Senior EMEA Cloud Platform & Infrastructure Engineer
⚲ Warszawa, Wrocław, Kraków, Gdańsk, Poznań
31 500 - 35 700 PLN netto (B2B)
Wymagania
- Large Language Models (especially Gemini)
- Python
- REST API
Opis stanowiska
🚀 Senior EMEA Cloud Platform & Infrastructure Engineer
📍 Fully Remote (Poland) | 💰 Up to 1.700 PLN/day | B2B Contract
We are looking for a Senior EMEA Cloud Platform & Infrastructure Engineer to join an advanced AI and Customer Experience engineering initiative. You will play a key role in building and scaling next-generation AI-driven customer experience platforms, leveraging Google Cloud technologies and Generative AI.
🔧 Key Responsibilities
• Architect and develop advanced AI agents using Gemini Enterprise for Customer Experience, Gemini models, and CXAS, with focus on reasoning, grounding, and tool-use capabilities
• Lead migration of legacy conversational systems (Dialogflow CX, Playbooks, third-party bots) to modern generative AI architectures
• Design and implement Agent Assist solutions (Generative Knowledge Assist, Proactive GKA, AI Coach, Live Translation) and leverage CCAI Insights for analytics and optimization
• Integrate AI agents with CCaaS/telephony platforms (Genesys, Cisco, Avaya) and CRM systems (Salesforce, Zendesk) via APIs and middleware
• Build and optimize prompt engineering and orchestration layers for accuracy, safety, and brand alignment
• Design and maintain RAG (Retrieval-Augmented Generation) pipelines using enterprise knowledge sources
• Manage CI/CD pipelines and DevOps automation using Terraform and infrastructure-as-code principles
• Establish Agent Ops practices, including monitoring performance (latency, accuracy, safety, customer satisfaction) and continuous improvement
• Collaborate with CX leads and product teams to translate business needs into scalable AI solutions
🎯 Minimum Qualifications
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 7+ years of experience in technical client services
• Experience designing and implementing cloud-based architectures
• Strong expertise in Large Language Models (especially Gemini) and conversational AI platforms (CXAS, Dialogflow)
• Advanced programming skills in Python (AI orchestration experience preferred)
• Experience building and consuming REST APIs
• Knowledge of cloud infrastructure (preferably Google Cloud Platform)
• Experience with vector databases (e.g., Pinecone, Vertex AI Search) and SQL/NoSQL systems
• Understanding of enterprise security, PII handling, and AI safety principles
⭐ Nice to Have
• Google Cloud certifications (Architect, Machine Learning, Networking, etc.)
• Experience with CCaaS platforms (Genesys, Cisco, Avaya) and telephony protocols (SIP, WebRTC)
• Hands-on experience with Vertex AI, Dialogflow CX, Agent Assist, and CCAI Insights
• Strong DevOps / AgentOps background with CI/CD automation
• Experience delivering AI solutions from prototype to production at enterprise scale
• Knowledge of identity management, encryption, and enterprise security practices
• Strong communication and stakeholder management skills
• Programming experience in Java, Go, or C++ in addition to Python
🌍 What We Offer
• Fully remote work (Poland-based)
• High-impact enterprise AI projects
• Cutting-edge work with Generative AI and Google Cloud technologies
• Long-term engagement opportunity
• Competitive rate
📍 Fully Remote (Poland) | 💰 Up to 1.700 PLN/day | B2B Contract
We are looking for a Senior EMEA Cloud Platform & Infrastructure Engineer to join an advanced AI and Customer Experience engineering initiative. You will play a key role in building and scaling next-generation AI-driven customer experience platforms, leveraging Google Cloud technologies and Generative AI.
🔧 Key Responsibilities
• Architect and develop advanced AI agents using Gemini Enterprise for Customer Experience, Gemini models, and CXAS, with focus on reasoning, grounding, and tool-use capabilities
• Lead migration of legacy conversational systems (Dialogflow CX, Playbooks, third-party bots) to modern generative AI architectures
• Design and implement Agent Assist solutions (Generative Knowledge Assist, Proactive GKA, AI Coach, Live Translation) and leverage CCAI Insights for analytics and optimization
• Integrate AI agents with CCaaS/telephony platforms (Genesys, Cisco, Avaya) and CRM systems (Salesforce, Zendesk) via APIs and middleware
• Build and optimize prompt engineering and orchestration layers for accuracy, safety, and brand alignment
• Design and maintain RAG (Retrieval-Augmented Generation) pipelines using enterprise knowledge sources
• Manage CI/CD pipelines and DevOps automation using Terraform and infrastructure-as-code principles
• Establish Agent Ops practices, including monitoring performance (latency, accuracy, safety, customer satisfaction) and continuous improvement
• Collaborate with CX leads and product teams to translate business needs into scalable AI solutions
🎯 Minimum Qualifications
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 7+ years of experience in technical client services
• Experience designing and implementing cloud-based architectures
• Strong expertise in Large Language Models (especially Gemini) and conversational AI platforms (CXAS, Dialogflow)
• Advanced programming skills in Python (AI orchestration experience preferred)
• Experience building and consuming REST APIs
• Knowledge of cloud infrastructure (preferably Google Cloud Platform)
• Experience with vector databases (e.g., Pinecone, Vertex AI Search) and SQL/NoSQL systems
• Understanding of enterprise security, PII handling, and AI safety principles
⭐ Nice to Have
• Google Cloud certifications (Architect, Machine Learning, Networking, etc.)
• Experience with CCaaS platforms (Genesys, Cisco, Avaya) and telephony protocols (SIP, WebRTC)
• Hands-on experience with Vertex AI, Dialogflow CX, Agent Assist, and CCAI Insights
• Strong DevOps / AgentOps background with CI/CD automation
• Experience delivering AI solutions from prototype to production at enterprise scale
• Knowledge of identity management, encryption, and enterprise security practices
• Strong communication and stakeholder management skills
• Programming experience in Java, Go, or C++ in addition to Python
🌍 What We Offer
• Fully remote work (Poland-based)
• High-impact enterprise AI projects
• Cutting-edge work with Generative AI and Google Cloud technologies
• Long-term engagement opportunity
• Competitive rate
🔍 Dekoder Ogłoszenia
🔴
advanced AI agents using Gemini Enterprise for Customer Experience, Gemini models, and CXAS, with focus on reasoning, grounding, and tool-use capabilities
Oznacza to pracę z bardzo nowymi, potencjalnie niestabilnymi technologiami AI, które mogą wymagać dużo eksperymentowania i rozwiązywania problemów.
🔴
Lead migration of legacy conversational systems (Dialogflow CX, Playbooks, third-party bots) to modern generative AI architectures
Może oznaczać pracę z przestarzałymi systemami, które są trudne do migracji i mogą wymagać znaczącego nakładu pracy w celu ich modernizacji.
🔴
Integrate AI agents with CCaaS/telephony platforms (Genesys, Cisco, Avaya) and CRM systems (Salesforce, Zendesk) via APIs and middleware
Wymaga integracji z różnymi, często złożonymi i nie zawsze dobrze udokumentowanymi systemami zewnętrznymi, co może być czasochłonne i frustrujące.
🔴
Build and optimize prompt engineering and orchestration layers for accuracy, safety, and brand alignment
Praca nad warstwami "prompt engineering" i "orchestration" sugeruje, że systemy AI mogą nie działać idealnie i wymagać ciągłego dostrajania, aby osiągnąć pożądane rezultaty.
🔴
Establish Agent Ops practices, including monitoring performance (latency, accuracy, safety, customer satisfact
Określenie "Agent Ops" sugeruje, że zespół będzie musiał stworzyć i wdrożyć nowe praktyki operacyjne dla systemów AI, co może oznaczać brak ugruntowanych procesów.