GenAI Trainee (B.Tech)
L&T Precision Engineering & Systems — Mumbai (Powai), Maharashtra
₹3–4 LPA (HireSetu estimate) · 0–2 yrs exp · Freshers eligible · Full-time
HireSetu listing reference e9ac78 — confirm requirements below, then apply on the employer site.
Quick answer: A trainee intake at L&T's Powai campus for B.Tech holders with up to two years behind them. The GenAI label undersells how much of the listed work is computer vision and plain dataset handling.
From L&T Precision Engineering & Systems's job posting
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 Precision Engineering & Systems's official job posting, formatted by HireSetu. The employer's own page is the final word on details.
HireSetu's note
Three stacks, one title
The GenAI side is real: prompt engineering, RAG, fine-tuning, chatbots, with APIs and microservices to wire them into enterprise applications. Computer vision gets equal billing in the responsibilities, covering detection, segmentation, tracking and OCR with YOLO, TensorFlow and PyTorch. Underneath both sits ordinary ML work: cleaning datasets, feature engineering, tuning, benchmarking.
That breadth is normal for a trainee intake at a large engineering firm. Placement decides which of the three areas your first project lands in, so two candidates with the same degree can end up doing very different work.
Your first line on the CV
One project built end to end beats a page of course names. If it involved detection or video analytics, lead with it and give the numbers: dataset size, accuracy, the mess you had to clean before training. If your work was LLM-side, show a RAG pipeline or a chatbot and the evaluation you ran on its answers.
Two items on the skills list are easy to skip and both appear in the duties: validation and cybersecurity. Testing, benchmarking or Responsible AI work you have done belongs on the CV.
Most of the week is data
Read the duties closely and a large share is collecting, cleaning, annotating and preprocessing image, text, audio and video sets, then documenting datasets, training runs and model evaluations. Expect several days of labelling and pipeline fixes for every couple of days of modelling.
Deployment, monitoring, APIs, Agile ceremonies and code reviews fill out the rest. Documentation and compliance get their own sections in the posting, so reports and Responsible AI checks are deliverables, not afterthoughts.
Powai, full-time
The job is at L&T's Powai campus in Mumbai and reads as an onsite, full-time posting. Powai's traffic decides your commute and your rent, so it shapes more of your day than the tech stack does.
Ask which team you would report into. That answer decides whether your year looks like vision models or LLM tooling.
Drafted with AI from L&T Precision Engineering & Systems's job posting and checked by Prashanth Jakkula before publishing. See our Editorial Policy.
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