for emerging AI technologies.
- Evaluate new AI frameworks, tools, and platforms.
- Contribute ideas for improving AI products, services, and business processes.
- Participate in technical discussions, hackathons, and innovation initiatives.
Documentation & Compliance
- Prepare technical documentation, model documentation, and project reports.
- Document datasets, training procedures, model evaluations, and deployment processes.
- Follow Responsible AI, cybersecurity, data privacy, and ethical AI practices.
- Ensure compliance with organizational and industry standards.
Collaboration & Learning
- Work with AI Engineers, Data Scientists, Software Developers, Product Teams, and Business Stakeholders.
- Participate in Agile ceremonies, code reviews, and team meetings.
- Continuously improve technical knowledge through training, mentoring, and self-learning.
- Demonstrate a proactive approach toward learning and solving technical problems.
How To Apply For L&T Careers
- Click on the Apply Here button provided below.
- You will be redirected to the official L&T Careers website.
- Search for the GenAI Trainee position using Job ID LNT/GT/1820559.
- Click on the Apply option.
- Register for an account or log in if you already have one.
- Fill in the application form with accurate details.
- Upload your updated resume and required documents.
- Review all the information carefully.
- Submit your application before the closing date.
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About L&T
Larsen & Toubro (L&T) is a major Indian technology, engineering, construction, and manufacturing organization with operations across multiple industries. L&T works across areas including engineering, infrastructure, technology, manufacturing, and digital solutions. Its innovation-focused teams provide opportunities for professionals and graduates to work on emerging technologies and complex engineering projects.
Disclaimer: The salary mentioned above is an expected estimate because the official job description does not specify the exact compensation. Candidates should verify the salary, eligibility requirements, and other details on the official L&T careers page before applying.
