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    Home/Jobs/Lead AI Engineer

    Lead AI Engineer

    Ecolab

    Bengaluru
    8-10 years
    Today
    ₹38–63 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    Gen AI
    embedding-powered retrieval
    multi-agent workflows

    Description

    Lead AI Engineer role focused on architecting and delivering GenAI-based systems. The position involves technical leadership, cross-functional coordination, and production-grade intelligent applications.

    Company: Ecolab

    Role: Lead AI Engineer

    Location: Bangalore, Karnātaka, India

    Experience:

    • 8-10 years experience

    Key Skills:

    • GenAI
    • large language models (LLMs)
    • multi-agent workflows
    • embedding-powered retrieval solutions
    • engineering standards
    • production-grade intelligent applications

    Qualification:

    • Degree

    Responsibilities:

    • Own the architecture and delivery of GenAI-based systems
    • Integrate large language models, multi-agent workflows, and embedding-powered retrieval solutions
    • Guide cross-functional pods
    • Drive innovation through scalable intelligent applications

    Additional responsibilities:

    • Lead a team of associates functionally and administratively

    Other:

    • Category: Information Technology
    • Job Id: R00296631
    • Reports to AI Engineering Manager
    • Culture of inclusion and belonging
    • Equal opportunity employment commitment
    • Fair and equal treatment for associates and applicants
    • Recruitment and advancement based on individual qualifications and job performance
    • No discrimination based on race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expression, 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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