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    Home/Jobs/GenAI Developer

    GenAI Developer

    Infosys

    Bengaluru
    12-15 years
    Today
    ₹50–88 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Gen AI
    Prompt Engineering
    LangChain
    Vector Database
    RAG
    Fine-tuning
    Embeddings
    MLOps
    Python
    PyTorch
    TensorFlow
    Cloud platforms
    Azure
    AWS

    Description

    Infosys Limited is seeking a GenAI Developer with extensive experience in Generative AI solutions and related technologies.

    Company: Infosys Limited

    Role: GenAI Developer

    Location: Bangalore

    Experience:

    • 12 - 15 Years total experience
    • 3+ Years in GenAI/AI/ML
    • 3-4 years of hands-on experience in GenAI / AI / ML

    Qualification:

    • Bachelor of Engineering

    Responsibilities:

    • Design and implement Generative AI solutions using LLMs
    • Build and optimize prompt engineering frameworks and AI pipelines
    • Develop AI-powered applications using Python, LangChain, and relevant frameworks
    • Integrate GenAI solutions with enterprise systems and APIs
    • Fine-tune and deploy models across cloud platforms
    • Ensure scalability, performance, and responsible AI practices
    • Collaborate with cross-functional teams for solution delivery

    Additional responsibilities:

    • Experience: 12–15 Years
    • Relevant Experience: 3+ Years in GenAI/AI/ML
    • Location: Bangalore
    • Strong knowledge of LLMs, NLP, deep learning concepts
    • Experience with LangChain, vector databases, RAG architectures
    • Good understanding of cloud platforms (Azure OpenAI preferred)
    • Experience in API integrations and microservices architecture

    Nice to have:

    • Experience with fine-tuning models and embeddings
    • Exposure to MLOps tools and deployment pipelines
    • Strong problem-solving and stakeholder communication skills
    • Technology->AI-Traditional AI->NLP-Speech Analytics
    • Technology->AI-Data science->Machine Learning
    • Technology->AI-Generative AI->Conversational AI Platform
    • Technology->AI-Generative AI->Generative AI - Basic
    • Technology->AI-Generative AI->Generative AI for Data Analytics
    • Technology->AI-Generative AI->Prompt Engineering

    More skills:

    LLMs (GPT, Llama), AI frameworks (PyTorch, TensorFlow), NLP, Deep learning concepts, Cloud platforms (Azure, AWS, GCP), API integrations, Microservices architecture

    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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