Full Stack Engineer

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

As a Full Stack Engineer , you will be part of a dynamic, DevOps-oriented team responsible for end-to-end software delivery - from analysis and development to production release and support. We work in small, collaborative teams, deploying code to production daily. Everyone in the team contributes to development, testing, and production support.

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 – (2/msc from 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

• Collaborate in a team of 3–6 engineers with a dedicated product owner.
• Deliver business requirements iteratively, ensuring continuous value delivery.
• Take ownership of production support.
• Work across multiple programming languages and adapt to different technologies.Identify and address technical debt while balancing new feature development.
• Pair with team members, share knowledge, and contribute to a culture of learning.
• Explore automation opportunities and develop tools for team-wide use.
• Engage in production governance, risk monitoring, and control support.

Requirements

Proficiency in  Python  for backend service development. (4+ years of experience)

Experience in  LLM application development  (AI agents, tool/function calling, RAG pipelines).

Knowledge of  LangChain  and/or  LangGraph  for multi-step LLM workflows.

Expertise in  prompt engineering  for constrained generation.

Strong  SQL  skills.

Experience with  RESTful API design  and integration between AI services and backend systems.

Familiarity with  LLM observability and evaluation  (e.g., LangFuse, LangSmith).

Cloud LLM deployment experience (e.g.,  Azure OpenAI  or equivalent).

Strong analytical and problem-solving skills.

Ability to write and execute unit tests prior to UAT.

Nice to Have:

Experience with  columnar data formats  and analytical databases (e.g., Parquet, DuckDB).

Familiarity with  multi-LLM routing frameworks  (e.g., LiteLLM).

Working knowledge of  Java enterprise ecosystems  and  Unix .

Understanding of  HTTP APIs  and RESTful services.

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, AI, SQL, REST API, Cloud LLM, Azure OpenAI

Nice to have: Java Enterprise, Unix, HTTP APIs