Larsen & Toubro (L&T) is inviting applications for the GenAI Trainee position at its Powai location in Mumbai, Maharashtra. This opportunity is suitable for B.Tech and M.Tech graduates interested in Artificial Intelligence, Generative AI, Machine Learning and Computer Vision.
Candidates with 0–2 years of experience, including freshers, can explore this opportunity to work on AI-powered applications, machine learning models, computer vision solutions and enterprise technology projects.
The role offers exposure to emerging technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), deep learning, AI-driven automation and multimodal AI systems.
Interested and eligible candidates can apply through the official L&T careers portal before 9 February 2027.
Job Overview
| Details | Information |
|---|---|
| Company | Larsen & Toubro (L&T) |
| Job Role | GenAI Trainee |
| Job Category | Artificial Intelligence / Technology |
| Qualification | B.Tech / M.Tech |
| Experience | 0–2 Years |
| Freshers | Eligible |
| Job Location | Powai, Mumbai, Maharashtra |
| Work Mode | Not specified |
| Employment Type | Not specified |
| Key Skills | Generative AI, Machine Learning, Computer Vision |
| Salary | Not disclosed |
| Last Date to Apply | 9 February 2027 |
About Larsen & Toubro
Larsen & Toubro (L&T) is a major Indian multinational operating across engineering, construction, manufacturing, technology and financial services.
The company works on large-scale projects and technology-driven solutions across multiple industries. Through roles involving artificial intelligence, machine learning and digital technologies, L&T provides opportunities to contribute to emerging technology initiatives.
Job Description
As a GenAI Trainee, candidates will support the development and implementation of AI, Machine Learning, Generative AI and Computer Vision solutions.
The role involves working with AI engineers, data scientists, software developers and other stakeholders on activities such as data preparation, model development, testing, evaluation, deployment and integration.
Selected candidates will also gain exposure to LLM-based applications, prompt engineering, RAG workflows, image and video analytics, AI-powered automation and cloud-based solutions.
Roles and Responsibilities
1. Machine Learning and Artificial Intelligence
- Collect, clean, preprocess and validate structured and unstructured datasets.
- Support the design, development, training and evaluation of machine learning and deep learning models.
- Perform feature engineering, model tuning and performance optimization.
- Conduct model validation, testing, benchmarking and documentation.
- Assist in deploying and monitoring AI/ML models.
- Analyze model performance and recommend improvements.
2. Generative AI Development
- Assist in developing applications using Large Language Models (LLMs) and multimodal AI models.
- Support prompt engineering, prompt 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 model outputs for quality, factual accuracy, safety and compliance.
- Integrate Generative AI capabilities into enterprise applications using APIs and frameworks.
3. Computer Vision Engineering
- Assist in developing image and video analytics solutions.
- Support object detection, image classification, segmentation, tracking and OCR.
- Work with image and video datasets for annotation, labeling and preprocessing.
- Assist in training and evaluating deep learning models.
- Work with frameworks and tools such as OpenCV, TensorFlow, PyTorch and YOLO.
- Support deployment and optimization of computer vision models.
4. Data Analytics and Engineering
- Perform Exploratory Data Analysis (EDA).
- Generate insights from large datasets.
- Create visualizations, reports and dashboards.
- Support the development of data pipelines and workflows.
- Maintain data quality, integrity and governance standards.
- Process image, text, audio and video datasets.
5. AI Solution Development and Integration
- Collaborate on AI-driven business solutions and intelligent automation.
- Integrate AI, Generative AI and Computer Vision models with web, mobile and enterprise applications.
- Assist in developing APIs, microservices and cloud-based AI solutions.
- Participate in software testing, debugging and troubleshooting.
- Follow coding standards, version control and development best practices.
6. Research and Innovation
- Stay updated on developments in AI, Machine Learning, Generative AI and Computer Vision.
- Develop proof-of-concept (PoC) solutions for emerging technologies.
- Evaluate new AI frameworks, tools and platforms.
- Contribute ideas for improving AI products and services.
- Participate in technical discussions, hackathons and innovation initiatives.
7. Documentation and Collaboration
- Prepare technical documentation, model documentation and project reports.
- Document datasets, model training procedures and evaluation results.
- Follow Responsible AI, cybersecurity, data privacy and ethical AI guidelines.
- Collaborate with AI Engineers, Data Scientists, Software Developers and business stakeholders.
- Participate in Agile meetings, code reviews and continuous learning activities.
Eligibility Criteria
Candidates interested in the L&T GenAI Trainee position should meet the following criteria:
- B.Tech or M.Tech qualification.
- Candidates with 0–2 years of experience can apply.
- Freshers are eligible to apply, as indicated in the recruitment information supplied.
- Interest in Artificial Intelligence, Machine Learning and Generative AI.
- Willingness to learn emerging AI technologies and frameworks.
- Ability to work collaboratively with technical teams.
Required Skills
The job description highlights the following technical areas:
- Artificial Intelligence (AI)
- Generative AI
- Machine Learning
- Deep Learning
- Computer Vision
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Model Fine-Tuning
- Data Analytics
- Exploratory Data Analysis (EDA)
- Object Detection and Image Classification
- OpenCV
- TensorFlow
- PyTorch
- YOLO
- API Integration
- Data Preprocessing and Model Evaluation
Why Consider This Opportunity?
- Opportunity to work on real-world AI and Generative AI applications.
- Exposure to LLMs, RAG and multimodal AI technologies.
- Experience with Machine Learning and Computer Vision projects.
- Opportunity to work with AI engineers and technical teams.
- Exposure to AI-driven enterprise solutions and automation.
- Continuous learning across emerging technology areas.
Job Location
- Location: Powai, Mumbai, Maharashtra, India.
- Work Mode: Not specified in the supplied job description.
- Last Date: 9 February 2027.
How to Apply for L&T GenAI Trainee Recruitment 2026
Interested and eligible candidates can apply through the official L&T recruitment portal.
Application Steps:
- Visit the official L&T careers link.
- Open the GenAI Trainee job listing.
- Review the job description and eligibility requirements.
- Click the Apply option.
- Complete the application form with the required details.
- Submit your updated resume and application.
Apply Online: Click here
Frequently Asked Questions
1. Is L&T hiring freshers for the GenAI Trainee role?
Yes. The recruitment information supplied indicates that candidates with 0–2 years of experience, including freshers, can apply.
2. What is the qualification required?
Candidates with B.Tech or M.Tech qualifications are eligible according to the supplied job details.
3. What is the job location?
The position is based in Powai, Mumbai, Maharashtra.
4. What is the experience required?
The stated experience range is 0–2 years.
5. What are the key skills required?
The job description highlights Artificial Intelligence, Machine Learning and Computer Vision, along with exposure to Generative AI technologies.
6. What is the salary offered?
The salary is not disclosed in the supplied job description. Candidates should confirm compensation details through the official recruitment process.
7. What is the last date to apply?
The application deadline provided is 9 February 2027.
8. Which technologies may candidates work with?
The job description mentions OpenCV, TensorFlow, PyTorch, YOLO, LLMs, RAG and other AI development technologies.
Disclaimer
This article is for informational purposes only and is based on the L&T job details supplied. It is not an official communication from Larsen & Toubro. Verify the latest eligibility criteria, application deadline and employment details through the official careers portal before applying. No selection guarantee or payment is required.
