AI Summary
Design and develop scalable, cloud-native architecture on GCP. Architect and implement autonomous AI workflows. Contribute to core system development and build secure API integrations.
Key Highlights
Design and develop scalable, cloud-native architecture on GCP
Architect and implement autonomous AI workflows
Contribute to core system development and build secure API integrations
Key Responsibilities
Design and develop a scalable, cloud-native architecture on GCP that meets enterprise security and multi-tenant data isolation requirements for a SaaS environment
Architect and implement autonomous, multi-step AI workflows with a clear separation of agent responsibilities (retrieval, analysis, reasoning, response generation)
Actively contribute to core system development-coding orchestration logic, designing services, optimizing performance, and building secure API integrations for routing queries across internal and external agents
Design the backend layer, streaming protocols, and APIs to seamlessly support and integrate with advanced conversational UIs
Build a robust backend capable of processing qualitative and social data, ensuring the platform is easily extensible to incorporate new data sources
Technical Skills Required
Benefits & Perks
attractive salary
full remote work
sporto card
healthcare insurance
Nice to Have
experience in market research, qualitative NLP, or social listening platforms
familiarity with enterprise research tooling or data platforms
experience with streaming architectures and real-time conversational AI patterns
Job Description
Our client is an innovative technology company specializing in the development of advanced digital solutions, including artificial intelligence (AI), chatbots, and system integrations. Established in 2025 and based in Warsaw, Poland, this company continuously evolves its services to meet the rapidly changing market needs. In search of new talents, the company offers the opportunity to work on projects that shape the future of technology. The team consists of experienced professionals, including programmers, UX/UI designers, and project managers, who work together to deliver innovative solutions that not only meet but exceed client expectations. The company places a strong emphasis on professional development of its employees, offering flexible working conditions and the possibility of remote work. If you want to be part of a team that is making revolutionary changes in the tech industry, our client is waiting for you.
GCP AI Platform Architect / Lead AI Platform Engineer
location: Warszawa, Białystok, Gdańsk, Katowice, Kraków, Łódź, Lublin, Poznań, Rzeszów, Wrocław
Job Description
- System Architecture: Design and develop a scalable, cloud-native architecture on Google Cloud Platform (GCP) that meets enterprise security and multi-tenant data isolation requirements for a SaaS environment.
- AI Agent Orchestration: Architect and implement autonomous, multi-step AI workflows with a clear separation of agent responsibilities (retrieval, analysis, reasoning, response generation).
- Hands-on Core Development: Actively contribute to core system development-coding orchestration logic, designing services, optimizing performance, and building secure API integrations for routing queries across internal and external agents.
- Frontend Enablement: Design the backend layer, streaming protocols, and APIs to seamlessly support and integrate with advanced conversational UIs.
- Data Management & Extensibility: Build a robust backend capable of processing qualitative and social data, ensuring the platform is easily extensible to incorporate new data sources.
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- GCP Expertise (verifiable - ask for production examples): GCP is their primary cloud not secondary experience alongside AWS/Azure. Production deployments across most of: Vertex AI, Cloud Run or GKE, Pub/Sub, BigQuery, Secret Manager, VPC Service Controls, IAM + Workload Identity. Has designed for GCP from scratch, not migrated from another cloud, end-to-end ownership
- AI / Backend Engineering: Python is the primary language - production-grade service/API development, not scripting or data science only. Strong track record building distributed systems and integrating LLMs.
- Agentic Architecture (must be production, not PoC): Hands-on production experience with at least one: LangGraph, Google ADK, CrewAI, or custom multi-agent orchestration layer. RAG pipelines shipped to production. Google ADK: candidate must be able to explain what it is, when to use it, and how it compares to LangGraph and custom orchestration. AI agent workflows, ReAct prompting, and Function Calling in production environments
- Multi-Tenant Architecture: Has designed a multi-tenant SaaS platform end-to-end - not just contributed. Can articulate tenant isolation strategies: IAM boundary design, data isolation per tenant, VPC controls.
- API Design & Integrations: Proven ability to create secure, high-performance APIs capable of asynchronously managing traffic and communication between multiple decoupled services.
- Enterprise Security: Practical knowledge of data isolation in multi-tenant SaaS architectures, IAM, and securing cloud-based environments.
- Vector Databases: Hands-on experience with semantic search and at least one of: Pinecone, Weaviate, pgvector, or Vertex Matching Engine.
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Experience in market research, qualitative NLP, or social listening platforms
- Familiarity with enterprise research tooling or data platforms
- Experience with streaming architectures and real-time conversational AI patterns
- Attractive salary
- Full remote work
- Social benefits:sporto card,healthcare insurance
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