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    Home/Jobs/AI Engineer

    AI Engineer

    Ecolab

    Bengaluru
    2-4 years
    2 days ago
    ₹8–19 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Embedding-based retrieval solutions
    Gen AI
    Agent orchestration frameworks
    Cloud-native delivery

    Description

    Design, implement, and deploy intelligent systems using large language models and agent orchestration frameworks. Focus on scalable workflows, cloud-native delivery, and real-world GenAI application integration.

    Company: Ecolab

    Role: AI Engineer

    Location: Bangalore, Karnātaka, India

    Experience:

    • 2-4 years experience

    Key Skills:

    • large language models
    • agent orchestration frameworks
    • embedding-based retrieval solutions
    • scalable workflows
    • cloud-native delivery
    • GenAI application integration

    Qualification:

    • Degree

    Responsibilities:

    • Design intelligent systems powered by large language models
    • Implement and deploy agent orchestration frameworks
    • Develop embedding-based retrieval solutions
    • Focus on scalable workflows
    • Deliver cloud-native solutions
    • Integrate real-world GenAI applications

    Additional responsibilities:

    • Report to AI Engineering Manager

    Other:

    • Commitment to fair and equal treatment of associates and applicants
    • Equal Opportunity Employment principles
    • Non-discrimination based on race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability

    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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