Cloud Platform & Infra Engineer

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bridge351

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🎯 Recruiter

🤝 B2B

Recruitment • B2B

Bridge351 is a Europe-focused recruitment firm that publishes and manages job openings for IT and technology roles. Its site shows active listings for positions such as Azure Cloud Engineer, Senior Java Backend Developer, Cybersecurity Project Manager, IT Recruiter and Business Manager, and provides candidate and employee portals (SSO) and career management via Teamtailor. The website emphasizes recruiting activity across multiple European locations (Lisbon, Porto, Poland, Luxembourg, Brussels, Denmark, Germany, Netherlands) and appears focused on hiring and placing technical talent for employers.

📋 Description

• Architect and build sophisticated AI agents using Gemini Enterprise for Customer Experience, Gemini models and CXAS, focusing on reasoning, grounding, and tool-use capabilities. • Migration of legacy conversational interfaces (e.g., Dialogflow Cx, Playbooks, or third-party bots) to advanced CXAS and generative AI architectures. • 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. • 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. • Develop and optimize complex prompts and orchestration layers to ensure high accuracy, brand voice consistency, and safety. • Design and maintain Retrieval-Augmented Generation (RAG) pipelines to provide agents with up-to-date, grounded knowledge from company documentation and knowledge bases. • Manage CI/CD pipelines and DevOps automation for agent development using tools like Terraform to ensure scalable, infrastructure-as-code deployments. • Establish robust Agent Ops practices, implementing evaluation frameworks to measure agent latency, accuracy, safety, and customer satisfaction, and iterating based on data-driven insights. • Work closely with CX leads and product managers to translate business requirements into technical AI workflows.

🎯 Requirements

• 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.

🏖️ Benefits

• 100% Remote opportunities • Health and Life Insurance