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    Home/Jobs/GenAI & AI Ops Engineer

    GenAI & AI Ops Engineer

    Virtusa

    Pune
    3-5 years
    Today
    ₹13–25 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Gen AI
    RAG
    LangChain
    LlamaIndex
    Vector Database
    Google Cloud Platform (GCP)
    Contact Center AI (CCAI)
    Dialogflow CX
    Python
    Node.js
    REST API
    webhook integrations
    Cloud Monitoring
    Logging

    Description

    We are seeking a GenAI & AI Ops Engineer to build, operate, and optimize AI-powered customer engagement systems using Google Cloud

    Role: GenAI & AI Ops Engineer

    Location: Pune, Maharashtra, India

    Experience:

    • Experience with Google Cloud Platform (GCP) and
    • Hands-on experience with Dialogflow CX
    • Experience working with Generative AI / LLM applications
    • Experience with REST APIs and webhook integrations

    Key Skills:

    • Google Cloud Platform (GCP)
    • Dialogflow CX
    • Generative AI
    • LLM applications
    • Python
    • Node.js
    • REST APIs
    • webhook integrations
    • monitoring
    • logging
    • AI performance analytics

    Qualification:

    • Proficiency in Python or Node.js
    • Google Cloud certifications (Cloud Engineer or ML Engineer)

    Role Focus:

    • Deploy and manage Google Cloud CCAI solutions including Dialogflow CX virtual agents and Agent Assist
    • Monitor and optimize conversational flows, intent accuracy, and containment rates
    • Operate LLM-powered assistants and knowledge-grounded chatbots
    • Manage prompt templates, RAG pipelines, and knowledge integrations
    • Implement observability using Cloud Monitoring, Logging, and BigQuery analytics
    • Troubleshoot conversational AI issues and support incident response
    • Integrate AI assistants with enterprise systems such as CRM, ticketing systems, and knowledge bases
    • Develop APIs, webhooks, and automation for AI workflows
    • Manage CI/CD pipelines, versioning, and releases for AI agents, prompts, and knowledge bases

    Nice to have:

    • Experience with Vertex AI and RAG architectures
    • Familiarity with LangChain, LlamaIndex, or vector databases
    • Experience integrating with

    Prepare for this role

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

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Python for Everybody Specialization

    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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