L&T Hiring 2026 | GenAI Trainee | B.Tech / M.Tech | Mumbai | 0–2 Years | Apply Now

Application Link

Apply Here:

https://larsentoubrocareers.peoplestrong.com/job/detail/LNT_GT_1820286

L&T Hiring – GenAI Trainee Opportunity

Larsen & Toubro (L&T) is hiring for the position of GenAI Trainee at the L&T Innovation Campus in Powai, Mumbai. This opportunity is suitable for candidates with a B.Tech or M.Tech qualification and 0–2 years of experience who have knowledge of Generative AI, Machine Learning, Deep Learning, Computer Vision, Large Language Models, Prompt Engineering, and AI application development.

The selected candidate will work with AI and technology teams on Generative AI, LLMs, RAG, computer vision, machine learning, data processing, AI-powered applications, APIs, cloud solutions, and AI research and innovation initiatives.

About L&T

Larsen & Toubro (L&T) is a major Indian technology, engineering, construction, manufacturing, and infrastructure organization with operations across multiple industries and geographies.

Job Details

Company Name: Larsen & Toubro (L&T)

Position: GenAI Trainee

Job ID: LNT/GT/1820286

Qualification: B.Tech / M.Tech

Experience: 0–2 Years

Location: L&T Innovation Campus, Powai, Mumbai, Maharashtra, India

Division: DEIC – L&T Precision Engineering & Systems IC

Posted: August 13, 2026

Application End Date: February 9, 2027

Salary: Not Disclosed

Eligibility Criteria

B.Tech or M.Tech qualification.
0–2 years of relevant experience.
Knowledge of Generative AI and Artificial Intelligence concepts.
Understanding of Machine Learning and Deep Learning.
Knowledge of Python or other AI programming technologies.
Understanding of Large Language Models (LLMs).
Knowledge of Prompt Engineering and RAG concepts.
Understanding of computer vision and image/video analytics is beneficial.
Knowledge of data preprocessing and exploratory data analysis.
Understanding of APIs, microservices, or cloud-based AI solutions is beneficial.
Strong analytical and problem-solving skills.
Ability to work collaboratively with technical and business teams.

Job Description

L&T is looking for a GenAI Trainee to support the development and implementation of Artificial Intelligence and Generative AI solutions. The role provides exposure to LLMs, multimodal AI, RAG, prompt engineering, fine-tuning, machine learning, deep learning, and computer vision.

The selected candidate will assist with data preparation, model development, testing, optimization, AI application development, and deployment. The role also involves working on proof-of-concept projects, AI research, hackathons, and innovation initiatives.

Key Responsibilities

Assist with data collection, preprocessing, validation, and feature engineering.
Support the development, training, testing, and optimization of ML and DL models.
Work with Large Language Models and Generative AI technologies.
Work on prompt engineering and Retrieval-Augmented Generation (RAG).
Support fine-tuning and customization of AI models.
Develop and test AI-powered chatbots and virtual assistants.
Support enterprise Generative AI solutions.
Build computer vision solutions for object detection and image classification.
Work on image segmentation and object tracking solutions.
Support OCR and image/video analytics projects.
Work with image, text, audio, and video datasets.
Perform Exploratory Data Analysis (EDA).
Create visualizations, reports, and dashboards.
Integrate AI models with web, mobile, and enterprise applications.
Develop APIs and microservices for AI applications.
Support cloud-based AI solutions.
Participate in AI research and proof-of-concept projects.
Participate in hackathons and innovation initiatives.
Follow Responsible AI, cybersecurity, data privacy, and ethical AI practices.
Collaborate with AI Engineers, Data Scientists, Developers, Product Teams, and Business Stakeholders.

Key Skills Required

Generative AI
Artificial Intelligence
Machine Learning
Deep Learning
Computer Vision
Large Language Models (LLMs)
Prompt Engineering
RAG (Retrieval-Augmented Generation)
Fine-tuning & Model Customization
Python / AI Programming
OpenCV
TensorFlow
PyTorch
YOLO
Object Detection
Image Classification
Image Segmentation
OCR
Image / Video Analytics
Exploratory Data Analysis (EDA)
Data Preprocessing
Feature Engineering
Data Pipelines
APIs & Microservices
Cloud-based AI Solutions
AI Chatbots
Virtual Assistants
Model Deployment & Monitoring
Version Control
Responsible AI
Data Privacy

Generative AI Skills

LLMs: Understanding and working with Large Language Models.
Prompt Engineering: Designing and testing effective prompts for AI applications.
RAG: Building Retrieval-Augmented Generation solutions.
Fine-Tuning: Supporting model customization and fine-tuning activities.
Multimodal AI: Working with multiple types of data including text, images, audio, and video.
AI Applications: Developing chatbots, virtual assistants, and enterprise AI solutions.

Computer Vision Skills

OpenCV
TensorFlow
PyTorch
YOLO
Object Detection
Image Classification
Image Segmentation
Object Tracking
OCR
Image Analytics
Video Analytics

Data & AI Development

Data Collection
Data Preprocessing
Data Validation
Feature Engineering
Exploratory Data Analysis
Data Visualization
Data Pipelines
Machine Learning Model Development
Deep Learning Model Development
Model Testing and Optimization
Model Deployment
Model Monitoring

Application & Cloud Technologies

APIs
Microservices
Web Applications
Mobile Applications
Enterprise Applications
Cloud-based AI Solutions
AI Model Deployment
Version Control

Responsible AI & Security

Responsible AI
Ethical AI Practices
Data Privacy
Cybersecurity Awareness
Secure AI Application Development
Responsible Handling of AI and Data

Selection Process

Online Application
Resume Screening
Initial Screening
Technical / AI Assessment
Technical Interview
HR / Final Discussion
Final Selection

The selection process may vary depending on L&T's recruitment requirements.

Why Apply?

Opportunity to build a career in Generative AI.
Gain practical exposure to LLMs and RAG.
Develop skills in Prompt Engineering.
Gain experience with Machine Learning and Deep Learning.
Work on Computer Vision and AI applications.
Gain exposure to multimodal AI technologies.
Develop AI-powered chatbots and enterprise solutions.
Work with Python and popular AI frameworks.
Gain exposure to APIs, microservices, and cloud-based AI solutions.
Participate in AI research and proof-of-concept projects.
Participate in hackathons and innovation initiatives.
Work with experienced AI Engineers, Data Scientists, and Developers.
Gain exposure to Responsible AI and data privacy practices.

Who Should Apply?

B.Tech graduates with an interest in AI and Generative AI.
M.Tech graduates specializing in AI, ML, Computer Science, or related fields.
Candidates with 0–2 years of experience.
Aspiring AI Engineers.
Machine Learning enthusiasts.
Deep Learning enthusiasts.
Candidates interested in LLMs and Generative AI.
Candidates with knowledge of Prompt Engineering and RAG.
Candidates interested in Computer Vision.
Candidates with Python and AI programming skills.
Candidates interested in AI research and innovation.
Candidates interested in developing enterprise AI solutions.

Application Deadline

Application End Date: February 9, 2027

Candidates are advised to apply before the stated application end date and verify the current status of the job on the official L&T Careers portal.

How to Apply?

Interested and eligible candidates can apply through the official L&T Careers portal using the application link provided above.

Candidates should review the complete job description, qualification requirements, experience criteria, location, application deadline, and other requirements before submitting their application.

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Disclaimer

The recruitment details are based on the provided L&T job information. Candidates should verify the latest qualification requirements, experience criteria, salary, application deadline, job status, location, and application details on the official L&T Careers portal before applying.

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L&T Hiring 2026 for GenAI Trainee in Mumbai. B.Tech/M.Tech candidates with 0–2 years of experience and skills in Generative AI, LLMs, RAG, Python, ML, DL, and Computer Vision can apply.

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