Summary: Seeking an experienced AI professional to architect and implement advanced conversational AI solutions using Gemini, focusing on agent development, platform migrations, and performance optimization. Highlights: 1. Architect and build sophisticated AI agents with Gemini. 2. Drive continuous improvement through Agent Assist and conversational insights. 3. Manage CI/CD pipelines and DevOps automation for agent development. Minimum qualifications * Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience. * 7 years of experience in technical client services. * Experience in the design and/or implementation of Cloud based technical architectures and solutions. * LLM \& GECX Proficiency: Deep understanding of Large Language Models (specifically Gemini), Gemini Enterprise for Customer Experience, and conversational AI platforms (CXAS, Dialogflow) in enterprise environments. * Programming: Expertise in Python, with experience in AI orchestration frameworks * API \& Backend: Experience building and consuming RESTful APIs and working with cloud infrastructure (Google Cloud Platform preferred). * Data Systems: Proficiency in vector databases (e.g., Pinecone, Vertex AI Search) and structured SQL/NoSQL databases. * Security \& Compliance: Familiarity with enterprise\-grade security protocols, PII masking, and AI safety guidelines. Key Responsibilities * Agent Development: Architect and build sophisticated AI agents using Gemini Enterprise for Customer Experience, Gemini models and CXAS, focusing on reasoning, grounding, and tool\-use capabilities. * Platform Migrations: Migration of legacy conversational interfaces (e.g., Dialogflow Cx, Playbooks, or third\-party bots) to advanced CXAS and generative AI architectures. * Agent Assist \& Conversational Insights: Design and implement Agent Assist features (e.g., Generative Knowledge Assist, Proactive GKA, AI Coach, Live Translation) and utilize CCAI Insights to analyze conversations and drive continuous improvement. * Telephony \& System Integration: Connect AI agents to existing CCaaS/telephony platforms (e.g., Genesys, Cisco, Avaya) and enterprise CRM infrastructure (e.g., Salesforce, Zendesk) using APIs and middleware to ensure real\-time data access and seamless omnichannel routing. * Prompt Engineering \& Tuning: Develop and optimize complex prompts and orchestration layers to ensure high accuracy, brand voice consistency, and safety. * RAG Implementation: Design and maintain Retrieval\-Augmented Generation (RAG) pipelines to provide agents with up\-to\-date, grounded knowledge from company documentation and knowledge bases. * Infrastructure \& CI/CD: Manage CI/CD pipelines and DevOps automation for agent development using tools like Terraform to ensure scalable, infrastructure\-as\-code deployments. * Agent Ops \& Performance Monitoring: Establish robust Agent Ops practices, implementing evaluation frameworks to measure agent latency, accuracy, safety, and customer satisfaction, and iterating based on data\-driven insights. * Collaboration: Work closely with CX leads and product managers to translate business requirements into technical AI workflows. **What can you expect from us?** Mind\-blowing workplace culture. You will be integrated in a professional, dynamic and collaborative team. **100% Remote opportunities** We want you to have the flexibility to work where you feel most comfortable and productive. **International Career** * You can expect professional growth and to be connect with the world. * We are represented in Portugal, Belgium, Luxembourg, and Denmark. * And with projects in many other countries: Netherlands, Luxembourg, Singapore and in the United States of America (and a lot more is coming…) **Extra Benefits \& Perks** If you wish to work with us and you are outside European Union (good news…) we are a Tech Visa Company, We will help! **As a plus, we provide Health and Life Insurance.**
João Santos
Indeed · HR
João Santos
Indeed · HR
