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Larsen & Toubro GenAI Trainee Recruitment 2026 – Apply for AI, Machine Learning & Computer Vision Job in Mumbai | Placement Officer
🚀 Larsen & Toubro
(L&T) is hiring GenAI Trainees in Mumbai! This is an exciting
opportunity for BTech and MTech graduates/postgraduates who want to
build a career in Generative AI, Machine Learning, Artificial Intelligence,
Deep Learning, Computer Vision, Data Analytics and AI-powered application
development.
The position is offered under DEIC
– L&T Precision Engineering & Systems IC at the L&T
Innovation Campus, Powai, Mumbai. The role is particularly attractive for
candidates with 0–2 years of experience who want hands-on exposure to
emerging technologies such as Large Language Models (LLMs),
Retrieval-Augmented Generation (RAG), prompt engineering, multimodal AI,
OpenCV, TensorFlow, PyTorch and YOLO.
📌 Job Reference:
LNT/GT/1820286
🏢 Company: Larsen & Toubro
💼 Position: GenAI Trainee
📍 Location: L&T Innovation Campus, Powai, Mumbai
🎓 Qualification: BTech / MTech
💻 Experience: 0–2 years
📅 Posted On: 13 August 2026
⏳ Application Deadline: 9 February 2027
🧠 Key Areas: Generative AI, Machine Learning, Computer Vision,
Artificial Intelligence, Data Analytics
🔎 Quick Summary – L&T GenAI Trainee Recruitment 2026
|
Particular |
Details |
|
Company |
Larsen &
Toubro (L&T) |
|
Job Role |
GenAI
Trainee |
|
Job ID |
LNT/GT/1820286 |
|
Business Unit |
DEIC –
L&T Precision Engineering & Systems IC |
|
Work Location |
L&T
Innovation Campus, Powai, Mumbai |
|
Experience |
0–2 years |
|
Qualification |
BTech /
MTech |
|
Primary Skills |
AI, Machine
Learning, Computer Vision |
|
Additional Skills |
GenAI, LLMs,
RAG, Deep Learning, Data Analytics |
|
Posted Date |
13 August
2026 |
|
Last Date |
9 February
2027 |
|
Job Type |
Trainee /
Entry-Level AI Opportunity |
|
Suitable For |
Freshers
& early-career AI/ML professionals |
⭐ Important: The supplied
job description does not specify a particular graduation batch.
Therefore, the batch eligibility below is an informed assessment rather than an
official L&T batch restriction.
🎯 Batches Eligible for L&T GenAI Trainee Recruitment
Based on the advertised 0–2
years of experience requirement, BTech/MTech qualification and the nature
of this entry-level trainee position, candidates from recent and upcoming
graduating batches may be relevant.
Likely eligible batches
✅ 2024 Batch – Potentially
eligible if within the 0–2 years experience window
✅ 2025 Batch – Strong fit
✅ 2026 Batch – Strong fit
✅ 2027 Batch – Potentially eligible, subject to L&T's application
and graduation requirements
⚠️ 2028 Batch – Eligibility is uncertain unless L&T permits students
graduating later to apply
Important clarification
L&T's supplied description only
states:
·
BTech &
MTech
·
0–2 years
experience
·
AI/ML/Computer
Vision skills
It does not explicitly mention
2026, 2027 or 2028 batch eligibility.
Therefore, students should
carefully verify their eligibility in the official application portal before
applying.
🏢 About Larsen & Toubro
Larsen & Toubro (L&T) is one of India's major engineering and technology groups, with
businesses spanning engineering, construction, manufacturing, technology and
other sectors.
L&T's careers information
highlights opportunities for both experienced professionals and young
engineering talent. Its campus recruitment ecosystem includes Graduate Engineer
Trainees and other early-career programmes, with emphasis on technical
foundations, conceptual clarity, commitment and learning ability.
L&T also describes structured
orientation and training for fresh entrants, including technical projects,
assignments, simulations and technical/non-technical development activities.
💼 L&T GenAI Trainee Job Description 2026
The GenAI Trainee role is
considerably broader than a conventional entry-level AI position.
The selected candidate may work
across multiple technology areas, including:
1. 🤖 Machine Learning & Artificial Intelligence
The trainee will assist with:
·
Collecting
datasets
·
Cleaning and
preprocessing data
·
Validating
structured and unstructured data
·
Developing machine
learning models
·
Training deep
learning models
·
Evaluating
model performance
·
Feature
engineering
·
Model tuning
·
Performance
optimization
·
Model
validation and testing
·
Benchmarking
AI models
·
Preparing
technical documentation
·
Supporting
deployment and monitoring
Candidates should therefore
understand the fundamentals of supervised learning, unsupervised learning,
model evaluation, overfitting, feature engineering and optimization.
🧠 2. Generative AI Development
This is one of the most exciting
components of the role.
Candidates may work with:
·
Large Language
Models (LLMs)
·
Multimodal AI
·
Prompt
engineering
·
Prompt
optimization
·
Response
evaluation
·
Retrieval-Augmented
Generation (RAG)
·
Fine-tuning
·
Model
customization
·
AI chatbots
·
Virtual
assistants
·
Content-generation
applications
·
AI APIs
·
Generative AI
frameworks
The role also emphasizes evaluating
AI outputs for:
✅ Quality
✅ Factual accuracy
✅ Safety
✅ Compliance
✅ Responsible AI practices
👁️ 3. Computer Vision Engineering
Computer Vision is another major
part of the position.
The trainee may support:
·
Object
detection
·
Image
classification
·
Image
segmentation
·
Object
tracking
·
OCR
·
Image
preprocessing
·
Video
analytics
·
Image
annotation
·
Dataset
labeling
·
Data
augmentation
·
Deep learning
models
·
Vision model
evaluation
·
Edge AI
deployment
·
Real-time
computer vision applications
🛠️ Technologies mentioned in the job description
The job specifically references
technologies/frameworks such as:
·
OpenCV
·
TensorFlow
·
PyTorch
·
YOLO
Therefore, candidates who have
completed computer vision projects using these tools can potentially strengthen
their applications.
📊 4. Data Analytics & Engineering
The role also involves
data-oriented responsibilities.
Candidates may work on:
·
Exploratory
Data Analysis (EDA)
·
Data
visualization
·
Data reporting
·
Dashboards
·
Data pipelines
·
AI data
workflows
·
Data quality
·
Data integrity
·
Data
governance
·
Image datasets
·
Text datasets
·
Audio datasets
·
Video datasets
Recommended knowledge
A candidate should ideally be
comfortable with:
Python + Pandas + NumPy + Matplotlib/Seaborn + SQL + basic
statistics
⚙️ 5. AI Solution Development & Integration
The role goes beyond model
development.
Candidates may also participate in
integrating AI technologies into:
·
Web
applications
·
Mobile
applications
·
Enterprise
applications
·
APIs
·
Microservices
·
Cloud-based AI
solutions
Other responsibilities include:
·
Software
testing
·
Debugging
·
Troubleshooting
·
Version
control
·
Coding
standards
·
Software
development best practices
💡 Unique Pointer: This
means the role can provide exposure to the complete AI lifecycle—from data →
model → evaluation → API → application → deployment.
🔬 6. Research & Innovation
L&T expects trainees to remain
updated with rapidly changing AI technologies.
Responsibilities include:
·
Building
Proofs of Concept (PoCs)
·
Evaluating
emerging AI frameworks
·
Exploring new
tools and platforms
·
Contributing
innovative ideas
·
Participating
in technical discussions
·
Participating
in hackathons
·
Supporting
innovation initiatives
This makes the role particularly
suitable for candidates who enjoy experimentation and AI research rather
than only routine coding.
📚 7. Documentation & Responsible AI
Candidates will also contribute to:
·
Technical
documentation
·
Model
documentation
·
Dataset
documentation
·
Training
procedures
·
Model
evaluation reports
·
Deployment
documentation
·
Responsible AI
·
Cybersecurity
·
Data privacy
·
Ethical AI
·
Regulatory
compliance
⚠️ This is important because modern
enterprise AI development increasingly requires more than model accuracy.
Candidates must understand security, privacy, responsible AI and governance.
🤝 8. Collaboration & Continuous Learning
The trainee will potentially
collaborate with:
·
AI Engineers
·
Data
Scientists
·
Software
Developers
·
Product Teams
·
Business
Stakeholders
The job also mentions:
·
Agile
ceremonies
·
Code reviews
·
Team meetings
·
Training
·
Mentoring
·
Self-learning
·
Adoption of
emerging technologies
🎓 Educational Qualification
Required Qualification
🎓 Bachelor of Technology
(BTech)
or
🎓 Master of Technology (MTech)
Candidates from relevant technical
disciplines such as:
·
Computer
Science Engineering
·
Artificial
Intelligence
·
Machine
Learning
·
Data Science
·
Information
Technology
·
Electronics
& related technical disciplines
may find the role particularly
aligned with their background, although applicants should verify the exact
qualification criteria on the application portal.
🧩 Essential Skills Required for L&T GenAI Trainee
To maximize your chances of getting
shortlisted, focus on the following skills.
⭐ Must-Have Technical Skills
1.
Python
Programming
2.
Machine
Learning fundamentals
3.
Deep Learning
fundamentals
4.
Artificial
Intelligence concepts
5.
Data
preprocessing
6.
Exploratory
Data Analysis
7.
Model
evaluation
8.
Computer
Vision fundamentals
9.
Generative AI
fundamentals
10. Prompt Engineering
11. LLM concepts
12. RAG fundamentals
13. Git/version control
14. API integration
🚀 Highly Valuable Skills
·
PyTorch
·
TensorFlow
·
OpenCV
·
YOLO
·
Hugging Face
·
LangChain or
equivalent LLM frameworks
·
Vector
databases
·
SQL
·
REST APIs
·
FastAPI
·
Docker
·
Cloud
fundamentals
·
MLOps
·
NLP
·
Multimodal AI
💡 What Projects Should You Put on Your Resume?
For this particular role, projects
can be extremely important.
Instead of simply writing:
"Knowledge of Generative
AI"
show evidence.
Project 1 – RAG Chatbot
Build an AI chatbot that can answer
questions from PDF documents.
Mention:
·
LLM
·
Embeddings
·
Vector
database
·
Retrieval
·
RAG
·
Prompt
engineering
·
Evaluation
Project 2 – Computer Vision
Build an object detection system
using:
YOLO + OpenCV + Python
Demonstrate:
·
Dataset
preparation
·
Annotation
·
Training
·
Evaluation
·
Inference
Project 3 – Multimodal AI
Build an application capable of
understanding images and text.
Project 4 – AI API
Create an AI-powered REST API using
Python/FastAPI.
Project 5 – Predictive ML Model
Create an end-to-end ML project
demonstrating:
Data → EDA → Feature Engineering → Training → Evaluation →
Deployment
💰 Expected Salary for L&T GenAI Trainee
L&T has not provided salary
information in the supplied job description, so candidates should not treat
any third-party salary figure as an official package.
For market context, recent
Glassdoor data for Larsen & Toubro Graduate Engineer Trainee positions
shows an average base pay around ₹5–6 lakh per
year, with additional pay averaging
around ₹60,000 annually. Recent entries
also include Mumbai/Powai examples around ₹6 lakh and Mumbai examples around ₹6–7 lakh.
Separately, Glassdoor's current
India data for GenAI roles shows a much wider market range, with reported base
pay of approximately ₹5–15 lakh
per year and an average around ₹9 lakh, but this data covers broader GenAI roles and should not be
interpreted as the expected L&T Trainee package.
📌 Practical expected range
For an entry-level GenAI Trainee
at L&T, a reasonable market-based expectation would be approximately:
₹5 LPA – ₹7 LPA
with the final compensation
depending on L&T's internal trainee structure, candidate profile, location
and experience.
💡 Do not quote this as
an official salary. The employer's official offer letter/application
information should be treated as authoritative.
📍 Why Mumbai Makes This Opportunity Attractive
The position is based at:
L&T Innovation Campus, Powai, Mumbai
Powai is an established technology
and business hub with access to a large ecosystem of technology companies,
startups, engineering talent and innovation-focused organizations.
For an AI/ML fresher, working in
Mumbai can provide exposure to a broad technology ecosystem while gaining
experience within a major engineering organization.
🏆 Why You Should Apply for This L&T GenAI Job
Here are some unique reasons to
consider the opportunity:
🔥 1. GenAI + Computer Vision
Many entry-level jobs focus on only
one AI specialization.
This role combines:
GenAI + Machine Learning + Deep Learning + Computer Vision +
Data Engineering + AI Integration
🔥 2. Enterprise AI Exposure
You can potentially learn how AI
models are integrated into actual enterprise applications rather than working
exclusively on academic projects.
🔥 3. Strong Technology Stack
The description mentions
technologies and concepts including:
LLMs, RAG, multimodal AI, TensorFlow, PyTorch, OpenCV and
YOLO.
🔥 4. 0–2 Years Experience
The experience requirement makes
the role relevant to fresh graduates and early-career professionals.
🔥 5. Research & Innovation
PoCs, hackathons and emerging
technology evaluation can help candidates build a stronger technical profile.
❓ Frequently Asked Questions
1. What is the L&T GenAI Trainee job?
It is an entry-level AI position
involving Generative AI, Machine Learning, Deep Learning, Computer Vision, Data
Analytics and AI solution development.
2. Who can apply for L&T GenAI Trainee?
The supplied job description
specifies BTech or MTech candidates with 0–2 years of experience.
3. Is this job suitable for freshers?
Yes. The stated experience
requirement is 0–2 years, making it relevant to fresh graduates and
early-career candidates.
4. What is the L&T GenAI Trainee location?
The position is based at L&T
Innovation Campus, Powai, Mumbai.
5. What is the last date to apply?
According to the supplied vacancy
details, the deadline is 9 February 2027.
6. What technologies are relevant?
Important technologies include Python,
TensorFlow, PyTorch, OpenCV and YOLO, along with GenAI concepts such as
LLMs, RAG, prompt engineering and multimodal AI.
7. Does the job description mention a specific batch?
No. The supplied description does
not specify a graduation batch.
8. What salary can a candidate expect?
L&T has not disclosed salary in
the supplied posting. Based on current third-party salary data for L&T
trainee roles and the broader GenAI market, an approximate expectation of ₹5–7 LPA is reasonable for an entry-level
candidate, but this is only an estimate and not an official L&T figure.
9. Should candidates know both GenAI and Computer Vision?
Knowing both can be a significant
advantage because the job description explicitly covers both areas.
10. Is an AI/ML project necessary?
It is not explicitly stated as
mandatory, but practical AI/ML projects can substantially improve a fresher's
profile and interview readiness.
⚠️ Important Application & Fraud Alert
Candidates should apply through L&T's
official career channels and verify the job reference LNT/GT/1820286
before submitting personal information.
L&T explicitly warns candidates
that it does not ask candidates for money at any stage of recruitment and
advises applicants to be alert about fraudulent employment communications.
📌 Unique Takeaway for Freshers
This opportunity should not be
viewed simply as another "trainee job."
The job description covers almost
the entire modern AI development ecosystem:
📊 Data → 🤖 ML → 🧠 Deep Learning → ✨
GenAI → 👁️ Computer Vision → 🔌 APIs → ☁️ Deployment → 📈
Monitoring → 🛡️ Responsible AI
That combination makes this
particularly interesting for candidates who want to eventually move into roles
such as:
·
AI Engineer
·
Machine
Learning Engineer
·
Generative AI
Engineer
·
Computer
Vision Engineer
·
Data Scientist
·
Applied AI
Engineer
·
LLM Engineer
·
AI Solutions
Engineer
·
MLOps Engineer
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📢 Final Conclusion
The Larsen & Toubro GenAI
Trainee Recruitment 2026 is a strong opportunity for BTech and MTech
candidates who want to enter the rapidly growing Artificial Intelligence
ecosystem.
Unlike narrowly defined entry-level
roles, this position provides exposure to Machine Learning, Deep Learning,
Generative AI, LLMs, RAG, Prompt Engineering, Computer Vision, Data Analytics,
APIs, AI deployment and Responsible AI.
For freshers, the biggest
differentiator will not simply be having a degree. Candidates who can
demonstrate practical AI projects, strong Python fundamentals, understanding
of ML concepts, RAG/LLM knowledge, computer vision experience and the ability
to explain their projects clearly can build a much stronger profile.
🚀 If you are serious
about starting your career in Generative AI and Artificial Intelligence, this
L&T opportunity deserves a place on your application list.
📅 Last Date: 9 February
2027
🎯 Don't wait until the
deadline. Prepare your resume, strengthen your GitHub portfolio, verify your
eligibility and apply through the official L&T careers channel.
And for more latest fresher jobs, internships, off-campus drives, AI/ML opportunities and placement updates, keep following Placement-Officer.com and join the Placement Officer Community.
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Disclaimer
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