Cloud Platform & Infra Engineer

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.