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Job Description & How to Apply Below
We are seeking a GenAI & AI Ops Engineer to build, operate, and optimize AI-powered customer engagement systems using Google Cloud Contact Center AI (CCAI) and Generative AI technologies.
This role focuses on ensuring the reliability, scalability, and performance of conversational AI solutions including Dialogflow CX virtual agents, Agent Assist, and LLM-powered assistants across digital and voice channels.
You will work with AI engineers, Dev Ops teams, and contact center stakeholders to deliver high-quality AI-driven customer experiences
Key Responsibilities
Conversational AI Operations
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.
GenAI & LLM Operations
Operate LLM-powered assistants and knowledge-grounded chatbots.
Manage prompt templates, RAG pipelines, and knowledge integrations.
Monitor metrics such as response quality, hallucination rate, and latency.
Monitoring & Reliability
Implement observability using Cloud Monitoring, Logging, and Big Query analytics.
Troubleshoot conversational AI issues and support incident response.
Integration & Automation
Integrate AI assistants with enterprise systems such as CRM, ticketing systems, and knowledge bases.
Develop APIs, webhooks, and automation for AI workflows.
AI Lifecycle Management
Manage CI/CD pipelines, versioning, and releases for AI agents, prompts, and knowledge bases.
Conduct testing and continuous improvement of AI performance.
Required Skills
Experience with Google Cloud Platform (GCP) and Contact Center AI (CCAI).
Hands-on experience with Dialogflow CX.
Experience working with Generative AI / LLM applications.
Proficiency in Python or Node.js.
Experience with REST APIs and webhook integrations.
Familiarity with monitoring, logging, and AI performance analytics.
Preferred Qualifications
Experience with Vertex AI and RAG architectures.
Familiarity with Lang Chain, Llama Index, or vector databases.
Experience integrating with contact center platforms (Genesys, Five9, Cisco).
Google Cloud certifications (Cloud Engineer or ML Engineer).
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