Top Artificial Intelligence Jobs in Krakow

Design, build, and scale ETL/ELT and real-time data pipelines for AI workloads (RAG, fine-tuning, batch inference). Transform unstructured data into vectorized formats, manage feature stores and vector databases, enforce data quality/governance, integrate event systems (Kafka), and collaborate with ML and engineering teams.

Lead end-to-end development and integration of AI features (LLMs/ML) into web/mobile apps and APIs. Design AI-first UX, craft and optimize system prompts, build agentic workflows (LangChain/CrewAI/AutoGen), implement error-handling and hybrid cloud/on-prem deployments, and collaborate within product squads using Agile/Scrum.

Design, build, and maintain automated test suites for web, API, and AI/LLM features. Evaluate LLM outputs for accuracy, relevance, and hallucination risk. Create prompt tests using Promptfoo, develop Playwright UI tests and Python automation scripts, maintain Postman collections, and collaborate with product and engineering teams within Agile processes.

Design and implement CI/CD and IaC for LLMs, automate model and dataset versioning, provision GPU/TPU infrastructure, enable safe experiment gates and progressive delivery, and build monitoring/observability and feedback loops for production LLM endpoints.

Join an agile international team to develop backend .NET services, maintain APIs, integrate systems, write clean testable C# code, use AI tools responsibly for coding assistance, participate in code reviews and debugging, and learn from experienced developers.

Develop AI-enabled workflows and methods to accelerate design, simulation, control, and validation of complex power-electronics systems. Apply ML (surrogate models, optimization, RL, Bayesian methods) integrated with MATLAB/Simulink, PSCAD, or PLECS to enable design-space exploration, model reduction, anomaly detection, and reliability assessment. Collaborate with local and global teams, external partners, and disseminate results via reports, patents, and publications.

Partner with Account Executives to present Arize's GenAI observability platform, lead technical demos and discovery, design and run PoCs, advise on GenAI/LLM best practices, handle technical objections, and build relationships with technical and business stakeholders across prospective customers.

Build production-grade generative AI applications using private LLMs: design prompts, implement RAG/vector search, integrate LLMs into backend services and web UIs, ensure enterprise security/compliance, perform data analysis, and collaborate on end-to-end deployments and automation.

Post-sales technical lead for strategic EMEA accounts, advising on cloud-native and AI deployments. Own technical relationships, troubleshoot escalations, design architectures for LLM/agentic workloads, drive product adoption, deliver training, and feed customer insights to Product and Engineering.

Own global go-to-market strategy and positioning for SUSE's AI portfolio. Translate technical cloud-native, containerized, and edge inferencing capabilities into executive-level messaging, create high-value content, enable sales and partners, lead ecosystem marketing, and provide market and competitive intelligence to influence product and GTM decisions.

Lead design, build, and operate a multi-tenant AI platform and LLMOps infrastructure across cloud and on-prem. Own vector DBs, feature stores, model hosting (Kubernetes + GPU orchestration), and developer self-service tooling. Standardize LLM-as-a-service offerings and enable squads with APIs, templates, and documentation.

The AI-First Graphic Designer will create visual assets for digital platforms, maintain brand consistency, and collaborate on marketing campaigns. The role requires managing multiple design requests in a fast-paced environment.

Lead AI engineering transformation at ABC Fitness, driving adoption strategies, managing change, and ensuring measurable success through effective execution and stakeholder alignment.

The AI Developer will design, implement, and deploy AI agents and workflows, integrating advanced models and ensuring reliable performance in production environments.

The Senior HPC and AI Network Software Architect will develop scalable AI systems focused on distributed training and inference, collaborating on software and hardware integration to enhance performance.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

Lead a team of Automation Quality Engineers while transitioning to agentic quality engineering, designing frameworks, and innovating testing solutions using AI tools.

Design and develop agentic workflows for intelligent recruiting systems, focusing on ML, NLP, collaboration, and integration with product teams.

Design and optimize AI deployment systems, collaborating with customers, managing implementation, and engineering production-grade AI solutions.

Build and maintain real-time streaming data pipelines and feature stores to power low-latency model inference. Collaborate with ML and AI infra teams on data contracts, observability, and SLAs; drive batch-to-real-time migrations and evaluate emerging streaming/feature store technologies.

Develop Python-based intelligent agents and integrate LLMs into multi-agent workflows. Build cloud-native services, robust APIs, data ingestion and storage (SQL/NoSQL/vector DBs), and contribute to orchestration, scalability, testing, and documentation.

Develop and optimize large neural-network tabular models in Python. Profile training and inference pipelines, improve memory efficiency, latency, and throughput. Implement performance-critical components in Rust (and optionally C++), ensure numerical stability and reproducibility, collaborate with researchers to productionize capabilities, and maintain tests and documentation.

Produce high-performing AI-driven paid ads from concept to final cut using AI avatars, voiceovers, b-roll, and motion graphics. Match and iterate on existing ad styles, collaborate with copywriters, optimize for hooks/pacing/CTAs, scale volume, and stay current with AI tools to innovate creative formats.

The consultant will leverage existing AI video tools to produce prototypes, test innovative approaches, and provide recommendations for scalable content production workflows.

As a Fullstack AI Engineer, you'll develop scalable backend features, integrate APIs for AI, manage AI workflows, and optimize model performance using Ruby on Rails and TypeScript.