[Hiring] ML Ops Support @Trigent Software

Role Description

• 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.
• Monitor metrics such as response quality, hallucination rate, and latency.
• 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.
• Conduct testing and continuous improvement of AI performance.

Qualifications

• 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.

Requirements

• Experience with Vertex AI and RAG architectures.
• Familiarity with LangChain, LlamaIndex, or vector databases.
• Experience integrating with contact center platforms (Genesys, Five9, Cisco).
• Google Cloud certifications (Cloud Engineer or ML Engineer).