L&T GenAI Trainee Recruitment 2026 | B.Tech & M.Tech AI, Machine Learning Jobs in Powai
Job Description
Larsen & Toubro (L&T) has announced an exciting career opportunity for technology graduates interested in Artificial Intelligence, Generative AI, Machine Learning, Computer Vision, and Data Analytics. The company is hiring for the position of GenAI Trainee under L&T Precision Engineering & Systems IC at Powai.
Candidates with B.Tech or M.Tech qualifications and 0–2 years of relevant experience can consider this opportunity. The selected trainees will get exposure to modern technologies including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Deep Learning, Computer Vision, AI-powered applications, data engineering, APIs, cloud-based AI solutions, and intelligent automation.
This opportunity can be particularly valuable for candidates who want to start or develop their careers in AI, Machine Learning, Generative AI, Computer Vision, or Data Science.
Job Overview
| Particulars | Details |
|---|---|
| Company Name | Larsen & Toubro (L&T) |
| Job Role | GenAI Trainee |
| Job ID | LNT/GT/1820286 |
| Division | DEIC – L&T Precision Engineering & Systems IC |
| Job Location | Powai |
| Salary | Not Disclosed |
| Qualification | B.Tech / M.Tech |
| Experience | 0–2 Years |
| Key Skills | Artificial Intelligence, Machine Learning, Computer Vision |
| Job Type | Trainee / Full-Time Opportunity |
| Posted Date | 13 August 2026 |
| Application End Date | 09 February 2027 |
Job Description
The L&T GenAI Trainee role is designed for candidates who are interested in working with emerging Artificial Intelligence technologies and real-world enterprise AI applications.
Selected candidates may work across several areas including Machine Learning, Generative AI, Computer Vision, Data Analytics, AI solution development, model deployment, research, and intelligent automation.
As a GenAI Trainee, candidates may assist experienced AI Engineers, Data Scientists, Software Developers, and other technical teams in building, testing, evaluating, and deploying AI-driven solutions.
The position involves working with both structured and unstructured datasets, developing and evaluating Machine Learning models, experimenting with Large Language Models, creating AI-powered applications, building Computer Vision systems, and integrating AI technologies with enterprise software.
Candidates who have strong programming fundamentals, analytical ability, curiosity about emerging technologies, and willingness to continuously learn may find this position particularly suitable.
About Larsen & Toubro
Larsen & Toubro, commonly known as L&T, is a major Indian multinational company with operations across engineering, technology, construction, manufacturing, defence, infrastructure, and other industrial sectors.
L&T works on large-scale engineering and technology projects and has a significant presence across India as well as international markets.
The GenAI Trainee vacancy is associated with L&T Precision Engineering & Systems IC. The role offers candidates an opportunity to gain exposure to advanced digital technologies and AI-driven engineering solutions.
Working in such an environment can help young professionals develop practical knowledge of Artificial Intelligence, Machine Learning, software engineering, data processing, and enterprise technology applications.
Eligibility Criteria
Education Qualification
Candidates should possess one of the following qualifications:
- Bachelor of Technology (B.Tech)
- Master of Technology (M.Tech)
Candidates with academic backgrounds connected to Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology, Electronics, or related technical areas may find their knowledge useful for this position.
Applicants should verify the exact branch or specialization requirements during the official application process.
Age Limit
No specific minimum or maximum age limit has been mentioned in the available job notification.
Candidates should follow the eligibility requirements mentioned on L&T’s official recruitment portal.
Gender
No gender restriction has been specified for this vacancy.
Eligible candidates can apply subject to meeting the company’s qualification, skill, and experience requirements.
Experience Required
Required experience:
0–2 Years
Therefore, fresh graduates as well as candidates with up to two years of relevant professional experience may be suitable for the role.
Candidates with internships, academic projects, research projects, hackathon participation, or practical experience related to AI/ML can also highlight them in their resumes.
Job Responsibilities
Machine Learning & Artificial Intelligence
- Assist in collecting data from different sources.
- Clean and preprocess structured and unstructured datasets.
- Validate data before using it for AI and Machine Learning projects.
- Support the development and training of Machine Learning models.
- Assist in building and evaluating Deep Learning models.
- Perform feature engineering for Machine Learning projects.
- Participate in model tuning and optimization.
- Evaluate model accuracy and overall performance.
- Conduct model testing, validation, and benchmarking.
- Maintain proper model and experiment documentation.
- Support deployment of AI/ML models.
- Monitor deployed models and identify performance issues.
- Suggest improvements that can increase model accuracy and efficiency.
Generative AI Development
- Assist in developing applications using Large Language Models.
- Work with Generative AI and multimodal AI technologies.
- Support prompt engineering activities.
- Design and optimize prompts for different AI applications.
- Evaluate AI-generated responses.
- Participate in Retrieval-Augmented Generation projects.
- Gain exposure to model fine-tuning and customization.
- Help develop AI-powered chatbots.
- Assist in building virtual assistants.
- Support AI-based content generation applications.
- Evaluate AI outputs for factual accuracy and quality.
- Follow Responsible AI and safety practices.
- Integrate Generative AI capabilities into enterprise applications.
- Work with APIs and AI development frameworks.
Computer Vision Engineering
- Assist in creating image and video analysis solutions.
- Work with Computer Vision algorithms and techniques.
- Support development of object detection systems.
- Assist with image classification models.
- Work on image segmentation projects.
- Support object tracking solutions.
- Gain exposure to OCR-based applications.
- Prepare image and video datasets for model training.
- Participate in data annotation and labeling.
- Apply data augmentation techniques.
- Train and evaluate Deep Learning vision models.
- Work with frameworks such as OpenCV, TensorFlow, PyTorch, and YOLO.
- Assist in deploying Computer Vision models.
- Support optimization of AI models for edge devices and cloud platforms.
- Evaluate accuracy and quality of Computer Vision systems.
Data Analytics & Engineering
- Perform Exploratory Data Analysis (EDA).
- Analyze large datasets to identify trends and insights.
- Prepare reports and visualizations.
- Develop dashboards to communicate analytical findings.
- Support development of data pipelines.
- Assist in creating workflows for AI applications.
- Maintain data quality and integrity.
- Follow organizational data governance standards.
- Process different types of datasets including text, images, audio, and video.
AI Solution Development & Integration
- Support development of intelligent automation solutions.
- Help create AI-driven business applications.
- Integrate Machine Learning models with software applications.
- Integrate Generative AI and Computer Vision models with web applications.
- Support AI integrations for mobile and enterprise software.
- Assist in developing APIs and microservices.
- Gain exposure to cloud-based AI solutions.
- Participate in software testing and debugging.
- Troubleshoot technical issues.
- Follow proper coding standards and development practices.
- Use version control systems for collaborative software development.
Research & Innovation
- Keep track of developments in Artificial Intelligence.
- Learn about advancements in Machine Learning and Deep Learning.
- Explore emerging Generative AI technologies.
- Stay updated with Computer Vision tools and frameworks.
- Participate in Proof-of-Concept development.
- Evaluate new AI tools, platforms, frameworks, and technologies.
- Suggest innovative applications of Artificial Intelligence.
- Participate in technical discussions.
- Contribute to innovation initiatives and hackathons where applicable.
Documentation & Compliance
- Create clear technical documentation.
- Prepare model-related documentation.
- Maintain project reports.
- Document datasets and data-processing procedures.
- Record model-training processes.
- Document evaluation and deployment procedures.
- Follow Responsible AI principles.
- Maintain data privacy requirements.
- Follow cybersecurity guidelines.
- Ensure compliance with relevant organizational policies.
Collaboration & Continuous Learning
- Work with AI Engineers.
- Collaborate with Data Scientists.
- Coordinate with Software Developers.
- Work with product and business teams.
- Participate in team meetings.
- Take part in Agile development ceremonies.
- Participate in code reviews.
- Learn through technical training and mentoring.
- Continuously develop knowledge of emerging AI technologies.
- Demonstrate a proactive approach toward learning.
Required Skills
Candidates interested in the L&T GenAI Trainee Recruitment 2026 should ideally develop the following technical and professional skills.
Technical Skills
- Artificial Intelligence
- Machine Learning
- Deep Learning fundamentals
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Computer Vision
- Image Processing
- Object Detection
- Image Classification
- Image Segmentation
- OCR concepts
- Data Analytics
- Exploratory Data Analysis
- Data Preprocessing
- Feature Engineering
- Model Training
- Model Evaluation
- Model Optimization
- Python programming
- API development concepts
- Microservices fundamentals
- TensorFlow
- PyTorch
- OpenCV
- YOLO
- Git or other version control tools
- Database fundamentals
- Cloud computing fundamentals
Knowledge of all technologies may not necessarily be mandatory for an entry-level candidate. However, practical exposure to some of these technologies through projects, internships, coursework, or self-learning can strengthen a candidate’s profile.
Soft Skills
- Analytical thinking
- Logical reasoning
- Problem-solving ability
- Strong willingness to learn
- Attention to detail
- Team collaboration
- Communication skills
- Research mindset
- Adaptability
- Time management
- Documentation skills
- Ability to accept feedback
- Creativity and innovation
- Self-learning ability
Salary Details
The salary package for the L&T GenAI Trainee position has not been disclosed in the provided job notification.
Candidates should therefore verify the following details during the selection or offer process:
- Annual CTC
- Monthly gross salary
- Approximate in-hand salary
- PF deductions
- Insurance benefits
- Performance incentives, if applicable
- Other employee allowances
- Joining benefits, if applicable
Applicants should rely on the official offer letter or communication from L&T for confirmed salary information.
How to Apply
Candidates interested in the L&T GenAI Trainee vacancy can follow these steps:
- Visit the official Larsen & Toubro Careers portal.
- Search for the job using Job ID:
LNT/GT/1820286
- Open the GenAI Trainee job listing.
- Carefully review the qualification, experience, job location, responsibilities, and skill requirements.
- Click on the application option available on the career portal.
- Sign in or create a candidate profile if required.
- Enter your personal details correctly.
- Provide your educational details.
- Add your employment or internship experience, if applicable.
- Upload an updated resume.
- Highlight relevant AI, Machine Learning, Generative AI, Data Science, or Computer Vision projects.
- Verify all information before submission.
- Submit the application.
- Save the application confirmation or reference number for future use.
- Regularly check your registered email address and mobile number for further communication.
The listed application end date is 09 February 2027. However, candidates interested in the vacancy should preferably apply early instead of waiting until the closing date.
Required Documents
Applicants should keep the following documents ready:
- Updated Resume / CV
- Aadhaar Card
- PAN Card
- Passport-size Photograph
- 10th Mark Sheet and Certificate
- 12th Mark Sheet and Certificate
- B.Tech Mark Sheets
- B.Tech Degree / Provisional Certificate
- M.Tech Mark Sheets, if applicable
- M.Tech Degree / Provisional Certificate, if applicable
- College ID Card, where applicable
- Government-issued Photo ID
- Address Proof
- Internship Certificates, if available
- AI/ML Course Certificates, if available
- Project Certificates
- Experience Certificate, if applicable
- Previous Employment Documents, if applicable
Candidates should ensure that the information entered in the application matches their official academic and identity documents.
Other Important Details
Job Location
Powai
Candidates should be prepared to work from or relocate to the assigned location if selected.
Department
DEIC – L&T Precision Engineering & Systems IC
Experience
0–2 Years
The vacancy may therefore be suitable for freshers and early-career professionals.
Main Technology Areas
Candidates selected for the role can potentially gain exposure to:
- Generative AI
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Large Language Models
- Computer Vision
- Data Engineering
- Data Analytics
- Intelligent Automation
- Cloud AI
- AI APIs
- Enterprise AI Applications
Why This Opportunity Can Be Valuable for Freshers
Artificial Intelligence and Generative AI have become important technology areas across industries, and organizations are increasingly exploring AI-driven solutions for automation, analytics, decision-making, customer support, engineering, and software development.
The L&T GenAI Trainee role provides candidates with an opportunity to work across multiple areas instead of being restricted to only one technology.
Candidates may gain practical exposure to Machine Learning, LLM applications, Computer Vision, data pipelines, model evaluation, APIs, software development, cloud deployment, and enterprise AI integration.
Such experience can help candidates prepare for future roles including:
- Artificial Intelligence Engineer
- Machine Learning Engineer
- Generative AI Engineer
- Computer Vision Engineer
- Data Scientist
- Data Analyst
- AI Developer
- Deep Learning Engineer
- NLP Engineer
- AI Research Engineer
- MLOps Engineer
- Software Engineer – AI/ML
Tips to Improve Your Chances of Selection
Candidates applying for a GenAI role should make their resumes technology-focused.
Try to include relevant projects such as:
- AI Chatbot using an LLM
- Retrieval-Augmented Generation application
- PDF Question-Answering System
- Image Classification Model
- Object Detection using YOLO
- Sentiment Analysis
- Recommendation System
- OCR Application
- Machine Learning Prediction Project
- Computer Vision Project
Applicants should also revise Python, Machine Learning fundamentals, Deep Learning concepts, SQL basics, Generative AI concepts, APIs, Git, and basic cloud technologies before attending a technical assessment or interview.
Having a GitHub profile containing practical AI projects can also help demonstrate hands-on technical skills.
Important Dates
Job Posted Date: 13 August 2026
Application End Date: 09 February 2027
Candidates are advised to verify the vacancy status on the official L&T Careers portal before applying, as companies may modify or close recruitment depending on business requirements.
Important Note
Candidates should apply only through the official L&T recruitment portal or other authorized recruitment channels.
Do not provide money to unknown individuals claiming to guarantee an L&T job.
Final selection will depend on the company’s eligibility screening, technical evaluation, interview performance, document verification, and recruitment requirements.
Join Our WhatsApp Channel
Join Our Telegram ChannelConnect With Us
WhatsApp ChannelTelegram Channel
Instagram Page
YouTube Channel
Facebook Page
WhatsApp
LinkedIn
