GenAI & AI Engineer on Google Cloud - Hybrid Warsaw

Kyriba

Warszawa

Hybrid

PLN 273,000 - 345,000

Full time

14 days+
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Benefits offered by this job

Health benefits
Hybrid work model
Competitive compensation package

Job summary

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

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Python
SQL
AI/GenAI solutions
Data pipelines
Cross-functional collaboration

Tools

Google Cloud Platform
BigQuery
Vertex AI
Looker
n8n
APIs

Job description

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

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