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    Home/Jobs/Generative AI Engineer

    Generative AI Engineer

    GlobalLogic

    Hyderabad / Gurugram
    4-8 years
    Today
    ₹15–28 LPA
    Full-time
    Hybrid

    Skills Required

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

    Description

    Generative AI Engineer with 4-8 years of experience

    Company: GlobalLogic

    Role: Senior Software Engineer

    Location: India - Gurgaon, Hyderabad, Nagpur; Hybrid, 5 days working: Hyderabad GlobalLogic office

    Experience:

    • 5-10 years
    • 4-8 years

    Key Skills:

    • Agentic GenAI
    • Deep Learning
    • Generative AI
    • Generative AI - LLMs
    • Neural networks
    • NLP
    • Python
    • Retrieval-Augmented Generation (RAG)

    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
    • Train, fine-tune, and evaluate Large Language Models (LLMs)
    • Develop and integrate Retrieval-Augmented Generation (RAG) systems
    • Apply expertise in Deep Learning and Neural Networks
    • Utilize Natural Language Processing (NLP) techniques
    • Manage the full lifecycle of AI models
    • Write clean, efficient, and well-documented code
    • Collaborate with cross-functional teams

    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
    • Published research in the field of AI, NLP, or Machine Learning

    Other:

    • Exciting Projects in industries like High-Tech, communication, media, healthcare, retail and telecom
    • Collaborative Environment with a diverse team
    • Work-Life Balance with flexible work schedules and paid time off
    • Professional Development with training and certifications
    • Excellent Benefits including competitive salaries, family medical insurance, and bonuses
    • Fun Perks like sports events, cultural activities, and subsidies on food

    Prepare for this role

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

    Python for Everybody Specialization

    Coursera

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

    Python 3 Programming Specialization

    Coursera

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

    Generative AI with Large Language Models

    Coursera

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

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