Larsen & Toubro is hiring for GenAI Trainee

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Job Details

  1. Company: Larsen & Toubro (L&T)
  2. Job Position: GenAI Trainee
  3. Department: DEIC – L&T Precision Engineering & Systems IC
  4. Location: Powai, Mumbai, Maharashtra
  5. Experience: 0–2 years
  6. Qualification: Bachelor of Technology (BTech) or Master of Technology (MTech)
  7. Salary: Estimated ₹3.5 LPA to ₹7 LPA
  8. Job ID: LNT/GT/1820286
  9. Posted On: August 13, 2026
  10. Application Deadline: February 9, 2027
  11. Job Type: Not specified in the job description

Job Overview

Larsen & Toubro is hiring a GenAI Trainee to support projects involving Artificial Intelligence, Machine Learning, Generative AI, and Computer Vision. The selected candidate will work on data preparation, AI model development, prompt engineering, large language models, and AI-powered applications. Responsibilities also include testing models, analysing results, building data pipelines, and integrating AI solutions with business applications. This opportunity is suitable for BTech and MTech graduates with 0–2 years of experience who want to develop practical AI engineering skills and contribute to innovative technology projects.

Key Responsibilities

  1. Collect, clean, preprocess, and validate structured and unstructured datasets.
  2. Assist in developing, training, and evaluating machine learning and deep learning models.
  3. Perform feature engineering, model tuning, and performance optimisation.
  4. Test and benchmark AI models and document their performance.
  5. Support the deployment and monitoring of AI models.
  6. Develop applications using Large Language Models (LLMs) and multimodal AI.
  7. Perform prompt engineering and evaluate AI-generated responses.
  8. Participate in Retrieval-Augmented Generation (RAG), fine-tuning, and model customisation projects.
  9. Help develop AI chatbots, virtual assistants, and content-generation applications.
  10. Evaluate AI outputs for accuracy, quality, safety, and responsible AI compliance.
  11. Assist in developing computer vision solutions for image and video analysis.
  12. Work on object detection, image classification, segmentation, tracking, and OCR.
  13. Perform exploratory data analysis and create reports, visualisations, and dashboards.
  14. Support the development of data pipelines, APIs, microservices, and cloud-based AI solutions.
  15. Participate in testing, debugging, technical documentation, research, and proof-of-concept development.
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Eligibility Criteria

  1. Candidates must have a BTech or MTech qualification.
  2. Applicants with 0–2 years of experience can apply.
  3. Candidates should have an interest in Artificial Intelligence, Machine Learning, Generative AI, or Computer Vision.
  4. Applicants should be willing to work on AI models, datasets, and software development projects.
  5. Candidates should be comfortable learning new technologies, frameworks, and tools.
  6. Applicants should be able to collaborate with engineers, data scientists, developers, and business teams.
  7. A willingness to follow coding standards, data privacy requirements, cybersecurity practices, and responsible AI guidelines is important.

Required Skills

  1. Artificial Intelligence and Machine Learning fundamentals.
  2. Generative AI and Large Language Models.
  3. Prompt engineering and prompt optimisation.
  4. Retrieval-Augmented Generation (RAG) concepts.
  5. Deep learning fundamentals.
  6. Computer vision and image processing.
  7. Python programming and software development fundamentals.
  8. Data cleaning, preprocessing, and exploratory data analysis.
  9. Familiarity with OpenCV, TensorFlow, PyTorch, or YOLO.
  10. Knowledge of model training, testing, validation, and evaluation.
  11. Understanding of APIs and application integration.
  12. Data visualisation and reporting.
  13. Debugging and problem-solving abilities.
  14. Technical documentation and version control.
  15. Communication, teamwork, and continuous learning.

Why Join Larsen & Toubro?

  1. Gain practical experience in AI, Generative AI, and Machine Learning projects.
  2. Develop skills in emerging technologies such as LLMs, RAG, and multimodal AI.
  3. Work on computer vision applications involving images and videos.
  4. Learn how AI models are tested, evaluated, and deployed.
  5. Build experience in enterprise AI solution development and integration.
  6. Explore research, innovation, and proof-of-concept projects.
  7. Collaborate with experienced professionals across engineering and technology teams.
  8. Strengthen your technical portfolio and prepare for future AI engineering opportunities.
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