{"id":2111772,"url":"https://alion.io/job/mindbox-full-stack-engineer-4","title":"Full Stack Engineer","company":{"id":53456,"name":"Mindbox","domain":"mindboxgroup.com","url":"https://alion.io/company/mindbox","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":{"grade":"A","score":88,"open_postings":72,"ghost_share":0,"stale_share":0.472,"repost_share":0.028,"time_to_fill_p50_days":53,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":81000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":91},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Function Calling","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"DuckDB","optional":true},{"name":"Java","optional":true},{"name":"LiteLLM","optional":true},{"name":"Unix","optional":true}],"status":"live","first_seen_at":"2026-04-07T09:00:08Z","employer_posted_date":"2026-04-07","last_verified_at":"2026-10-17T01:08:21Z","board_verified":true,"closed_at":null,"days_open":192,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":191},"description":"At Mindboxwe connect top IT talents with technology projects for leading enterprises across Europe.\nAs 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.\nSounds like your kind of challenge?\nResponsibilities\n Flexible cooperation model - choose the form that suits you best(B2B, employment contract, etc.).\n\nHybrid work setup - (2/week from Kraków).\nCollaborative team culture - work alongside experienced professionals eager to share knowledge.\nContinuous development - access to training platforms and growth opportunities.\nComprehensive benefits - including Interpolska Health Care, Multisport card, Warta Insurance, and more.\nHigh quality equipment - laptop and essential software provided.\nRequirements\nCollaborate in a team of 3-6 engineers with a dedicated product owner.\nDeliver business requirements iteratively, ensuring continuous value delivery.\nTake ownership of production support.\nWork across multiple programming languages and adapt to different technologies.Identify and address technical debt while balancing new feature development.\nPair with team members, share knowledge, and contribute to a culture of learning.\nExplore automation opportunities and develop tools for team-wide use.\nEngage in production governance, risk monitoring, and control support.\nNote:Detailed project information will be shared during the recruitment process.\nBenefits\nProficiency in Python for backend service development. (4+ years of experience)\nExperience in LLM application development (AI agents, tool/function calling, RAG pipelines).\nKnowledge of LangChain and/or LangGraph for multi-step LLM workflows.\nExpertise in prompt engineering for constrained generation.\nStrong SQL skills.\nExperience with RESTful API design and integration between AI services and backend systems.\nFamiliarity with LLM observability and evaluation (e.g., LangFuse, LangSmith).\nCloud LLM deployment experience (e.g., Azure OpenAI or equivalent).\nStrong analytical and problem-solving skills.\nAbility to write and execute unit tests prior to UAT.\nNice to Have:\nExperience with columnar data formats and analytical databases (e.g., Parquet, DuckDB).\nFamiliarity with multi-LLM routing frameworks (e.g., LiteLLM).\nWorking knowledge of Java enterprise ecosystems and Unix.\nUnderstanding of HTTP APIs and RESTful services.\nJoining this project you’llbecome part of Mindbox - a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. 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