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    Ernst Young logo

    Urgent Req : AI/ML Engineer- AI Agent Development & LLM Integration

    Ernst Young · Bengaluru · hybrid · Posted 54d ago

    Undisclosed6–11 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    AI/ML Engineer- AI Agent Development & LLM Integration
    • Build AI agents using frameworks like LangGraph, Autogen, Crew, or PydanticAI.
    • Design and optimize prompt engineering workflows for LLMs (e.g., GPT, Claude, LLaMA).
    • Develop modular, reusable components for agent orchestration and task automation.

    Model Deployment & Infrastructure :


    • Deploy models using Databricks and Azure ML, integrating with enterprise-grade systems.
    • Implement APIs, WebSockets, and event-driven architectures for real-time AI services.
    • Collaborate with platform teams to ensure scalable and secure deployments.

    Development & Automation :


    • Work with CI/CD pipelines using Jenkins to automate testing and deployment.
    • Use GitHub Copilot, Windsurf, Codeium, or similar tools to accelerate development.
    • Maintain high code quality and documentation standards using Git, Jira, and Confluence

    Must-Have Skills:


    • 8+ years of experience working Machine Learning / Artificial Intelligent or related fields.
    • 8+ years of experience building Generative AI Applications for enterprise, deep understanding of workflows like RAG.
    • Strong proficiency in Python and modern development practices.
    • Hands-on experience with LLMs and prompt engineering.
    • Experience building AI agents using at least one of Lang Graph, Crew, or PydanticAI.
    • Familiarity with Databricks and cloud-native deployment strategies.
    • Understanding of REST APIs, WebSockets, and event-driven systems.
    • Familiarity with SDLC best practices and agile methodologies.
    • Proficiency with using CI/CD tools (Jenkins) and version control (Git).
    • Comfortable using AI-augmented development tools for rapid prototyping.

    Nice-to-Have Skills:


    • Exposure to MLOps/LLMOps workflows and model monitoring.
    • Knowledge of enterprise security, compliance, and governance in AI systems.
    • Exposure to best practices for code and model lifecycle management.

    Soft Skills & Mindset:


    • Strong analytical and problem-solving skills.
    • Excellent communication and collaboration abilities.
    • Self-starter with a growth mindset and curiosity for emerging AI trends.
    • Ability to work in cross-functional teams and adapt to evolving priorities.


    Note : Immediate joiners are preferred.



    Thanks.

    Regards,

    Tanvi Shinganwade | HR Associate | Talent Team

    Website: http://www.ey.com

    Sourced from naukri

    Skills

    JenkinsDockerAutoGenclaudeCrewaiazure mlPydantic AIChatgptPythonLanggraphCi/CdMachine Learning

    About Ernst & Young

    Ernst Young logo

    Ernst Young

    Management Consulting

    44k+

    employees

    2002

    24 years old

    Gurgaon / Gurugram, Haryana

    India

    ₹15.3L PA avg

    Avg at Ernst & Young

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