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AI Summary
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.
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