L&T GenAI Trainee Recruitment 2026 is an entry-level opportunity for candidates interested in Artificial Intelligence, Machine Learning, Generative AI and related technologies. The role is listed for the L&T Innovation Campus in Powai, Mumbai, under L&T Precision Engineering & Systems.
The position is particularly relevant for candidates with a B.Tech or M.Tech background who have built projects or developed foundational skills in AI, machine learning, computer vision or related areas.
This article covers the available job information, eligibility, relevant skills, preparation areas, possible career directions and application guidance.
1. Quick Facts
| Particulars | Details |
|---|---|
| Company | L&T |
| Job Role | GenAI Trainee |
| Associated Position | GenAI Trainee |
| Requisition ID | LNT/GT/1820286 |
| Location | L&T Innovation Campus, Powai, Mumbai |
| Qualification | B.Tech / M.Tech |
| Experience | 0–2 years |
| Salary | Not specified in the available recruitment information |
| Work Schedule | Not specified |
| Key Technologies | AI, Machine Learning, Generative AI, LLMs, RAG, Computer Vision, OpenCV, TensorFlow, PyTorch, YOLO |
| Posted On | 13 August 2026 |
| Last Date to Apply | 9 February 2027, as stated in the provided recruitment information |
Important: Candidates should verify the current vacancy and closing date on L&T’s official careers portal before applying.
2. Fresher Preparation Checklist
If you are planning to apply for the GenAI Trainee position, focus your preparation on the areas most closely related to the role:
- Revise Python programming fundamentals
- Understand machine learning algorithms and model evaluation
- Review basic deep learning concepts
- Learn the fundamentals of LLMs and Generative AI
- Understand how RAG applications work
- Practice prompt engineering concepts
- Revise computer vision fundamentals if relevant to your profile
- Understand APIs and basic model deployment
- Revise Git and software development fundamentals
- Prepare explanations for your AI/ML projects
- Review your resume and highlight relevant projects
- Verify your eligibility before submitting the application
For freshers, projects can be particularly useful because they give you something concrete to discuss during technical interviews.
3. About L&T
Larsen & Toubro (L&T) is an Indian engineering and technology-focused organisation with operations across multiple industries and geographies. Its businesses span areas including engineering, construction, manufacturing, technology, energy and other specialised sectors.
The company also invests in technology, digital transformation and employee development. Its official careers information highlights structured learning and development initiatives and opportunities for young engineering talent.
L&T’s campus recruitment program focuses on building an early-career talent pipeline. The company says its trainee programs are designed to help fresh graduates transition from campus to corporate work through orientation, technical projects, assignments and structured learning.
For candidates interested in AI and emerging technologies, a role connected with L&T’s technology-focused businesses can provide exposure to enterprise-level engineering environments.
4. About the GenAI Trainee Role
The GenAI Trainee position is aimed at candidates beginning their careers in artificial intelligence and related technologies.
Instead of being limited to conventional software development, the role covers areas such as machine learning, deep learning, Generative AI, large language models, computer vision and AI-based applications.
Based on the recruitment information provided, trainees may contribute to activities such as preparing data, developing and testing models, experimenting with Generative AI solutions and supporting AI application development.
The role can therefore suit candidates who enjoy both programming and experimentation with AI technologies.
5. Responsibilities
The exact day-to-day work can vary depending on the project or team. The available recruitment information indicates responsibilities may include:
- Prepare and clean datasets for AI/ML applications
- Support machine learning and deep learning model development
- Perform basic feature engineering and data analysis
- Test models and compare their performance
- Assist with model optimisation and evaluation
- Work with Generative AI concepts such as LLMs and RAG
- Support AI-powered application development
- Experiment with prompts and evaluate AI-generated responses
- Work on computer vision tasks where required
- Assist with documentation and technical testing
- Support deployment-related activities for AI solutions
The role is likely to involve learning alongside experienced professionals rather than expecting a fresher to independently handle an entire AI system from day one.
7. Why This Role Is Useful for Freshers
A GenAI-focused trainee position can be useful for someone who wants practical exposure across several parts of the AI ecosystem.
| Area | What a Fresher Can Learn |
|---|---|
| Machine Learning | Model development, evaluation and optimisation |
| Deep Learning | Neural networks and model training |
| Generative AI | LLM applications, prompting and evaluation |
| RAG | Connecting language models with external information |
| Computer Vision | Image processing and vision-based applications |
| APIs | Connecting AI models with software applications |
| Data | Data cleaning, preparation and analysis |
| Enterprise IT | Working with structured development processes |
Possible Career Directions
Depending on the experience gained and future skills developed, possible career directions include:
- AI Engineer
- Machine Learning Engineer
- Generative AI Engineer
- Computer Vision Engineer
- AI Software Engineer
- Data Scientist
- MLOps Engineer
- NLP Engineer
These are possible career directions, not guaranteed job titles or promotions.
8. Eligibility Criteria
| Requirement | Details |
|---|---|
| Degree | B.Tech / M.Tech |
| Experience | 0–2 years |
| Skills | AI, Machine Learning and related technologies |
| Location | Powai, Mumbai |
| Shift Requirement | Not specified |
| Other Requirements | Candidates should verify the complete requirements in the official vacancy |
The 0–2 year experience range makes the position relevant to fresh graduates and early-career candidates, subject to the complete eligibility criteria of the actual vacancy.
9. Skills Required
Programming
- Python fundamentals
- Basic programming concepts
- Data structures and problem solving
- Object-oriented programming fundamentals
Machine Learning
- Supervised and unsupervised learning
- Model evaluation
- Feature engineering
- Data preprocessing
- Basic model optimisation
Generative AI
- Large Language Models
- Prompt engineering
- Retrieval-Augmented Generation
- AI APIs
- Basic understanding of model evaluation
Computer Vision
Where relevant to the assigned project:
- OpenCV
- Image preprocessing
- Object detection
- Image classification
- YOLO
- OCR
Deep Learning
- Neural networks
- Model training
- TensorFlow or PyTorch fundamentals
Development & Tools
- REST APIs
- Git
- Testing and debugging
- Basic cloud concepts
- Data analysis
Other Skills
- Analytical thinking
- Problem solving
- Technical communication
- Ability to learn new technologies
- Team collaboration
Candidates do not necessarily need to master every technology listed above. The strongest approach is to understand the fundamentals and be able to demonstrate genuine project experience.
10. Preparation Tips
Step 1: Revise Python and Programming
Practice:
- Python fundamentals
- Functions and modules
- Lists, dictionaries and sets
- OOP concepts
- Basic data structures
- Problem-solving questions
Step 2: Strengthen Machine Learning
Revise:
- Regression
- Classification
- Clustering
- Train/test split
- Overfitting and underfitting
- Accuracy, precision, recall and F1-score
- Feature engineering
- Model evaluation
You should also be able to explain one ML project from your own experience.
Step 3: Prepare for Generative AI
Understand:
- What an LLM is
- How prompts affect model responses
- What embeddings are
- What RAG means
- Why vector databases are used
- Basic LLM application architecture
- AI response evaluation
You do not need to pretend you built the next ChatGPT in a college project. Being able to clearly explain a small working project is much more useful.
Step 4: Review Computer Vision
If your resume contains computer vision projects, revise:
- Image preprocessing
- OpenCV
- CNN fundamentals
- Object detection
- YOLO
- OCR
- Image augmentation
Step 5: Interview Preparation
Prepare to explain:
- Your projects
- Why you selected particular technologies
- Problems you faced
- How you tested your solution
- How you would improve the project
- Basic ML and AI concepts
- Basic programming questions
Step 6: Resume Preparation
- Match your genuine skills with the job requirements
- Highlight AI/ML projects
- Mention relevant certifications if they are meaningful
- Keep the technical skills section accurate
- Remove technologies you cannot explain
- Keep the resume concise
11. Work Schedule
Work schedule: Not specified in the available recruitment information.
Candidates should confirm the current work arrangement and schedule through the official recruitment communication.
12. Salary
Salary: Not specified in the available recruitment information.
Compensation can vary based on company, role, location, qualifications and skills. Candidates should confirm the actual compensation through the official recruitment communication.
13. Selection Process
The specific selection process for this GenAI Trainee vacancy has not been independently confirmed from the available job information.
Possible Selection Process
Candidates may encounter stages such as:
- Resume screening
- Online assessment or technical test
- Technical interview
- Managerial or project discussion
- HR discussion
- Document verification
- Onboarding
Note: These are possible recruitment stages and are not confirmed for every hiring drive. The actual process may vary.
L&T’s official campus recruitment information says its broader trainee selection process can include an online test, personal interview and medical examination, but that should not be treated as confirmation of the exact process for this specific GenAI Trainee vacancy.
14. How to Apply
Application Steps
- Visit the official L&T careers portal.
- Search for GenAI Trainee.
- Check the location and business unit.
- Verify the requisition ID LNT/GT/1820286, if shown.
- Review the current eligibility requirements.
- Prepare your updated resume.
- Complete the application form.
- Submit the application through the official portal.
- Save your application details for future reference.
Official L&T Careers Portal:
L&T also maintains a recruitment caution page warning candidates about fraudulent job offers. The company states that it does not ask candidates for money during recruitment.
15. Important Points Before Applying
- Confirm that your degree meets the stated requirement.
- Check the 0–2 year experience condition.
- Verify the Powai, Mumbai location.
- Check the latest vacancy status before applying.
- Make sure your resume reflects your actual AI/ML skills.
- Prepare to explain your projects clearly.
- Verify the requisition ID before submission.
- Apply through the official recruitment channel.
- Never pay anyone for a job opportunity.
- Do not share sensitive personal or financial information with unverified recruiters.
16. FAQs
Is the L&T GenAI Trainee role suitable for freshers?
The listed experience requirement is 0–2 years, so the role is relevant to freshers and early-career candidates, subject to the complete eligibility requirements.
What qualification is required?
The recruitment information provided lists B.Tech / M.Tech as the qualification.
What technologies are relevant to the role?
Relevant areas include Machine Learning, Deep Learning, Generative AI, LLMs, RAG and Computer Vision. Technologies mentioned in the available information include OpenCV, TensorFlow, PyTorch and YOLO.
Is coding required for the GenAI Trainee role?
Programming knowledge is useful for an AI-focused role. Candidates should be comfortable with programming fundamentals and preferably have practical experience with Python or another relevant language.
What is the salary for the L&T GenAI Trainee position?
The salary is not specified in the available recruitment information. Candidates should confirm compensation through the official recruitment process.
Is rotational shift work required?
The available recruitment information does not specify a rotational shift requirement. Candidates should confirm the work schedule with L&T.
Is work from home available?
The available recruitment information does not specify the work-from-home arrangement. Candidates should confirm the current work model through the employer.
What can I prepare before applying?
Focus on Python, machine learning fundamentals, Generative AI, LLM concepts, RAG, basic computer vision and your own AI/ML projects. Also prepare to explain your technical decisions clearly during an interview.
17. Related Job Opportunities
Candidates exploring other entry-level technology opportunities can also check:
- [Add internal link: HP Field Technical Support Associate Recruitment 2026]
- [Add internal link: WEX Software Development Engineer 1 Recruitment 2026]
- [Add internal link: Emerson Intern – Technology Recruitment 2026]
- [Add internal link: Pitney Bowes Graduate Engineer Trainee Recruitment 2026]
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Older related article → L&T GenAI Trainee article
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18. Simple Technology Workflow
A simplified view of how some technologies associated with the role can fit together is:
Data
↓
Preprocessing & Analysis
↓
Machine Learning / Deep Learning
↓
LLM / Generative AI / Computer Vision
↓
RAG / AI Application
↓
API & Application Integration
↓
Testing & Deployment
Note: This is a simplified explanation of the technologies mentioned in the recruitment information and is not L&T’s internal architecture.
19. Final Thoughts
The L&T GenAI Trainee position can be relevant for B.Tech and M.Tech candidates who want to begin their careers in AI and emerging technologies.
The role covers a broad technical area, including machine learning, Generative AI, LLMs, RAG and potentially computer vision. Candidates with practical projects and a clear understanding of their fundamentals can use this type of opportunity to build relevant industry experience.
Before applying, verify the latest vacancy, eligibility requirements, location, application deadline and compensation through L&T’s official careers portal.
20. Disclaimer
Disclaimer: This article is provided for informational purposes based on the available recruitment information. Job availability, eligibility requirements, salary, locations, work arrangements and selection procedures may change. MahaboardSolutions is not the employer and does not guarantee selection or employment. Candidates should verify the latest information through the company’s official careers portal before applying.