{"id":2111724,"url":"https://alion.io/job/mindbox-senior-full-stack-aiml-engineer","title":"Senior Full Stack AI/ML 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":77,"ghost_share":0,"stale_share":0.481,"repost_share":0.026,"time_to_fill_p50_days":52,"computed_at":"2026-10-12T06:55:09Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":63000,"max_usd":106000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":56},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"DeepEval","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google ADK","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Mistral","optional":false},{"name":"MLFlow","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Ragas","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-06-16T09:02:05Z","employer_posted_date":"2026-06-16","last_verified_at":"2026-10-12T07:45:53Z","board_verified":true,"closed_at":null,"days_open":118,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":118},"description":"At Mindboxwe connect top IT talents with technology projects for leading enterprises across Europe.\nWe are looking for a highly autonomous AI/ML Engineer to design, build, deploy, and operate end-to-end AI/ML and Generative AI solutions at enterprise scale. This role is part of a major data transformation program enabling strategic initiatives for senior stakeholders by delivering business-critical insights, conversational AI systems, agent-based workflows, and advanced analytics solutions.\nYou will take full ownership of architecture, development, automated deployments, and post-production support of modern AI ecosystems, ensuring they are secure, scalable, compliant, and cost-optimized.\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 days from the office per week\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 with stakeholders to translate business requirements into innovative AI solutions, maintaining compliance with security and governance standards.\nDesign and deliver production-grade AI/ML systems, including conversational AI, chatbots, agentic AI workflows, and RAG-powered applications.\nBuild secure and scalable cloud-native architectures, leveraging platforms like AWS, GCP or Azure.\nDevelop APIs, backend microservices, frontend components, and enterprise system integrations.\nImplement MLOps/LLMOps practices: monitoring, evaluation, model versioning, rollback automation, and guardrails.\nOptimize latency, reliability, and availability for real-time applications, ensuring Ensure compliance with AI governance, security measures, and data privacy regulations including input/output guardrails and adversarial robustness.\nNote:Detailed project information will be shared during the recruitment process.\nBenefits\n7+ years of software engineering experience, including 3+ years delivering production AI/ML pipelines or applications.\nSuccessfully delivered 2+ end-to-end AI solutions, including at least one enterprise conversational AI system deployed to production.\n Expert-level Python and strong understanding of software patterns, automated testing, and ML frameworks (PyTorch, TensorFlow, Scikit-learn).\nHands-on experience with containerization and orchestration (Docker, Kubernetes), and automated deployments in cloud-native environments.\nDeep experience with multiple LLM families (e.g., GPT, Claude, Gemini, Llama, Mistral), prompt engineering, function-calling, workflow orchestration, and memory/state management.\nProven experience delivering RAG systems (vector databases, hybrid search, embeddings, chunking, retrieval optimization).\nWorking knowledge of agent-based frameworks: LangChain, LangGraph, Google ADK, plus familiarity with LlamaIndex, Semantic Kernel, AutoGen, CrewAI.\nMLOps/LLMOps tools (MLflow, Kubeflow), experiment tracking, compliance monitoring, model versioning, and automated evaluation frameworks (e.g., LangSmith, Ragas, DeepEval).\nExperience applying input/output guardrails, RBAC, PII masking, red-teaming, and secure AI controls.\nNice to have:\nPrior experience building enterprise AI platforms or reusable AI accelerators.\nFamiliarity with financial services regulatory environments and compliance workflows.\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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