Specialist Engineer

Mindbox Sp. z o.o.Krakównofluffjobsjulkaistu 07.09.2026
Pakollinen:PythonJavaAgileCI/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