Full Stack Engineer, KRAKÓW

• 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. 

What you get in return
,[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: Python, AI, SQL, REST API, Cloud LLM, Azure OpenAI , Java Enterprise, Unix, HTTP APIs Additionally: Sport Subscription, Private healthcare, Life insurance, Training budget, Small teams, Free coffee, Free snacks, In-house trainings, Modern office, No dress code.