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    DY

    Dysrupit

    Data Engineering

    Copilot Developer

    Bangalore, IndiaOn-SiteFull-timePosted 1mo ago
    All Dysrupit jobs

    Job description

    JOB SUMMARY:

    We are looking for a Copilot / Copilot Studio Developer to design, develop, and enhance AI-driven solutions using Microsoft Copilot and Copilot Studio. This role focuses on building intelligent copilots, integrating enterprise data and systems, and enabling business users through secure, scalable AI-powered experiences.

    JOB RESPONSIBILITIES:

    • Design, build, and customize solutions using Microsoft Copilot and Copilot Studio
    • Develop copilots using Copilot Studio topics, prompts, actions, and generative AI features
    • Integrate copilots with Microsoft 365, Power Platform, Dynamics 365, and third-party systems
    • Build and configure Power Automate flows to support Copilot actions
    • Develop and consume REST APIs and connectors to extend Copilot capabilities
    • Apply prompt engineering best practices to ensure accurate, relevant, and safe AI responses
    • Implement security, access controls, and governance aligned with enterprise standards
    • Collaborate with business stakeholders to identify and prioritize Copilot use cases
    • Test, debug, and optimize Copilot performance and user experience
    • Create technical documentation and support knowledge transfer

    JOB QUALIFICATIONS:

    • Hands-on experience with Microsoft Copilot Studio
    • Strong understanding of Microsoft Power Platform (Power Automate, Power Apps)
    • Experience with API integration and data connectors
    • Knowledge of Microsoft 365, Azure, and Dynamics 365 ecosystems
    • Familiarity with conversational AI design and prompt engineering
    • Understanding of data security, privacy, and compliance concepts

    Job details are sourced from the employer's original posting.

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    About the company

    Dysrupit

    Dysrupit designs data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. They utilize software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.

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    Industry
    Data Engineering
    Open roles
    12

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