GenAI & AI Engineer on Google Cloud - Hybrid Warsaw

Kyriba; Warszawa; Híbrido; PLN 273 000 - 345 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health benefits

Hybrid work model

Competitive compensation package

Resumo da oferta

Kyriba is seeking a highly capable AI Engineer to design and deliver enterprise AI and Generative AI solutions using Google Cloud, with strong focus on BigQuery, Vertex AI, Looker and n8n. This role combines hands-on AI engineering with data and integration capabilities to create scalable, production-ready solutions.

You will collaborate with Data Engineering, BI and Automation teams to operationalize AI use cases across the business, improving decision-making and automating processes in a

Qualificações

• Experience with Google Cloud Platform, BigQuery, Vertex AI and related services.
• Experience in building and operationalizing AI/GenAI solutions in enterprise environments.
• Familiarity with Looker and modern workflow automation tools such as n8n.

Responsabilidades

• Build and deploy AI and GenAI solutions using Vertex AI, BigQuery ML, and Google Cloud services.
• Develop data pipelines, inference workflows, and retrieval or context layers using BigQuery and GCP.
• Integrate AI outputs into Looker, enterprise applications, and automated workflows.
• Design and support AI-enabled process automation using n8n, APIs, and webhooks.
• Help define best practices for scalable, secure, and well-governed AI delivery in production.

Conhecimentos

Python

SQL

AI/GenAI solutions

Data pipelines

Cross-functional collaboration

Ferramentas

Google Cloud Platform

BigQuery

Vertex AI

Looker

n8n

APIs

Descrição da oferta de emprego

Kyriba is seeking a highly capable AI Engineer to design and deliver enterprise AI and Generative AI solutions using Google Cloud, with strong focus on BigQuery, Vertex AI, Looker and n8n. This role combines hands-on AI engineering with data and integration capabilities to create scalable, production-ready solutions.

You will collaborate with Data Engineering, BI and Automation teams to operationalize AI use cases across the business, improving decision-making and automating processes in a