Larsen & Toubro (L&T) has announced its GenAI Trainee Hiring 2026 under the DEIC – L&T Precision Engineering & Systems ICL division, based at the L&T Innovation Campus, Powai, Mumbai.
This opportunity is designed for freshers and early‑career professionals (0–2 years of experience) who want to build careers in Generative AI, machine learning, computer vision, and data engineering.
Job Overview
| Details | Information |
|---|---|
| Company | Larsen & Toubro (L&T) |
| Division | DEIC – L&T Precision Engineering & Systems ICL |
| Role | GenAI Trainee |
| Requisition ID | LNT/GT/1820286 |
| Location | L&T Innovation Campus, Powai, Mumbai |
| Experience | 0–2 Years |
| Qualification | B.Tech / M.Tech |
| Posted | August 13, 2026 |
| Application Deadline | February 9, 2027 |
Why This Role Stands Out
Unlike generic trainee roles, this position focuses on applied AI/ML with exposure to:
- Generative AI (LLMs, RAG, fine‑tuning, prompt engineering).
- Computer Vision (OpenCV, PyTorch, YOLO).
- Data Engineering & Pipelines.
- Responsible AI practices (bias, safety, compliance).
This makes it a strong entry point for candidates aiming to specialize in AI/ML product development rather than traditional IT support.
Key Responsibilities
- Work on data preparation, model building, and fine‑tuning.
- Develop retrieval‑augmented generation (RAG) pipelines.
- Implement computer vision solutions for industrial applications.
- Support cloud/edge deployment of AI models.
- Ensure responsible AI compliance in outputs.
Skills to Highlight in Your Resume
- Python, PyTorch, OpenCV, LangChain, YOLO.
- Hands‑on projects in LLM fine‑tuning or RAG systems.
- Computer vision pipelines deployed on edge/cloud platforms.
- Exposure to bias detection and safe AI practices.
Career Growth
Starting as a GenAI Trainee at L&T can lead to roles such as:
- AI/ML Engineer
- Computer Vision Engineer
- Data Scientist
- Generative AI Specialist
- Cloud AI Engineer
- AI Product Developer
Final Thoughts
The L&T GenAI Trainee Hiring 2026 is a unique opportunity for freshers and early‑career professionals to gain hands‑on experience in Generative AI, ML, computer vision, and data engineering.
With exposure to LLMs, RAG pipelines, fine‑tuning, and responsible AI practices, this role provides a strong foundation for building a career in applied AI/ML.