TopGenAIJobs

TopGenAIJobs

A Gen AI & Agentic AI Jobs Platform to discover high-quality Gen AI and Agentic AI opportunities from top companies worldwide.

topgenaijobs.com

Quick Links

  • Home
  • Browse Jobs
  • Browse by Category
  • Companies
  • Post a Job
  • Career Resources
  • About Us

Resources

  • Blog
  • Career Guide
  • Resume Tips
  • Interview Prep
  • Salary Guide
  • Skill Demand Index

Top Gen AI Roles

  • Gen AI Engineer Jobs
  • Agentic AI Engineer Jobs
  • Prompt Engineer Jobs
  • LLM Engineer Jobs
  • RAG Engineer Jobs
  • MLOps Engineer Jobs
  • Remote AI Jobs
  • Entry Level AI Jobs
  • Senior AI Jobs

Legal

  • Privacy Policy
  • Terms of Service
  • Cookie Policy
  • Contact

© 2026 TopGenAIJobs (Gen AI & Agentic AI Jobs Platform). All rights reserved.

Made with ❤ by TopGenAIJobs Team

    Home/Jobs/Generative AI Engineer

    Generative AI Engineer

    GlobalLogic

    Gurugram
    3-5 years
    Today
    ₹15–28 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    RAG
    LangChain
    Agentic GenAI
    Gen AI
    Hugging Face
    sentence transformers
    OpenAI
    Deep Learning
    NLP
    Python
    TensorFlow
    PyTorch
    Neural Networks
    Word2Vec

    Description

    We are looking for a highly skilled and innovative Generative AI Engineer to join our dynamic team. In this role, you will be at the forefront of AI development, responsible for designing, building, and deploying cutting-edge generative models and applications. You will work on everything from large language model (LLM) training and fine-tuning to developing sophisticated NLP solutions.

    Company: GlobalLogic

    Role: Generative AI Engineer

    Location: India - Gurgaon

    Experience:

    • 3-5 years

    Key Skills:

    • Agentic GenAI
    • Deep Learning
    • Generative AI
    • Neural networks
    • NLP
    • Python
    • TensorFlow
    • PyTorch
    • Hugging Face
    • LangChain
    • Word2Vec
    • GloVe
    • sentence transformers
    • Pinecone
    • ChromaDB
    • OpenAI
    • Google

    Qualification:

    • Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field

    Role Focus:

    • Design, develop, and implement advanced Generative AI solutions using state-of-the-art models and techniques
    • Train, fine-tune, and evaluate Large Language Models (LLMs) for specific use cases, ensuring optimal performance and accuracy
    • Develop and integrate Retrieval-Augmented Generation (RAG) systems to enhance model responses with external knowledge bases
    • Apply expertise in Deep Learning and Neural Networks to build robust and scalable AI systems
    • Utilize Natural Language Processing (NLP) techniques for tasks such as text classification, sentiment analysis, and named entity recognition
    • Manage the full lifecycle of AI models, including embedding preparation, data preprocessing, model deployment, and monitoring
    • Write clean, efficient, and well-documented code, primarily in Python
    • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to deliver high-impact AI features
    • Stay current with the latest advancements in the field, including new models from OpenAI and other research institutions

    Nice to have:

    • Experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow)
    • Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure)
    • Contributions to open-source AI/ML projects or a portfolio of relevant work
    • Published research in the field of AI, NLP, or Machine Learning

    Other:

    • Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
    • Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
    • Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
    • Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.
    • Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
    • Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    More LLM jobs

    Senior AI Engineer

    Entropik

    Chennai

    Today

    Software Engineer - Gen AI Developer

    CGI

    Bengaluru

    Today

    AI Engineer

    Cornerstone

    Hyderabad

    Today

    AI/ML Architect

    Ascendion

    Bengaluru

    Today

    GenAI & AI Ops Engineer

    Virtusa

    Pune

    Today

    GenAI/Agentic AI Engineer

    Persistent

    Hyderabad

    Today