Specialist Engineer

Mindbox Sp. z o.o.Krakównofluffjobszveřejněno 09. 11. 2026
Nutné:PythonJavaCI/CDAISecurityHybrid

At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.

Build the Future of AI as a Specialist Engineer!

Are you excited about cutting-edge GenAI solutions and want to be part of innovative projects? Join our client’s team as a Specialist Engineer and help design core agents, pipelines, and microservices that power advanced AI systems.

Sounds like your kind of challenge?

What you get in return

  • Flexible cooperation model – choose the form that suits you best

(B2B, employment contract, etc.)

  • Hybrid work setup – 6 days per month in the office in Kraków
  • Collaborative team culture – work alongside experienced professionals eager to share knowledge
  • Continuous development – access to training platforms and growth opportunities
  • Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
  • High quality equipment – laptop and essential software provided

Daily tasks

  • Create agents sourcing data from systems used by GenAI models.
  • Build data transfer pipelines for efficient integration.
  • Develop microservices integrated with GenAI solutions.

Requirements

  • Strong experience in Python (FastAPI) and microservices architecture.
  • Hands-on knowledge of:
  • Databases & storage: MongoDB, Vector stores, Hadoop, Starburst (Data Virtualization), PostgreSQL, GCP BigQuery
  • Google Cloud Platform, Azure Cloud
  • Google ADK, Memory stores, RAGs, Context Engineering, Evaluation systems
  • Background in building scalable, cloud-based solutions is highly desirable.

Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.

Must have: Python, FastAPI, Microservices architecture, MongoDB, Hadoop, Virtualization, PostgreSQL, GCP, BigQuery, Google Cloud Platform, Azure Cloud