Senior Full Stack AI/ML Engineer

1600 - 1800 PLN/ dzień./ dzień.B2BB2B (netto)

SeniorHybryda·KrakówFull-time·B2B

#369482·Dodano 4 miesiące temu·5

Źródło: nofluffjobs.com

🚫Oferta wygasła. Ta oferta pracy nie jest już aktywna i rekrutacja została zakończona.

Tech Stack / Keywords

AIPythonAutomated testingPyTorch TensorFlow scikit-learn Docker KubernetesMLOpsMLflow KubeflowRBAC

Firma i stanowisko

Mindbox is a tech-driven company connecting top IT talents with technology projects for leading enterprises across Europe. The role is part of a major data transformation program delivering business-critical insights, conversational AI systems, agent-based workflows, and advanced analytics solutions.

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.
Experience with 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.

Nice to have:

Prior experience building enterprise AI platforms or reusable AI accelerators.
Familiarity with financial services regulatory environments and compliance workflows.

Obowiązki

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.

Benefity

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

Elastyczne godziny

Płatny urlop

Opieka zdrowotna

Karta sportowa

Ubezpieczenie

Mindbox

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