GenAI Trainee
L&T — India
₹4–12 LPA (HireSetu estimate) · 0–2 yrs exp · Freshers eligible · Full-time · onsite
HireSetu listing reference 31086a — confirm requirements below, then apply on the employer site.
Quick answer: A trainee role at L&T Precision Engineering & Systems in Powai for BTech or MTech holders with up to two years behind them. The work spans machine learning, generative AI, computer vision and the data plumbing underneath all three.
From L&T's job posting
GenAI TraineeLNT/GT/1820286
Posted On
13 Aug 2026
End Date
09 Feb 2027
Required Experience
0 - 2 Years
Machine Learning & Artificial Intelligence
Assist in collecting, cleansing, preprocessing, and validating structured and unstructured datasets.
Support the design, development, training, and evaluation of machine learning and deep learning models.
Perform feature engineering, model tuning, and performance optimization activities.
Conduct model validation, testing, benchmarking, and documentation.
Assist in deploying and monitoring AI/ML models in development and production environments.
Analyze model performance and recommend improvements for accuracy and efficiency.
Generative AI Development
Assist in developing applications utilizing Large Language Models (LLMs) and multimodal AI models.
Support prompt engineering, prompt optimization, and response evaluation activities.
Participate in Retrieval-Augmented Generation (RAG), fine-tuning, and model customization projects.
Develop and test AI-powered chatbots, virtual assistants, and content generation solutions.
Evaluate model outputs for quality, factual accuracy, safety, and compliance with Responsible AI practices.
Integrate Generative AI capabilities into enterprise applications through APIs and frameworks.
Computer Vision Engineering
Assist in developing image and video analytics solutions using computer vision techniques.
Support implementation of object detection, image classification, segmentation, tracking, and OCR models.
Work with image and video datasets for annotation, labeling, augmentation, and preprocessing.
Assist in training and evaluating deep learning models using frameworks such as OpenCV, TensorFlow, PyTorch, and YOLO.
Support deployment and optimization of vision models for edge devices, cloud platforms, and real-time applications.
Perform quality assessments and accuracy analysis of computer vision systems.
Data Analytics & Engineering
Conduct Exploratory Data Analysis (EDA) and generate insights from large datasets.
Create visualizations, reports, and dashboards to communicate findings effectively.
Support development of data pipelines and workflows for AI applications.
Ensure data quality, integrity, and governance standards are maintained.
Assist in managing and processing image, text, audio, and video datasets.
AI Solution Development & Integration
Collaborate in building intelligent automation and AI-driven business solutions.
Integrate AI, Generative AI, and Computer Vision models with web, mobile, and enterprise applications.
Assist in developing APIs, microservices, and cloud-based AI solutions.
Participate in software testing, debugging, and troubleshooting activities.
Follow coding standards, version control, and software development best practices.
Research & Innovation
Stay updated on advancements in AI, Machine Learning, Generative AI, Computer Vision, and Deep Learning.
Conduct proof-of-concept (PoC) development for emerging technologies and use cases.
Evaluate new AI frameworks, tools, and platforms for potential adoption.
Contribute innovative ideas for enhancing AI products, services, and operational processes.
Participate in technical discussions, hackathons, and innovation initiatives.
Documentation & Compliance
Prepare technical documentation, model documentation, and project reports.
Document datasets, training procedures, model evaluations, and deployment processes.
Follow Responsible AI, cybersecurity, data privacy, and ethical AI guidelines.
Ensure compliance with organizational, industry, and regulatory standards.
Collaboration & Learning
Work closely with AI Engineers, Data Scientists, Software Developers, Product Teams, and Business Stakeholders.
Participate in Agile ceremonies, code reviews, and team meetings.
Continuously enhance technical knowledge through training, mentoring, and self-learning.
Demonstrate a proactive attitude toward learning and adopting emerging technologies.
Text from L&T's official job posting, formatted by HireSetu. The employer's own page is the final word on details.
HireSetu's note
One title, four disciplines
Trainee roles like this lean on a single skill. This one names four workstreams: classical ML and deep learning, LLM applications with RAG and prompt work, computer vision covering detection, segmentation, tracking and OCR, and the data engineering that feeds everything. Tools named include PyTorch, TensorFlow, OpenCV and YOLO, with Python underneath. TypeScript and microservices appear because models get wired into applications through APIs.
Computer vision is the part fresh graduates skip. Annotation, augmentation, edge deployment and accuracy checks are real workstreams here, not a footnote. Pick one of the four and build something you can explain end to end: a model you trained, evaluated, and shipped behind an endpoint. Depth in one beats a shallow pass at all four.
Which team you actually land on
A trainee joins one group on one problem, whatever the breadth of the description. Ask which workstream the opening sits in and what the first three months look like. Ask about compute too: whether you get GPU access and internal datasets, or train on public data while waiting for clearance. That answer decides how much of the job is real model work and how much is preparation.
The employer also mentions Responsible AI, data privacy and cybersecurity guidelines, which in a defence-linked business like this one shapes what data you can touch and where models can run. Confirm the onsite expectation at Powai and how progress through the trainee period gets reviewed.
Drafted with AI from L&T's job posting and checked by Prashanth Jakkula before publishing. See our Editorial Policy.
How to apply
- Open L&T's careers site with the Apply button.
- Follow the application steps on the site and upload your resume.
- Keep the confirmation email or application number for follow-up.
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