Senior Full Stack AI/ML Engineer
⚲ Kraków
32 000 - 36 000 zł net (+ VAT)
Wymagania
- Python
- PyTorch
- TensorFlow
- Scikit-learn
- Docker
- Kubernetes
- MLflow
- Kubeflow
- GPT (nice to have)
- Claude (nice to have)
- Gemini (nice to have)
- Llama (nice to have)
- Mistral (nice to have)
Opis stanowiska
Wymagania:
- 7+ years of software engineering experience, including 3+ years delivering production AI/ML pipelines or applications.
- Successfully delivered 2+ end-to-end AI solutions, including at least one enterprise conversational AI system deployed to production.
- Expert-level Python and strong understanding of software patterns, automated testing, and ML frameworks (PyTorch, TensorFlow, Scikit-learn).
- Hands-on experience with containerization and orchestration (Docker, Kubernetes), and automated deployments in cloud-native environments.
- Deep experience with multiple LLM families (e.g., GPT, Claude, Gemini, Llama, Mistral), prompt engineering, function-calling, workflow orchestration, and memory/state management.
- Proven experience delivering RAG systems (vector databases, hybrid search, embeddings, chunking, retrieval optimization).
- Working knowledge of agent-based frameworks: LangChain, LangGraph, Google ADK, plus familiarity with LlamaIndex, Semantic Kernel, AutoGen, CrewAI.
- MLOps/LLMOps tools (MLflow, Kubeflow), experiment tracking, compliance monitoring, model versioning, and automated evaluation frameworks (e.g., LangSmith, Ragas, DeepEval).
- Experience applying input/output guardrails, RBAC, PII masking, red-teaming, and secure AI controls.
Mile widziane:
- Prior experience building enterprise AI platforms or reusable AI accelerators.
- Familiarity with financial services regulatory environments and compliance workflows.
O firmie:
- At Mindbox, we connect top IT talents with technology projects for leading enterprises across Europe.
- Our focus is on matching your skills with work that matters – projects that use modern tech stacks, solve real business challenges, and give you space to grow. By joining us, you’ll deliver technology solutions for well-known brands, supported by the Mindbox team that values knowledge-sharing and continuous development. We make sure you have the tools, flexibility, and guidance to do your best work – and to keep moving forward in your career.
Zakres obowiązków:
- Collaborate with stakeholders to translate business requirements into innovative AI solutions, maintaining compliance with security and governance standards.
- Design and deliver production-grade AI/ML systems, including conversational AI, chatbots, agentic AI workflows, and RAG-powered applications.
- Build secure and scalable cloud-native architectures, leveraging platforms like AWS, GCP or Azure.
- Develop APIs, backend microservices, frontend components, and enterprise system integrations.
- Implement MLOps/LLMOps practices: monitoring, evaluation, model versioning, rollback automation, and guardrails.
- Optimize latency, reliability, and availability for real-time applications, ensuring <5s response time under expected workloads.
- Ensure compliance with AI governance, security measures, and data privacy regulations including input/output guardrails and adversarial robustness.
- Note: Detailed project information will be shared during the recruitment process.
Oferujemy:
- Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.).
- Hybrid work setup – 2 days from the office per week.
- Collaborative team culture – work alongside experienced professionals eager to share knowledge.
- Continuous development – access to training platforms and growth opportunities.
- Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more.
- High quality equipment – laptop and essential software provided.
- 7+ years of software engineering experience, including 3+ years delivering production AI/ML pipelines or applications.
- Successfully delivered 2+ end-to-end AI solutions, including at least one enterprise conversational AI system deployed to production.
- Expert-level Python and strong understanding of software patterns, automated testing, and ML frameworks (PyTorch, TensorFlow, Scikit-learn).
- Hands-on experience with containerization and orchestration (Docker, Kubernetes), and automated deployments in cloud-native environments.
- Deep experience with multiple LLM families (e.g., GPT, Claude, Gemini, Llama, Mistral), prompt engineering, function-calling, workflow orchestration, and memory/state management.
- Proven experience delivering RAG systems (vector databases, hybrid search, embeddings, chunking, retrieval optimization).
- Working knowledge of agent-based frameworks: LangChain, LangGraph, Google ADK, plus familiarity with LlamaIndex, Semantic Kernel, AutoGen, CrewAI.
- MLOps/LLMOps tools (MLflow, Kubeflow), experiment tracking, compliance monitoring, model versioning, and automated evaluation frameworks (e.g., LangSmith, Ragas, DeepEval).
- Experience applying input/output guardrails, RBAC, PII masking, red-teaming, and secure AI controls.
Mile widziane:
- Prior experience building enterprise AI platforms or reusable AI accelerators.
- Familiarity with financial services regulatory environments and compliance workflows.
O firmie:
- At Mindbox, we connect top IT talents with technology projects for leading enterprises across Europe.
- Our focus is on matching your skills with work that matters – projects that use modern tech stacks, solve real business challenges, and give you space to grow. By joining us, you’ll deliver technology solutions for well-known brands, supported by the Mindbox team that values knowledge-sharing and continuous development. We make sure you have the tools, flexibility, and guidance to do your best work – and to keep moving forward in your career.
Zakres obowiązków:
- Collaborate with stakeholders to translate business requirements into innovative AI solutions, maintaining compliance with security and governance standards.
- Design and deliver production-grade AI/ML systems, including conversational AI, chatbots, agentic AI workflows, and RAG-powered applications.
- Build secure and scalable cloud-native architectures, leveraging platforms like AWS, GCP or Azure.
- Develop APIs, backend microservices, frontend components, and enterprise system integrations.
- Implement MLOps/LLMOps practices: monitoring, evaluation, model versioning, rollback automation, and guardrails.
- Optimize latency, reliability, and availability for real-time applications, ensuring <5s response time under expected workloads.
- Ensure compliance with AI governance, security measures, and data privacy regulations including input/output guardrails and adversarial robustness.
- Note: Detailed project information will be shared during the recruitment process.
Oferujemy:
- Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.).
- Hybrid work setup – 2 days from the office per week.
- Collaborative team culture – work alongside experienced professionals eager to share knowledge.
- Continuous development – access to training platforms and growth opportunities.
- Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more.
- High quality equipment – laptop and essential software provided.
🔍 Dekoder Ogłoszenia
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7+ years of software engineering experience, including 3+ years delivering production AI/ML pipelines or applications.
Oczekują od kandydata solidnego doświadczenia w inżynierii oprogramowania, z naciskiem na praktyczne wdrożenia rozwiązań AI/ML w środowisku produkcyjnym.
🟡
Successfully delivered 2+ end-to-end AI solutions, including at least one enterprise conversational AI system deployed to production.
Poszukiwany jest kandydat z udokumentowanym sukcesem w tworzeniu i wdrażaniu kompletnych systemów AI, ze szczególnym uwzględnieniem systemów konwersacyjnych na dużą skalę.
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Expert-level Python and strong understanding of software patterns, automated testing, and ML frameworks (PyTorch, TensorFlow, Scikit-learn).
Wymagana jest biegłość w Pythonie oraz dogłębna wiedza z zakresu dobrych praktyk programistycznych, testowania automatycznego i popularnych bibliotek uczenia maszynowego.
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Deep experience with multiple LLM families (e.g., GPT, Claude, Gemini, Llama, Mistral), prompt engineering, function-calling, workflow orchestration, and memory/state management.
Oczekiwane jest zaawansowane doświadczenie w pracy z różnymi modelami językowymi, w tym w tworzeniu efektywnych promptów, zarządzaniu przepływami pracy i stanem aplikacji.
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Proven experience delivering RAG systems (vector databases, hybrid search, embeddings, chunking, retrieval optimization).
Kluczowe jest udowodnione doświadczenie w budowaniu systemów Retrieval Augmented Generation, obejmujące kluczowe komponenty takie jak bazy wektorowe i optymalizacja wyszukiwania.