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    Home/Jobs/Senior Agentic AI Engineer

    Senior Agentic AI Engineer

    Ecolab

    Bengaluru / Karnātaka
    5-8 years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    Agentic AI
    Prompt Engineering
    Vector Database
    Azure OpenAI
    Azure Storage
    Transformers
    Multi-agent Systems
    Python
    SQL
    Azure Functions
    Azure Cognitive Services
    Azure ML
    Azure App Services

    Description

    We are seeking a highly skilled Senior Agentic AI Engineer to design, develop, and deploy production-grade agentic AI systems on Azure cloud infrastructure.

    Company: Ecolab

    Role: Senior Agentic AI Engineer

    Experience:

    • 5 to 8 years of experience in AI/ML engineering with at least 2+ years focused on agentic AI or autonomous systems

    Key Skills:

    • Python
    • SQL
    • Azure cloud services (Azure Functions, Azure OpenAI, Azure ML, App Services, Storage, Key Vault)
    • Azure Databricks
    • CI/CD pipelines (Azure DevOps, GitHub Actions)
    • Docker
    • Kubernetes/AKS
    • Machine Learning
    • Natural Language Processing
    • Deep Learning
    • Large language models (LLMs)
    • Prompt engineering
    • Multi-agent systems
    • RAG (Retrieval-Augmented Generation) architectures
    • ML frameworks (PyTorch, TensorFlow, Scikit-learn, Transformers)

    Qualification:

    • Expert-level proficiency in Python and advanced knowledge of SQL
    • Proven track record of deploying and maintaining AI systems in production environments
    • Strong experience building CI/CD pipelines using Azure DevOps and/or GitHub Actions

    Role Focus:

    • Design and develop sophisticated agentic AI systems capable of autonomous decision-making and task execution
    • Architect and implement production-grade AI solutions using Azure services
    • Build and maintain CI/CD pipelines using Azure DevOps and/or GitHub Actions
    • Develop scalable data processing workflows using Azure Databricks and Apache Spark
    • Implement comprehensive testing strategies for AI applications
    • Optimize AI agent performance, reliability, and cost-efficiency in production environments
    • Design and implement monitoring, logging, and observability solutions for AI systems
    • Mentor junior engineers and lead technical discussions on AI architecture and best practices
    • Collaborate with cross-functional teams to integrate AI agents into existing systems
    • Implement security best practices

    Nice to have:

    • Azure certifications (Azure AI Engineer Associate, Azure Solutions Architect)
    • Experience with microservices architecture
    • Knowledge of MLOps practices and tools (MLflow, Azure ML Pipelines)
    • Experience with vector databases and semantic search

    Other:

    • Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment.

    Prepare for this role

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

    Python 3 Programming Specialization

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    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Generative AI with Large Language Models

    Coursera

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

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