Candidates looking for the latest Generative AI Jobs and Machine Learning Jobs for Freshers can now apply for the GenAI Trainee role at L&T. This is an excellent opportunity for B.Tech graduates and candidates with 0–2 years of experience who want to build their careers in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Computer Vision, and Data Analytics.
The position is available at L&T Innovation Campus, Powai, under L&T Precision Engineering & Systems. Selected candidates will get an opportunity to work with AI Engineers, Data Scientists, Software Developers, Product Teams, and business stakeholders on real-world AI solutions.
This role is ideal for candidates who are passionate about AI, LLMs, RAG, Computer Vision, Python-based AI development, Machine Learning, and emerging technologies.
L&T Hiring 2026 – Overview
| Particulars | Details |
|---|---|
| Company | L&T |
| Job Role | GenAI Trainee |
| Job ID | LNT/GT/1820562 |
| Job Location | L&T Innovation Campus, Powai |
| Experience | 0–2 Years |
| Qualification | B.Tech |
| Skills | Artificial Intelligence, Machine Learning |
| Job Type | Trainee Opportunity |
| Posted On | 13 August 2026 |
| Application End Date | 09 February 2027 |
About the Role
As a GenAI Trainee, you will work across multiple exciting technology areas, including Machine Learning, Artificial Intelligence, Generative AI, Large Language Models, Computer Vision, Data Analytics, and AI Solution Development.
You will assist in collecting and preparing datasets, training and evaluating AI models, developing Generative AI applications, working with LLMs, and supporting the development of intelligent business solutions.
The role also provides exposure to modern AI technologies such as RAG, prompt engineering, fine-tuning, multimodal AI, AI-powered chatbots, OpenCV, TensorFlow, PyTorch, YOLO, APIs, microservices, and cloud-based AI solutions.
Key Responsibilities
| Area | Responsibilities |
|---|---|
| Machine Learning | Support AI/ML model development, training, testing, and evaluation |
| Data Processing | Collect, cleanse, preprocess, and validate structured and unstructured datasets |
| Model Optimization | Perform feature engineering, model tuning, and performance optimization |
| Generative AI | Assist in developing applications using LLMs and multimodal AI models |
| Prompt Engineering | Support prompt development, optimization, and response evaluation |
| RAG & Fine-Tuning | Participate in RAG, model fine-tuning, and customization projects |
| AI Applications | Develop and test AI-powered chatbots and content generation solutions |
| Computer Vision | Support image classification, object detection, segmentation, tracking, and OCR |
| Data Analytics | Perform EDA, generate insights, and create reports and dashboards |
| AI Integration | Integrate AI models with web, mobile, and enterprise applications |
| Research | Explore new AI frameworks, tools, and emerging technologies |
| Documentation | Prepare technical, model, dataset, and project documentation |
Generative AI & LLM Responsibilities
Candidates will get exposure to the growing field of Generative AI development. Some of the key activities include:
- Working with Large Language Models (LLMs)
- Supporting prompt engineering and prompt optimization
- Evaluating AI-generated responses for quality and accuracy
- Participating in Retrieval-Augmented Generation (RAG) projects
- Supporting model fine-tuning and customization
- Developing AI-powered chatbots and virtual assistants
- Building content generation solutions
- Integrating Generative AI capabilities using APIs and frameworks
- Following Responsible AI and AI safety practices
This makes the opportunity particularly valuable for candidates interested in starting a career in the rapidly growing GenAI industry.
Computer Vision Responsibilities
The GenAI Trainee role also offers exposure to Computer Vision and Deep Learning technologies.
Candidates may work on:
- Image and video analytics
- Object detection
- Image classification
- Image segmentation
- Object tracking
- OCR solutions
- Dataset annotation and labeling
- Data augmentation and preprocessing
- Training deep learning models
- Model accuracy and quality assessment
Candidates may also gain exposure to popular AI and Computer Vision technologies such as:
- OpenCV
- TensorFlow
- PyTorch
- YOLO
Data Analytics & AI Engineering
Candidates will support data-related activities required for AI applications and business solutions.
Responsibilities may include:
- Performing Exploratory Data Analysis (EDA)
- Analyzing large datasets
- Identifying trends and generating insights
- Creating reports and visualizations
- Supporting dashboards and analytics workflows
- Developing data pipelines for AI applications
- Maintaining data quality and integrity
- Processing image, text, audio, and video datasets
- Following data governance standards
AI Solution Development
As part of the role, candidates may collaborate on the development of intelligent and AI-driven solutions.
Key areas include:
- Building intelligent automation solutions
- Integrating AI and ML models into applications
- Working with Generative AI solutions
- Connecting AI models with web and enterprise applications
- Supporting API and microservices development
- Working on cloud-based AI solutions
- Software testing and debugging
- Troubleshooting technical issues
- Following coding and version control best practices
Skills Required
| Category | Skills |
|---|---|
| Artificial Intelligence | AI fundamentals and AI solution development |
| Machine Learning | Model development, training, testing, and evaluation |
| Generative AI | LLMs, prompt engineering, RAG, and fine-tuning |
| Deep Learning | Knowledge of deep learning concepts |
| Computer Vision | Object detection, classification, segmentation, and OCR |
| Data Analytics | EDA, data analysis, reporting, and visualization |
| AI Frameworks | TensorFlow, PyTorch, OpenCV, and YOLO exposure |
| Development | APIs, microservices, testing, and debugging |
| Soft Skills | Problem-solving, communication, teamwork, and learning mindset |
| Additional Skills | Research, innovation, documentation, and Responsible AI |
Educational Qualification
| Criteria | Details |
|---|---|
| Minimum Qualification | Bachelor of Technology (B.Tech) |
| Experience Required | 0–2 Years |
| Preferred Domain | Artificial Intelligence & Machine Learning |
| Suitable For | Freshers and early-career candidates |
| Key Requirement | Strong interest in AI and emerging technologies |
Research & Innovation Opportunities
L&T is looking for candidates who are interested in continuously learning and exploring emerging technologies.
Candidates may get opportunities to:
- Stay updated with AI and Machine Learning advancements
- Explore Generative AI and Computer Vision technologies
- Develop Proof-of-Concepts (PoCs)
- Evaluate new AI tools and frameworks
- Contribute innovative ideas to AI products and solutions
- Participate in technical discussions
- Take part in hackathons and innovation initiatives
- Explore real-world AI use cases
Why Consider This L&T GenAI Trainee Opportunity?
This opportunity is a strong option for B.Tech candidates who want to enter the AI and Generative AI field.
The role provides exposure to multiple high-demand technologies instead of focusing on just one area. Candidates can potentially gain experience in:
- Artificial Intelligence
- Machine Learning
- Generative AI
- Large Language Models
- RAG
- Prompt Engineering
- Deep Learning
- Computer Vision
- Data Analytics
- AI APIs and Integration
- Intelligent Automation
- Responsible AI
Candidates will also work closely with experienced technical teams and continuously improve their skills through training, mentoring, self-learning, Agile practices, code reviews, and technical collaboration.
How to Apply
Interested candidates should apply for the GenAI Trainee – Job ID LNT/GT/1820562 opportunity through the official L&T careers portal.
Before applying, make sure your resume highlights relevant skills and experience such as:
- AI or Machine Learning projects
- Generative AI projects
- LLM or chatbot projects
- Python and programming skills
- Computer Vision projects
- Data Analytics projects
- Hackathons and technical competitions
- Certifications and online courses
- Internships or academic projects
Final Conclusion
The latest L&T Hiring 2026 for the GenAI Trainee role is an exciting opportunity for B.Tech graduates with 0–2 years of experience who want to start or grow their careers in Artificial Intelligence and Machine Learning.
With exposure to Generative AI, LLMs, RAG, Deep Learning, Computer Vision, Data Analytics, AI model development, and intelligent automation, this role can help candidates build practical skills in some of today’s most in-demand technology areas.
