AI Engineer; Gemini Enterprise

Com Resource is searching for a Senior Software Engineer with a background specifically focused on Google Customer Engagement Suite (now Google Gemini Enterprise for CX). This person will be tasked with building AI agents and services to integrate into Genesys Cloud, Salesforce, SAP, Service Now, and more.

Duties

• Assist in the design, development, and deployment of sophisticated conversational AI applications.
• Develop configurable solutions leveraging Google’s Gemini model to provide AI-driven solutions for contact center agents to support the case channel.
• Develop intelligent AI solutions leveraging Google Agent Assist and Google Conversational Agents to drive improvements to the agent and customer experience.
• Collaborate with cross-functional teams to understand requirements and build/deploy solutions that meet their needs.
• Integrate Google Agent Assist and Google Conversational Agents with key contact center technologies (Genesys, Verint) and CRM platforms (Salesforce, SAP).
• Troubleshoot and resolve technical issues related to Google AI applications.
• Stay updated with industry trends and emerging technologies in conversational AI.

Skills

• Proven experience as an engineer or similar role in developing conversational AI solutions.
• Understanding how ML models work, especially for Smart Reply, Smart Compose, and LLM summarization features.
• Experience with platforms like Dialogflow, or equivalent framework. Familiarity with Google Gemini and CCAI (Contact Center AI) is preferred.
• Proficiency in cloud platforms including Google Cloud Platform (GCP).
• Ability to build architecture on Google Cloud that integrates Gemini with other services such as containerized apps, messaging, databases and storage solutions is preferred.
• Skills in IVA/Conversational AI, GenAI agent assist, and speech/text analytics.
• Familiarity with large language models (LLMs), especially multimodal models like Gemini, which handle text, video, and audio inputs.

Plusses

• Skills in using Gemini APIs and tools for embedding AI into applications and workflows.
• Experience with freeform prompts, variables, and parameters to fine-tune AI responses.
• Familiarity with Google Gemini’s architecture and how it supports vision-language-action tasks.
• Experience with custom UIs for agent-facing and customer-facing applications when native integration isn’t feasible is preferred.