L&T Hiring 2026 | GenAI Trainee | Mumbai | 0–2 Years | Apply Now
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L&T Hiring – GenAI Trainee Opportunity
Larsen & Toubro (L&T) is hiring for the position of GenAI Trainee in Powai, Mumbai, Maharashtra, India. This is a full-time trainee opportunity for candidates with 0–2 years of experience and a strong interest in Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Large Language Models, and Computer Vision.
The selected candidate will work on AI and Generative AI initiatives, including AI model development, proof-of-concepts, computer vision applications, LLM-based solutions, data pipelines, APIs, model deployment, and optimization.
About Larsen & Toubro
Larsen & Toubro (L&T) is a major Indian multinational engineering and technology company operating across engineering, construction, technology, manufacturing, and other business sectors. L&T works on large-scale infrastructure, technology, engineering, and digital transformation initiatives.
Job Details
Company Name: Larsen & Toubro (L&T)
Position: GenAI Trainee
Job ID: LNT/GT/1820286
Job Type: Full-Time – Trainee
Location: Powai, Mumbai, Maharashtra, India
Experience: 0–2 Years
Qualification: B.Tech or M.Tech
Salary: Not Disclosed
Eligibility Criteria
- B.Tech or M.Tech degree.
- 0–2 years of relevant experience.
- Knowledge of Artificial Intelligence and Machine Learning.
- Understanding of Deep Learning concepts.
- Knowledge of Generative AI and Large Language Models.
- Understanding of prompt engineering and Retrieval-Augmented Generation (RAG).
- Knowledge of Computer Vision concepts.
- Familiarity with OpenCV, TensorFlow, PyTorch, or YOLO.
- Understanding of object detection, classification, segmentation, tracking, and OCR.
- Ability to work with structured and unstructured datasets.
- Understanding of AI model development, testing, validation, and deployment.
- Good problem-solving and analytical skills.
- Good collaboration and communication skills.
- Willingness to learn emerging AI technologies.
- Interest in participating in PoCs, hackathons, and innovation initiatives.
Job Description
L&T is looking for a GenAI Trainee to support Artificial Intelligence and Generative AI initiatives. The role provides an opportunity to work with modern AI technologies and contribute to the development of innovative AI-based solutions.
The selected candidate will work with technologies such as Machine Learning, Deep Learning, Generative AI, LLMs, RAG, Computer Vision, OpenCV, TensorFlow, PyTorch, YOLO, and Python. The role may also involve developing PoCs, preparing data pipelines, integrating APIs, and supporting AI model deployment and optimization.
Key Responsibilities
- Support the development of Artificial Intelligence and Machine Learning solutions.
- Work on Generative AI and LLM-based applications.
- Assist with prompt engineering and RAG-based solutions.
- Support AI proof-of-concept development.
- Work with structured and unstructured datasets.
- Perform data analysis and exploratory data analysis (EDA).
- Develop and maintain AI-related data pipelines.
- Work on Computer Vision applications.
- Implement computer vision techniques including object detection, classification, segmentation, and tracking.
- Work with OCR-based solutions where required.
- Use OpenCV, TensorFlow, PyTorch, and YOLO for AI and computer vision development.
- Support AI model development, testing, and validation.
- Assist with model deployment and optimization.
- Work with APIs and microservices for AI applications.
- Support cloud-based AI solutions.
- Follow responsible AI and responsible model development practices.
- Use version control and software development practices.
- Participate in PoCs, hackathons, and innovation initiatives.
- Collaborate with technical teams to develop AI solutions.
Key Skills Required
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Fine-Tuning
- Model Customization
- Computer Vision
- OpenCV
- TensorFlow
- PyTorch
- YOLO
- Python
- Data Analytics
- Exploratory Data Analysis
- Data Pipelines
- APIs
- Microservices
- Cloud-Based AI Solutions
- Model Deployment
- Model Optimization
- Responsible AI
- Version Control
- Software Development
Generative AI Skills
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Fine-Tuning
- Model Customization
- AI Proof-of-Concept Development
- LLM Application Development
Computer Vision Skills
- Computer Vision
- Object Detection
- Image Classification
- Image Segmentation
- Object Tracking
- Optical Character Recognition (OCR)
- OpenCV
- YOLO
- TensorFlow
- PyTorch
AI Development & Deployment
- AI Model Development
- Model Testing
- Model Validation
- Model Deployment
- Model Optimization
- Data Pipelines
- APIs
- Microservices
- Cloud-Based AI Solutions
- Version Control
- Software Development
Preferred Skills
- Hands-on AI/ML project experience.
- Generative AI project experience.
- Computer Vision project experience.
- Experience with LLMs and RAG.
- Experience with OpenCV, TensorFlow, PyTorch, or YOLO.
- Knowledge of cloud-based AI solutions.
- Knowledge of APIs and microservices.
- Experience building AI proof-of-concepts.
- Participation in AI hackathons or innovation initiatives.
- Strong willingness to learn emerging AI technologies.
Selection Process
- Online Application
- Resume Screening
- Technical Assessment
- AI / Machine Learning Technical Interview
- Technical / Managerial Discussion
- HR Discussion
- Final Selection
The selection process may vary depending on L&T's recruitment requirements.
Why Apply?
- Opportunity to start a career in Generative AI.
- Gain practical exposure to Artificial Intelligence and Machine Learning.
- Work with Large Language Models and RAG.
- Develop skills in prompt engineering and AI application development.
- Gain exposure to Computer Vision technologies.
- Work with OpenCV, TensorFlow, PyTorch, and YOLO.
- Learn AI model deployment and optimization.
- Gain experience with APIs, microservices, and cloud-based AI solutions.
- Participate in AI PoCs, hackathons, and innovation initiatives.
- Build a career in AI and emerging technologies.
- Work with a leading engineering and technology organization.
Who Should Apply?
- B.Tech graduates interested in Artificial Intelligence.
- M.Tech graduates specializing in AI, ML, Data Science, or related fields.
- Fresh graduates with AI/ML project experience.
- Candidates with 0–2 years of experience.
- Aspiring Generative AI Engineers.
- Aspiring Machine Learning Engineers.
- Aspiring Computer Vision Engineers.
- Candidates with Python and AI programming skills.
- Candidates with LLM, RAG, or prompt engineering knowledge.
- Candidates familiar with TensorFlow, PyTorch, OpenCV, or YOLO.
- Candidates interested in AI PoCs, hackathons, and innovation projects.
Important Note
This is a full-time trainee opportunity based in Powai, Mumbai, for candidates with 0–2 years of experience. Candidates should review the official L&T job listing for the latest eligibility criteria, job status, recruitment process, and employment details before applying.
How to Apply?
Interested and eligible candidates can apply for the L&T GenAI Trainee position through the official L&T Careers application portal using the application link provided above.
Candidates should highlight relevant projects and skills in Python, Machine Learning, Generative AI, LLMs, RAG, Computer Vision, TensorFlow, PyTorch, OpenCV, YOLO, data analytics, APIs, and cloud-based AI solutions in their resume.
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Disclaimer
The recruitment details are based on the provided L&T GenAI Trainee job information. Candidates should verify the latest eligibility criteria, job description, job status, location, employment terms, and application details on the official L&T Careers portal before applying.
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L&T Hiring 2026 | GenAI Trainee | Mumbai | 0–2 Years | Apply Now
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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 AI, ML, Generative AI, LLMs, RAG, Python, Computer Vision, TensorFlow, and PyTorch can apply.

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