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Mid-level AI engineer in Bangalore with broad skillset and decent brand increases candidate competition.
Conversational AI and contact-center integration skills transfer across industries but require domain-specific experience.
Explicit 6–9 years plus specific GenAI, GCP and contact-center integration requirements increase screening strictness.
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Ownership of Development and Operations support for Google Customer Engagement Suite (CES), including proactive monitoring, incident management, and continuous production system improvement.
Design, develop, and deploy conversational AI applications integrating Google Gemini, Google Agent Assist, and Google Conversational Agents with contact center and CRM technologies like Genesys, Salesforce, and Verint.
Configure and customize AI models and solutions, manage knowledge bases, and ensure quality, performance, and security of AI-driven applications across multiple contact center channels.
Bachelor’s degree in a related field or equivalent work experience.
6-9 years of experience in development and operations support for conversational AI solutions or related domains.
Strong programming skills in Python, Java, or JavaScript.
Proficiency with Google Cloud Platform (GCP) and experience with Dialogflow or equivalent conversational AI frameworks.
Experienced in building and supporting AI-driven contact center solutions integrating multiple technologies and platforms.
Familiar with advanced conversational AI concepts including large language models like Google Gemini, agent assist tools, and speech/text analytics.
Able to translate business needs into scalable technical solutions and work independently on complex AI system deployments and support.