[Hiring] Cloud Platform & Infra Engineer @Bridge 351

Role 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.

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.
• Deep understanding of Large Language Models (specifically Gemini), Gemini Enterprise for Customer Experience, and conversational AI platforms (CXAS, Dialogflow) in enterprise environments.
• Expertise in Python, with experience in AI orchestration frameworks.
• Experience building and consuming RESTful APIs and working with cloud infrastructure (Google Cloud Platform preferred).
• Proficiency in vector databases (e.g., Pinecone, Vertex AI Search) and structured SQL/NoSQL databases.
• Familiarity with enterprise-grade security protocols, PII masking, and AI safety guidelines.

Benefits

• Mind-blowing workplace culture. You will be integrated in a professional, dynamic and collaborative team.
• 100% Remote opportunities - flexibility to work where you feel most comfortable and productive.
• International Career - professional growth and connection with the world.
• Extra Benefits & Perks - Tech Visa Company for those outside the European Union, assistance provided.
• Health and Life Insurance.