L&T GenAI Trainee Recruitment 2026: A Launchpad for AI, ML & Computer Vision Careers
Published on AsgarTech
If Artificial Intelligence, Machine Learning, Generative AI, or Computer Vision is where you want your career to head, L&T has just opened a trainee opportunity that fits the bill. The GenAI Trainee position is based at the L&T Innovation Campus in Powai, under L&T Precision Engineering & Systems, and it's built to give freshers real, hands-on exposure across some of today's most in-demand AI domains.
Role Snapshot
| Detail | Information |
|---|---|
| Company | L&T |
| Role | GenAI Trainee |
| Job ID | LNT/GT/1820286 |
| Location | L&T Innovation Campus, Powai |
| Experience | 0–2 Years |
| Qualification | B.Tech / M.Tech |
| Key Skills | AI, Machine Learning, Computer Vision |
| Work Area | Artificial Intelligence & Technology |
| Posted On | 13 August 2026 |
| Application Deadline | 9 February 2027 |
What the Role Is About
This trainee position isn't limited to one narrow specialization — it's designed to give you a broad footing across the AI landscape. Depending on the projects you're placed on, you could end up working with Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Computer Vision, data analytics, and AI-powered application development.
It's a particularly good fit if you've already dabbled in AI/ML through academic projects, internships, certifications, or side projects of your own — this role lets you build on that foundation in a professional setting.
Machine Learning & AI Responsibilities
As a trainee, you'll work alongside experienced AI professionals across various stages of the ML lifecycle. Expect to be involved in:
- Gathering and preparing datasets
- Cleaning and validating both structured and unstructured data
- Assisting with machine learning and deep learning model development
- Working on feature engineering
- Tuning and optimizing models
- Testing and benchmarking model performance
- Keeping an eye on how models perform over time
- Documenting AI/ML workflows and models
- Helping deploy models into dev and production environments
You'll also spend time digging into model performance data to spot opportunities for better accuracy and efficiency.
Generative AI Focus
Generative AI is a core part of this role. You may get exposure to:
- Large Language Models (LLMs)
- Multimodal AI systems
- Prompt engineering and optimization
- Retrieval-Augmented Generation (RAG)
- Model fine-tuning
- AI chatbots and virtual assistants
- Content generation systems
- AI APIs and frameworks
Part of the job also involves reviewing AI-generated output for quality, factual correctness, safety, and responsible AI standards — an increasingly important skill as GenAI tools become mainstream.
Computer Vision Exposure
For candidates leaning toward computer vision, there's room to work on:
- Object detection and tracking
- Image classification and segmentation
- OCR (optical character recognition)
- Image annotation
- Dataset augmentation
- Image preprocessing
- Video analytics
The role mentions hands-on work with tools like OpenCV, TensorFlow, PyTorch, and YOLO, and you may also help deploy vision models to cloud platforms, edge devices, and real-time systems.
Who's Eligible
- A B.Tech or M.Tech degree
- Background in a technology or AI-related discipline
- 0–2 years of experience — this is squarely aimed at freshers and early-career candidates
Skills That Matter
| Skill Area | Relevant Tools / Concepts |
|---|---|
| Artificial Intelligence | Core AI fundamentals |
| Machine Learning | ML and Deep Learning basics |
| Generative AI | LLMs, RAG, Prompt Engineering |
| Computer Vision | OpenCV, YOLO |
| Deep Learning | TensorFlow, PyTorch |
| Data | EDA, data processing |
| Development | APIs, microservices |
| Cloud | Cloud-based AI deployment |
| Software Practices | Git, testing, debugging |
| Responsible AI | Safety, privacy, compliance |
Where This Can Take You
Starting out as a GenAI Trainee can set you up for roles like:
- AI Engineer
- Machine Learning Engineer
- Generative AI Engineer
- Data Scientist
- Computer Vision Engineer
- AI Software Engineer
- Data Engineer
- ML Operations Engineer
- NLP Engineer
- AI Solutions Engineer
With continued hands-on project work and learning, this trainee stint can be a stepping stone into more specialized AI roles down the line.
Why This Opportunity Stands Out
Rather than boxing you into a single specialization, this role exposes you to AI, ML, Generative AI, LLMs, RAG, Computer Vision, data engineering, cloud AI, APIs, and intelligent automation all at once. For someone just starting out in AI, that breadth can make for a genuinely strong technical foundation to build a career on.
Apply here : https://larsentoubrocareers.peoplestrong.com/job/detail/LNT_GT_1820286
Final Thoughts
The GenAI Trainee opportunity at L&T is a solid pick for B.Tech and M.Tech graduates who want to break into artificial intelligence and emerging tech. With exposure spanning Machine Learning, Generative AI, Computer Vision, Deep Learning, LLMs, RAG, and AI solution development, it's a well-rounded way to build practical skills alongside experienced technologists. If AI genuinely excites you and you're eager to work on real intelligent systems, this role is worth putting on your radar.
This post is for informational purposes. Please verify the latest application status and eligibility details through L&T's official recruitment channels before applying.