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    Home/Jobs/Agentic AI Engineer

    Agentic AI Engineer

    Quest Global

    Bengaluru
    3+ years
    Today
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    Agentic AI
    Gen AI
    LLM
    RAG
    OpenAI
    Copilot Studio
    AI orchestration frameworks
    Microsoft Power Platform
    Power Apps
    Power Automate
    Dataverse
    DevOps
    CI/CD
    version control
    testing

    Description

    Quest Global is seeking an Agentic AI Engineer to design, develop, and deploy AI-driven solutions using Microsoft Power Platform and modern software development methodologies to automate business processes and enhance operational efficiency.

    Company: Quest Global

    Role: Agentic AI Engineer

    Location: Bengaluru, Karnataka, India

    Experience:

    • 3+ years of experience in Power Platform, Power Apps, and Dev IT practices
    • Strong experience in Microsoft Power Apps, Power Automate, and Power Platform
    • Hands-on experience with Agentic AI, Generative AI, and Copilot Studio
    • Working knowledge of Dev IT/DevOps tools and practices (Git, Azure DevOps, CI/CD pipelines)
    • Experience with Dataverse, SharePoint, REST APIs, and cloud integrations
    • Proficiency in programming languages such as Python, C#, JavaScript, or TypeScript
    • Understanding of software development lifecycle (SDLC) and Agile methodologies

    Responsibilities:

    • Design and implement Agentic AI solutions for enterprise applications and engineering workflows
    • Develop and maintain applications using Microsoft Power Apps, Power Automate, Copilot Studio, and Dataverse
    • Build AI agents and integrate them with enterprise systems, APIs, SharePoint, and cloud services
    • Collaborate with cross-functional teams to identify automation opportunities and digital transformation initiatives
    • Apply Dev IT/DevOps practices including CI/CD, version control, testing, and deployment automation
    • Develop reusable components, workflows, and dashboards using Power Platform technologies
    • Ensure scalability, security, and performance of AI-enabled applications
    • Support troubleshooting, root cause analysis, and continuous improvement initiatives
    • Stay updated with emerging technologies in Agentic AI, Generative AI, and Microsoft ecosystem tools

    Additional responsibilities:

    • Collaborate with diverse individuals empowered by an intentional workplace culture
    • Contribute to internal culture work ensuring all voices are heard
    • Foster a culture rooted in respect where everyone belongs, is valued, and feels inspired to share ideas

    Nice to have:

    • Experience with Azure AI Services, OpenAI, or Microsoft AI stack
    • Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks
    • Exposure to engineering, oil & gas, or industrial digital transformation projects
    • Microsoft Power Platform or Azure certifications

    More skills:

    SharePoint, REST APIs, Cloud services, Dev IT/DevOps, Git, Azure DevOps, Python, C#, JavaScript, TypeScript, SDLC, Agile methodologies

    Other:

    • Quest Global has over 25 years as an engineering services provider
    • Presence in 18 countries with 21,000+ employees
    • Company culture emphasizes hunger, humility, aspiration, innovation, continuous learning, stakeholder management, collaboration, teamwork, critical thinking, leadership, ownership, and customer focus
    • Success criteria include delivering scalable Agentic AI and Power Platform solutions on time meeting quality, security, and business requirements
    • Drive measurable business value through intelligent automation, process optimization, and stakeholder satisfaction

    Prepare for this role

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

    Generative AI with Large Language Models

    Coursera

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

    Introduction to Generative AI

    Coursera

    Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

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