Full Stack Engineer

Mindbox is a tech-driven company connecting top IT talents with technology projects for leading enterprises across Europe. The company focuses on consulting, engineering, and talent to build meaningful digital solutions.

• Proficiency in Python.
• Experience in LLM application development.
• Knowledge of LangChain and/or LangGraph.
• Expertise in prompt engineering.
• Strong SQL skills.
• Experience with RESTful API design.
• Familiarity with LLM observability and evaluation tools.
• Cloud LLM deployment experience (Azure OpenAI or equivalent).
• Strong analytical and problem-solving skills.
• Ability to write and execute unit tests.

Nice to have:

• Experience with columnar data formats and analytical databases.
• Familiarity with multi-LLM routing frameworks.
• Working knowledge of Java enterprise ecosystems and Unix.
• Understanding of HTTP APIs and RESTful services.

• Proficiency in Python for backend service development.
• 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).
• Ability to write and execute unit tests prior to UAT.
• Strong analytical and problem-solving skills.

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.

• 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.