Top Artificial Intelligence Jobs in Poland

Design and implement enterprise knowledge graph solutions, build semantic models/ontologies, optimize graph data models and queries, integrate graphs with Data & AI platforms (RAG/Agentic AI), and collaborate with cross-functional teams and clients on graph and AI initiatives.

Build and ship end-to-end AI features: design prompts, tools, memory and agent workflows; convert model outputs into reliable behavior; debug model-to-product stack; optimize latency, cost, and reliability; create lightweight evaluation frameworks and collaborate with product and engineering to deliver production ML systems.

Build end-to-end AI-native product features across frontend, backend, and model integrations. Design and deploy agent workflows, streaming real-time interactions, reliability and fallback mechanisms, and integrate LLMs, memory, and external tools to complete multi-step tasks. Collaborate with ML, backend, and product teams and iterate based on real usage and failure modes.

Join our team to create and implement AI solutions, focusing on cloud applications and ETL processes while supporting entrepreneurs with the public cloud.

Lead the transformation of the General Accounting function through AI and automation, enhancing decision-making, operational efficiency, and compliance while fostering a culture of innovation.

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

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

The Implementation Consultant will advise and configure AI legal solutions, manage client engagements, train users, and deliver tailored implementations for legal departments.

Design and implement robotics software and AI/ML models for embedded systems, focusing on performance optimization and system integration. Lead architectural decisions and ensure production readiness of robotics and edge AI solutions.

The AI Platform Engineer will design, deploy, and maintain AI infrastructure, manage Kubernetes operations, optimize AWS services, and develop CI/CD workflows while supporting engineering users and collaborating with stakeholders.

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.

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.

The trainee will implement AI solutions in factory settings, deploy tools for industrial challenges, analyze data for machine learning models, and support local teams across European sites.

The AI Platform Engineer is responsible for designing, maintaining, and improving the Global AI Platform, ensuring scalability, security, and reliability while collaborating with various teams to enable AI adoption.

The Senior Software Engineer will design and implement AI capabilities, architecture, and product experiences, focusing on production AI features and collaborating with cross-functional teams.

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.

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

The Senior AI Product Manager will lead cross-functional teams to define, develop, and manage B2B SaaS products, focusing on customer value and market needs, while utilizing Agile methodologies and Generative AI technologies.

The Growth Designer will manage the creation and launch of high-conversion digital marketing assets, ensuring fast delivery and scalability while utilizing AI tools and no/low-code technology.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

This role focuses on enhancing brand visibility in AI-generated answers through content optimization, community engagement, and outreach efforts. Output measurement is key, with targets for content delivery and community participation.

Design, build, and deploy integrations and AI-enabled workflows for business efficiency. Own MCP Gateway, drive automation, and collaborate cross-functionally.

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.

Create short- and long-form AI-generated educational and entertainment content for Instagram, TikTok, and YouTube. Rapidly test content hypotheses, analyze performance, research trends and competitors, and iterate on hooks, storytelling, and editing. Collaborate with the product team and continually experiment with AI image/video generation and editing tools.

Design and build agentic, goal-driven conversational systems using LLMs and NLP. Lead end-to-end ML product development including training, evaluation, deployment, and observability. Mentor engineers, drive technical decisions, and integrate intelligent agents into recruiting workflows to improve personalization and automation.