L&T Hiring 2026: GenAI Trainee | Powai, Mumbai (Job ID LNT/GT/1820286)

Company: Larsen & Toubro Limited (L&T)
Business Unit: DEIC – L&T Precision Engineering & Systems IC
Job Title: GenAI Trainee
Job ID / Requisition: LNT/GT/1820286
Posting Date: August 13, 2026
Application End Date: February 09, 2027
Work Arrangement: On-Site / Full-Time
Target Candidates: Freshers & Early-Career (0–2 Years Experience | 2023–2026 Graduating Batches)
Location: L&T Innovation Campus, Powai, Mumbai, Maharashtra, India

Larsen & Toubro (L&T) is a global technology, engineering, construction, manufacturing, and financial services conglomerate. The Defense & Enterprise Innovation Center (DEIC) within L&T Precision Engineering & Systems IC focuses on high-precision mechanical, electronic, defense, and digital systems.

The GenAI Trainee position is an entry-level technical role based at L&T’s Innovation Campus in Powai, Mumbai. Unlike routine IT traineeships, this role involves deploying applied AI across three technology domains: Generative AI & LLMs (RAG/Fine-tuning), Computer Vision (YOLO/PyTorch), and Machine Learning Pipelines for industrial and defense-grade precision engineering workflows.

• Generative AI & LLM Engineering: Assist in building LLM-powered applications, fine-tuning models, building Retrieval-Augmented Generation (RAG) pipelines, and prompt optimization.
• Computer Vision Analytics: Support object detection, image classification, segmentation, tracking, and OCR models using OpenCV, PyTorch, TensorFlow, and YOLO.
• Machine Learning & Deep Learning: Clean, structure, and preprocess structured/unstructured datasets; perform feature engineering, hyperparameter tuning, model benchmarking, and validation.
• Data Analytics & EDA: Perform Exploratory Data Analysis (EDA), create interactive dashboards, and maintain ETL data pipelines for multi-modal (text, image, video) datasets.
• Deployment & Responsible AI: Integrate AI/ML models into enterprise web/mobile applications via REST APIs and microservices; evaluate model safety, factual accuracy, and compliance with Responsible AI guidelines.

Academic Background

• Degree: Bachelor of Technology (B.Tech / B.E.) or Master of Technology (M.Tech / M.E.).
• Preferred Disciplines: Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electronics & Communication Engineering (ECE), or related engineering fields.
• Eligible Graduation Batches: 2023, 2024, 2025, and 2026 graduates.

Experience & Essential Technical Skills

• Experience Level: Freshers to 0–2 Years of relevant experience.
• Core Machine Learning: Solid grasp of ML/DL fundamentals, model evaluation metrics, and exploratory data analysis (EDA).
• Generative AI & NLP: Familiarity with LLM architectures, prompt engineering, RAG frameworks (LangChain, LlamaIndex), and vector databases.
• Computer Vision: Hands-on exposure to image/video processing using OpenCV, PyTorch, TensorFlow, or YOLO.
• Programming & Tools: Proficiency in Python, SQL, Git version control, and RESTful API development.

• Estimated Compensation (CTC): ₹4.0 LPA to ₹7.0 LPA for freshers and early-career trainees (depending on degree level [B.Tech vs. M.Tech] and interview performance).
• Key Benefits:
  • Direct hands-on exposure to industrial AI, computer vision, and GenAI implementation in defense and precision engineering.
  • Work on-site at the L&T Innovation Campus in Powai, Mumbai.
  • Structured corporate training and mentorship under senior AI/ML architects.

1. Profile Shortlisting & Resume Screening (Job ID: LNT/GT/1820286)
   (Verification of B.Tech/M.Tech background, Python, ML/CV/GenAI academic projects, & Powai location fit)
   ↓
2. Online Technical Assessment
   (Questions evaluating Python programming, ML/DL fundamentals, Computer Vision algorithms, & Data Handling)
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3. Technical Interview Round 1 (ML, Deep Learning & Coding)
   (Deep dive into Python data structures, OpenCV/PyTorch code logic, model optimization, & project evaluation)
   ↓
4. Technical Interview Round 2 (GenAI, RAG & Computer Vision)
   (Questions on LLM fine-tuning, RAG architecture, YOLO object detection, prompt engineering, & API deployment)
   ↓
5. HR & Management Round
   (Discussion on Powai office relocation, career aspirations, L&T corporate values, & formal offer)

• Generative AI & LLMs: RAG architecture (chunking strategies, embeddings, vector indexing), prompt design, evaluating model hallucination, and fine-tuning techniques (LoRA/QLoRA).
• Computer Vision & Deep Learning: CNN architectures (ResNet, YOLO, EfficientNet), image augmentation, object detection metrics (mAP, IoU), and OpenCV image operations.
• Core Machine Learning & Data: Precision vs. Recall, ROC-AUC curves, overfitting/underfitting remedies, hyperparameter tuning, and SQL data queries (JOIN, GROUP BY).

• AI & Machine Learning: Machine Learning, Artificial Intelligence, Deep Learning, Supervised Learning, Model Validation, Feature Engineering, Model Benchmarking
• Generative AI & NLP: Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, Fine-Tuning, Chatbots, Vector Databases, Responsible AI
• Computer Vision: Computer Vision, OpenCV, PyTorch, TensorFlow, YOLO, Object Detection, Image Classification, Image Segmentation, OCR
• Data & Engineering: Python, SQL, Exploratory Data Analysis (EDA), REST APIs, Microservices, Git, Docker, L&T Precision Engineering

1. What is the official Requisition ID for this L&T opening?

The official L&T requisition ID is LNT/GT/1820286.

2. What is the application deadline for this position?

The application window remains open through February 09, 2027.

3. Are freshers eligible for this GenAI Trainee role?

Yes. Candidates with 0 to 2 years of experience (graduating in 2023, 2024, 2025, or 2026) holding a B.Tech or M.Tech degree are eligible.

4. Where is the job location?

The position is an on-site role located at the L&T Innovation Campus in Powai, Mumbai, Maharashtra.