GenAI Trainee Recruitment 2026 – L&T | B.Tech/M.Tech Freshers Can Apply
Job Description
1. Job Overview
| Details | Information |
|---|---|
| Company Name | Larsen & Toubro (L&T) |
| Job Role | GenAI Trainee |
| Job ID | LNT/GT/1820286 |
| Business Unit | DEIC – L&T Precision Engineering & Systems IC |
| Job Location | L&T Innovation Campus, Powai, Mumbai |
| Salary | Not specified in the provided vacancy |
| Qualification | B.Tech / M.Tech |
| Experience | 0–2 Years |
| Job Type | Full-Time |
| Posted On | 13 August 2026 |
| Application End Date | 9 February 2027 |
| Key Areas | Generative AI, Machine Learning, Computer Vision, Data Analytics |
2. Job Description
L&T has announced an opportunity for the position of GenAI Trainee at its Innovation Campus in Powai, Mumbai. The role is designed for candidates with a strong academic background in technology who are interested in building solutions using Artificial Intelligence, Machine Learning, Generative AI, Computer Vision and Data Analytics.
As a GenAI Trainee, candidates will get an opportunity to work with AI-focused teams and contribute to real-world technology projects. The position involves supporting the development, testing, evaluation and integration of AI/ML models and Generative AI applications.
The role can be particularly suitable for B.Tech and M.Tech candidates looking to start or develop their careers in emerging AI technologies. Candidates with up to 2 years of experience are eligible according to the provided vacancy details.
3. About the Company
Larsen & Toubro (L&T) is one of India’s major engineering and technology organizations, operating across multiple sectors including engineering, infrastructure, technology, manufacturing and advanced engineering solutions.
The L&T Innovation Campus at Powai is associated with technology and innovation-focused activities. This GenAI Trainee opportunity provides candidates with exposure to areas such as Artificial Intelligence, Machine Learning, Generative AI and Computer Vision.
4. Eligibility Criteria
Education Qualification
Candidates should have completed or hold:
- Bachelor of Technology (B.Tech)
- Master of Technology (M.Tech)
The role is particularly relevant for candidates from technical backgrounds who have knowledge or interest in Artificial Intelligence, Machine Learning and Computer Vision.
Age Limit
No specific age limit has been mentioned in the provided vacancy information. Candidates should check the official recruitment notification/application page for any additional eligibility conditions.
Gender
The provided vacancy does not specify any gender restriction. Eligible candidates can apply subject to the official recruitment criteria.
Experience Required
Candidates with 0 to 2 years of experience can be considered for this position, making the opportunity suitable for freshers as well as early-career professionals.
5. Job Responsibilities
Machine Learning & Artificial Intelligence
- Assist with collecting, cleaning and preparing structured and unstructured datasets.
- Support the development and training of Machine Learning and Deep Learning models.
- Perform feature engineering and model optimization tasks.
- Help with model testing, validation and benchmarking.
- Monitor model performance and identify areas for improvement.
- Maintain proper technical documentation related to AI/ML projects.
Generative AI Development
- Assist in developing applications powered by Large Language Models (LLMs).
- Work on prompt engineering and prompt optimization.
- Support Retrieval-Augmented Generation (RAG) and model customization projects.
- Help develop AI-based chatbots and virtual assistants.
- Evaluate AI-generated responses for quality, accuracy and safety.
- Assist with integrating Generative AI solutions into enterprise applications using APIs and frameworks.
Computer Vision
- Support the development of image and video analytics applications.
- Work with technologies related to object detection, image classification, segmentation, tracking and OCR.
- Assist with image/video dataset annotation and preprocessing.
- Work with tools and frameworks such as OpenCV, TensorFlow, PyTorch and YOLO.
- Support optimization and deployment of computer vision models.
- Analyze the accuracy and quality of computer vision systems.
Data Analytics & Engineering
- Perform Exploratory Data Analysis (EDA).
- Analyze large datasets and identify useful patterns and insights.
- Prepare visualizations, reports and dashboards.
- Assist in developing data pipelines for AI applications.
- Maintain data quality and integrity.
- Work with different types of datasets including text, image, audio and video.
AI Solution Development
- Participate in the development of AI-driven business solutions.
- Integrate AI and Generative AI models with web, mobile and enterprise applications.
- Assist with APIs, microservices and cloud-based AI solutions.
- Participate in software testing and debugging.
- Follow coding standards and version-control practices.
Research & Innovation
- Keep track of new developments in Artificial Intelligence and Machine Learning.
- Participate in Proof-of-Concept (PoC) projects.
- Explore emerging AI tools, platforms and frameworks.
- Suggest innovative ideas for AI-based products and processes.
- Participate in technical discussions, hackathons and innovation activities.
Documentation & Compliance
- Prepare technical and project documentation.
- Document datasets, training processes and model evaluation results.
- Follow Responsible AI principles.
- Maintain data privacy and cybersecurity practices.
- Follow applicable organizational and industry standards.
Team Collaboration & Learning
- Work with AI Engineers, Data Scientists and Software Developers.
- Coordinate with product teams and business stakeholders.
- Participate in team meetings, code reviews and Agile activities.
- Continuously improve technical knowledge through training and self-learning.
- Adapt to new AI technologies and development practices.
6. Required Skills
Candidates applying for the GenAI Trainee position should ideally have knowledge or interest in the following areas:
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Computer Vision
- Data Analytics
- Exploratory Data Analysis
- Python programming
- OpenCV
- TensorFlow
- PyTorch
- YOLO
- OCR and image processing
- API integration
- Data preprocessing and visualization
- Problem-solving and analytical thinking
- Communication and teamwork
- Willingness to learn emerging technologies
7. Salary Details
The salary/package has not been specified in the vacancy information provided.
Therefore, candidates should not rely on unofficial salary figures available elsewhere. The final compensation may depend on the company’s recruitment terms, candidate profile and applicable employment conditions.
Candidates should verify the salary, benefits and other compensation details during the official application or selection process.
8. How to Apply
Interested and eligible candidates should apply through the official L&T recruitment process.
Application Process
- Visit the official L&T careers/recruitment portal.
- Search for the GenAI Trainee position.
- Check the job ID LNT/GT/1820286 to identify the correct vacancy.
- Review the eligibility criteria and job responsibilities carefully.
- Register or log in to the recruitment portal if required.
- Enter your educational and professional information.
- Upload your updated resume and other required documents.
- Review all details before submitting the application.
- Submit the application within the specified deadline.
- Keep a copy of the application or acknowledgement for future reference.
Application Deadline: 9 February 2027
9. Required Documents
Candidates should keep the following documents ready while applying:
- Updated Resume/CV
- B.Tech/M.Tech marksheets
- Degree/provisional certificate, if applicable
- Academic certificates
- Valid photo ID
- Recent passport-size photograph, if requested
- Experience certificate, if applicable
- Internship/project certificates, if available
- Relevant AI/ML or technical certification documents, if available
10. Other Important Details
Job Location: L&T Innovation Campus, Powai, Mumbai
Experience: 0–2 years
Qualification: B.Tech / M.Tech
Employment Type: Full-Time
Job Area: Artificial Intelligence, Machine Learning, Generative AI, Computer Vision and Data Analytics
The role may provide candidates with practical exposure to modern AI technologies and enterprise-level technology projects. Applicants with academic projects, internships or hands-on experience in AI, ML, Deep Learning, Computer Vision or Generative AI may find their background particularly relevant.
Candidates should ensure that all information submitted during the recruitment process is accurate and supported by valid documents.
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