
Quick Summary: The L&T Off Campus Drive 2026 offers an opportunity for candidates to join as a GenAI Trainee at the L&T Innovation Campus, Powai. Candidates with a B.Tech or M.Tech qualification and 0β2 years of experience can apply. The role provides hands-on exposure to Machine Learning, Artificial Intelligence, Generative AI, Computer Vision, Data Analytics, Deep Learning, APIs, cloud-based AI solutions, and AI-driven business applications. The last date to apply is 9 February 2027.
π‘ What is a GenAI Trainee?
A GenAI Trainee supports the development and integration of Artificial Intelligence, Machine Learning, Generative AI, and Computer Vision solutions while gaining practical experience with modern AI technologies. At L&T, this role combines LLMs, prompt engineering, RAG, deep learning, data analytics, APIs, cloud-based AI solutions, and AI-driven enterprise applications to prepare candidates for future careers in AI and emerging technology.
Larsen & Toubro (L&T) is offering an opportunity for candidates to join as a GenAI Trainee under its DEIC-L&T Precision Engineering & Systems IC at the L&T Innovation Campus, Powai.
The L&T GenAI Trainee Recruitment 2026 is suitable for candidates with a strong interest in Artificial Intelligence, Machine Learning, Generative AI, Computer Vision, and Deep Learning. The role provides exposure to the development and integration of AI solutions across enterprise applications and business use cases.
Selected candidates will assist with machine learning model development, Generative AI applications, computer vision solutions, data analytics, AI solution integration, research and innovation activities, technical documentation, and collaboration with AI Engineers, Data Scientists, Software Developers, Product Teams, and Business Stakeholders.
π L&T Off Campus Drive 2026 β Overview
| π’ Company | Larsen & Toubro (L&T) |
| π Job Role | GenAI Trainee |
| π’ Job ID | LNT/GT/1820286 |
| π Job Category | Private Jobs |
| π Qualification | B.Tech/ M.Tech |
| π― Eligible Batch | 2024, 2025 & 2026 |
| πΌ Experience | Freshers / 0β2 Years |
| π Job Location | Powai, Mumbai, Maharashtra |
| π’ Work Location | L&T Innovation Campus, Powai |
| π§ Core Areas | Machine Learning, Artificial Intelligence, Generative AI, Computer Vision |
| π° Salary | Best in Industry |
| π Last Date | 9 February 2027 |
| π Official Website | www.larsentoubro.com |
π’ About L&T
Larsen & Toubro (L&T) is a major Indian engineering and technology organization with operations across engineering, technology, infrastructure, manufacturing, and other business areas.
The L&T GenAI Trainee Recruitment 2026 opportunity is offered under DEIC β L&T Precision Engineering & Systems IC at the L&T Innovation Campus, Powai.
This role reflects L&Tβs focus on applying emerging technologies to engineering and business solutions. As a GenAI Trainee, candidates can gain practical exposure to Artificial Intelligence, Machine Learning, Generative AI, Computer Vision, Data Analytics, Deep Learning, APIs, microservices, and cloud-based AI solutions.
πL&T GenAI Trainee Eligibility Criteria
Candidates applying for the L&T GenAI Trainee Recruitment 2026 should satisfy the following eligibility requirements.
- Educational Qualification: Bachelor of Technology (B.Tech) or Master of Technology (M.Tech).
- Experience: Candidates with 0β2 years of experience can apply.
- Technical Interest: Candidates should have an interest or knowledge in areas such as Machine Learning, Computer Vision, and Artificial Intelligence.
- AI/ML Interest: The role is suitable for candidates interested in Machine Learning, Deep Learning, Generative AI, and AI solution development.
- Learning Ability: Candidates should demonstrate a proactive attitude toward learning and adopting emerging technologies.
- Collaboration: Candidates should be comfortable working with AI Engineers, Data Scientists, Software Developers, Product Teams, and Business Stakeholders.
π‘ Candidate Note: The supplied job description specifically mentions B.Tech and M.Tech as the minimum qualification. It does not specify a particular engineering branch, percentage requirement, or eligible graduation batch.
π§ Key Technical Skills
| Skill Area | Relevant Technologies / Knowledge |
|---|---|
| π€ Artificial Intelligence | AI concepts, AI-driven business solutions and intelligent automation |
| π§ Machine Learning | ML and deep learning model development, training, validation and optimization |
| β¨ Generative AI | LLMs, multimodal AI, prompt engineering, RAG and model customization |
| ποΈ Computer Vision | Object detection, classification, segmentation, tracking and OCR |
| π Data Analytics | EDA, data visualization, reports, dashboards and data pipelines |
| π» AI Development | APIs, microservices, enterprise application integration and cloud-based AI solutions |
| π οΈ AI Frameworks | OpenCV, TensorFlow, PyTorch and YOLO |
πΌ About the GenAI Trainee Role
The L&T Off Campus Drive 2026 GenAI Trainee position is designed for candidates who want to build practical experience in Artificial Intelligence, Machine Learning, Generative AI, Computer Vision, and Deep Learning.
The role covers multiple stages of AI solution development, from data preparation and model development to testing, deployment, monitoring, integration, and documentation.
Trainees will also gain exposure to emerging Generative AI technologies, including Large Language Models (LLMs), multimodal AI models, prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning, AI-powered chatbots, and enterprise AI integrations.
π€ Machine Learning & Artificial Intelligence
- Assist in collecting, cleansing, preprocessing, and validating structured and unstructured datasets.
- Support the design, development, training, and evaluation of machine learning and deep learning models.
- Perform feature engineering, model tuning, and performance optimization.
- Conduct model validation, testing, benchmarking, and documentation.
- Assist with deploying and monitoring AI/ML models in development and production environments.
- Analyze model performance and recommend improvements in accuracy and efficiency.
β¨ Generative AI Development
- Assist in developing applications using Large Language Models (LLMs) and multimodal AI models.
- Support prompt engineering, prompt optimization, and response evaluation.
- Participate in RAG, fine-tuning, and model customization projects.
- Develop and test AI-powered chatbots, virtual assistants, and content-generation solutions.
- Evaluate model outputs for quality, factual accuracy, safety, and Responsible AI compliance.
- Integrate Generative AI capabilities into enterprise applications through APIs and frameworks.
ποΈ Computer Vision Engineering
- Assist in developing image and video analytics solutions using computer vision techniques.
- Support object detection, image classification, segmentation, tracking, and OCR models.
- Work with image and video datasets for annotation, labeling, augmentation, and preprocessing.
- Assist in training and evaluating deep learning models using OpenCV, TensorFlow, PyTorch, and YOLO.
- Support deployment and optimization of vision models for edge devices, cloud platforms, and real-time applications.
- Perform quality assessments and accuracy analysis of computer vision systems.
π Data Analytics & Engineering
- Conduct Exploratory Data Analysis (EDA) and generate insights from large datasets.
- Create visualizations, reports, and dashboards to communicate findings.
- Support development of data pipelines and workflows for AI applications.
- Ensure data quality, integrity, and governance standards are maintained.
- Assist in managing and processing image, text, audio, and video datasets.
π AI Solution Development & Integration
- Collaborate in building intelligent automation and AI-driven business solutions.
- Integrate AI, Generative AI, and Computer Vision models with web, mobile, and enterprise applications.
- Assist in developing APIs, microservices, and cloud-based AI solutions.
- Participate in software testing, debugging, and troubleshooting.
- Follow coding standards, version control, and software development best practices.
π¬ Research & Innovation
The L&T Off Campus Drive 2026Β also provides exposure to research and innovation activities across emerging AI technologies.
- Stay updated on advancements in AI, Machine Learning, Generative AI, Computer Vision, and Deep Learning.
- Conduct Proof-of-Concept (PoC) development for emerging technologies and use cases.
- Evaluate new AI frameworks, tools, and platforms for potential adoption.
- Contribute innovative ideas for improving AI products, services, and operational processes.
- Participate in technical discussions, hackathons, and innovation initiatives.
π Documentation & Compliance
Selected candidates will also contribute to technical documentation and follow organizational and industry requirements related to responsible AI development.
- Prepare technical documentation, model documentation, and project reports.
- Document datasets, training procedures, model evaluations, and deployment processes.
- Follow Responsible AI, cybersecurity, data privacy, and ethical AI guidelines.
- Ensure compliance with organizational, industry, and regulatory standards.
π‘ Important: The role is not limited to model development. It also involves documentation, compliance, data governance, responsible AI practices, testing, deployment, and integration of AI solutions.
π€ Collaboration & Learning
The GenAI Trainee will work in a collaborative environment involving technical and business teams. The role emphasizes continuous learning and the ability to adopt emerging technologies.
- Work closely with AI Engineers, Data Scientists, Software Developers, Product Teams, and Business Stakeholders.
- Participate in Agile ceremonies, code reviews, and team meetings.
- Continuously enhance technical knowledge through training, mentoring, and self-learning.
- Demonstrate a proactive attitude toward learning and adopting emerging technologies.
π― What You Can Gain From This Role
| Area | Practical Exposure |
|---|---|
| π€ Machine Learning | Model development, training, validation, tuning and performance optimization |
| β¨ Generative AI | LLMs, multimodal AI, prompt engineering, RAG and model customization |
| ποΈ Computer Vision | Object detection, classification, segmentation, tracking and OCR |
| π Data Engineering | EDA, data pipelines, data quality and governance |
| π AI Integration | APIs, microservices and enterprise application integration |
| βοΈ Cloud AI | Cloud-based AI solutions and model deployment |
| π¬ Innovation | PoCs, emerging AI frameworks, hackathons and innovation initiatives |
| π‘οΈ Responsible AI | AI safety, factual accuracy, cybersecurity, privacy and ethical AI |
β L&T GenAI Trainee Selection Process
The supplied L&T Off Campus Drive 2026Β job description does not specify a detailed stage-wise selection process, assessment pattern, or number of interview rounds. Therefore, candidates should refer to the official L&T recruitment portal and any communication received during the hiring process for the exact selection procedure.
Based on the requirements and responsibilities mentioned in the job description, candidates should be prepared to demonstrate their technical knowledge, problem-solving ability, learning attitude, and interest in emerging AI technologies.
| Stage | What Candidates Should Be Prepared For |
|---|---|
| π Application Screening | Review of educational qualification, experience and overall candidate profile. |
| π§ Technical Evaluation | Potential evaluation of knowledge related to Artificial Intelligence, Machine Learning, Generative AI, Computer Vision, Deep Learning and related technologies. |
| π» Technical Discussion | Candidates may need to discuss academic projects, technical concepts, AI/ML use cases, programming or relevant hands-on experience. |
| π¬ Interview / Evaluation | Assessment of problem-solving ability, communication, learning attitude and suitability for the role. |
| π Document Verification | Verification of educational and other information submitted during the recruitment process, where applicable. |
| π― Final Selection | Shortlisted candidates will receive further communication regarding selection and joining formalities. |
β οΈ Important: The exact selection rounds are not mentioned in the supplied job description. Candidates should not assume that the stages listed above are confirmed recruitment rounds. Follow the official L&T recruitment communication for the actual selection process.
π Career Growth Opportunities
The L&T GenAI Trainee Recruitment 2026 can provide a strong foundation for candidates looking to build careers in Artificial Intelligence, Machine Learning, Generative AI, Computer Vision, Data Science, AI Engineering, and Digital Transformation.
| Experience | Potential Career Progression |
|---|---|
| 0 β 2 Years | GenAI Trainee / AI-ML Trainee |
| 2 β 4 Years | AI/ML Engineer / GenAI Engineer / Computer Vision Engineer |
| 4 β 7 Years | Senior AI/ML Engineer / Senior GenAI Engineer / Data Scientist |
| 7 β 10 Years | Lead AI Engineer / AI Solution Architect / AI Technical Lead |
| 10+ Years | AI/ML Architect / AI Transformation Lead / AI Engineering Manager |
π‘ Career Note: The career progression shown above represents potential career pathways based on the skills developed through this type of role; it is not an official L&T-promised promotion structure.
The experience gained through this role can support career opportunities across Generative AI, Machine Learning, Deep Learning, Computer Vision, Data Analytics, AI Application Development, AI Automation, MLOps, Cloud AI, API & Microservices Development, Responsible AI, and AI Research & Innovation.
π How to Apply for L&T Off Campus Drive 2026?
Eligible candidates can apply online through the official L&T Careers recruitment portal for the GenAI Trainee position.
- Visit the official L&T job application page.
- Search for the position GenAI Trainee.
- Verify the job ID: LNT/GT/1820286.
- Review the qualification, experience, location, skills, and job responsibilities.
- Click the application option and complete the registration/login process.
- Enter your personal, educational, and professional details accurately.
- Upload your updated resume and other documents if requested.
- Review all information carefully before submitting the application.
- Submit the application before the specified deadline of 9 February 2027.
β° Last Date: Candidates should submit their application for the L&T GenAI Trainee position on or before 9 February 2027.
π L&T GenAI Trainee Recruitment 2026 β Important Links
| π Apply Online | Apply Here |
| π L&T Careers | Visit L&T Careers |
| π’ Official L&T Website | www.larsentoubro.com |
