{"id":147266,"url":"https://alion.io/job/mindbox-ai-engineer","title":"AI 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":87,"open_postings":71,"ghost_share":0,"stale_share":0.507,"repost_share":0.028,"time_to_fill_p50_days":53,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","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":49000,"max_usd":100000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Java","optional":true},{"name":"Jenkins","optional":true},{"name":"Kubernetes","optional":true},{"name":"Redis","optional":true},{"name":"Spring Framework","optional":true}],"status":"live","first_seen_at":"2026-08-19T12:20:16Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-10-24T04:38:13Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":65},"description":"At Mindboxwe connect top IT talents with technology projects for leading enterprises across Europe.\nJoin our client's team, where you'll play a key role in shaping AI-powered solutions for Credit & Lending use cases. Your contribution will help deliver high-impact solutions in financial services - intelligent systems built on LLMs and RAG that bring real insight to complex financial data.\nYou'll step in as an AI Engineer, working closely with engineers, product managers, and business experts to design, implement, and deploy AI solutions end-to-end. Your role will be central to building reliable, production-grade systems that leverage the latest in LLM and RAG technology - not just execution.\nSounds like your kind of challenge?\n#LI - Hybrid: 2x/week from the office in Kraków\nResponsibilities\nFlexible cooperation model\nHybrid work setup - remote days available depending on the client’s arrangements \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 \n High quality equipment - laptop and essential software provided \nRequirements\nDesign, test, and optimize prompts for Large Language Models (LLMs) to deliver high-quality, reliable outputs for Credit & Lending use cases.\nDevelop and implement RAG (Retrieval-Augmented Generation) pipelines and vector database solutions to unlock insights from complex financial data.\nParticipate in the full solution lifecycle - from problem discovery and prototyping through to design, implementation, and production deployment.\nApply AI best practices to ensure fairness, transparency, and accountability across all models and applications.\nCo-author solution designs and architecture; maintain and evolve products in production.\nUtilize cloud platforms (Azure, GCP) for the development, deployment, and scaling of AI models.\nWrite and maintain high-quality, testable, and reusable code.\nCollaborate with a cross-functional team to align technical efforts with strategic goals\nNote:Detailed project information will be shared during the recruitment process.\nBenefits\nPython (3+ years of hands-on experience)\nPractical experience with LLMs, Prompt Engineering, and RAG (Retrieval-Augmented Generation)\nKnowledge of Agentic architectures\nBackground in machine learning, deep learning, and NLP\nVector Databases and SQL Databases (PostgreSQL)\nFastAPI, LangChain\nKnowledge of Microservices architecture, API design, Observability, and Concurrency models\nAzure and/or GCP - cloud development, deployment, and scaling\nPractical experience with TDD and BDD\nStrong English communication skills - ability to present technical solutions to business stakeholders\nNice to have\nJava (regular use) and Spring framework\nRedis (KV stores)\nKubernetes and CI/CD tooling (Jenkins, Azure DevOps, GCP Cloud Build)\nContainer-based development (Docker, Data containers)\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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