2 months ago
Warsaw, PolandMid Level
Responsibilities
- Build and deploy AI and generative AI solutions using Vertex AI, BigQuery ML, and Google Cloud services.
- Develop data pipelines, inference workflows, and retrieval or context layers using BigQuery and Google Cloud Platform.
- Integrate AI outputs into Looker, enterprise applications, and automated workflows.
- Design and support AI-enabled process automation using n8n, APIs, and webhooks.
- Define best practices for scalable, secure, and well-governed AI delivery in production.
- Partner with Data Engineering, BI, and Automation teams to operationalize AI use cases.
Requirements
- Strong experience with Google Cloud Platform, especially BigQuery, Vertex AI, and related services.
- Strong Python and SQL skills.
- Experience building and operationalizing AI, machine learning, or generative AI solutions in enterprise environments.
- Familiarity with Looker and modern workflow automation tools such as n8n.
- Strong understanding of integration patterns, APIs, data pipelines, and cloud-based architecture.
- Ability to work cross-functionally and communicate clearly with technical and business stakeholders.
Benefits
- Annual base salary range of zł272,600.00–zł344,900.00 for a full-time schedule, excluding variable compensation and long-term incentives.
- Comprehensive health, welfare, and wellbeing benefits.
- Warsaw-based hybrid work arrangement.
- Full-time UoP employment contract.
- Equal opportunity employer with reasonable accommodations available during recruitment and employment.
Tech Stack
Categories
About Kyriba
Kyriba builds a cloud treasury and liquidity management platform for enterprise finance teams, covering cash and risk management, payments, and working capital solutions. It sells its software via SaaS subscriptions and connectors to ERPs and banks used by CFOs and treasurers to manage liquidity workflows at scale. The company is headquartered in San Diego and privately owned by Bridgepoint, and serves 3,000+ customers while processing $15 trillion in payments annually.