Top Artificial Intelligence Jobs in Krakow

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

Oversee product strategy and development in EdTech and AI, manage teams, and drive data-informed decisions aligned with business goals.

As a Senior Backend Engineer, you'll integrate LLM inference, build AI services, design low-latency pipelines, and enable teams with internal frameworks and clear documentation for AI features.

Design and develop software solutions for AI/ML applications, propose new approaches to optimization problems, and collaborate with global teams in research and development.

The AI Data Engineer will build scalable data pipelines, adopt AI workflows, improve engineering efficiency, and collaborate with multiple teams while ensuring data quality.

The Junior Content & Marketing Specialist will create AI-assisted content, optimize SEO articles, and produce engaging videos. Responsibilities include content repurposing and ensuring quality standards.

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.

The AI Software Engineer will develop intelligent applications using AWS, design LLM-driven systems, and implement content management pipelines within .NET frameworks. Responsibilities include AI integration, API development, and ensuring operational resilience for global organizations.

The AI Video Ads Editor will create high-impact, AI-generated video ads for D2C brands, using AI tools and collaborating with teams to optimize content for conversions while monitoring performance metrics.

Develop and maintain automation testing frameworks, execute tests, and implement AI-driven quality practices while collaborating with product teams.

As a Principal AI Researcher, you will lead AI research projects, mentor teams, and implement innovative AI technologies for Veracode's products.

Lead the product strategy for AI agent testing and observability, ensuring tools for testing agent behavior and quality scoring are user-friendly for non-technical users in B2B environments. Coordinate across multiple teams to deliver integrated solutions.

Develop and deploy AI features for a SaaS product, architect scalable backends, optimize vector databases, and manage Azure AI infrastructure.

The Software Engineer will shape AI governance in developer tooling, build product features, collaborate with teams, support users, and innovate rapidly.

The Senior AI Engineer will design, develop, and scale AI-powered tools to enhance software engineering workflows, focusing on Generative AI and LLMs.

The Senior AI Engineer will design, develop, and deploy AI-driven tools, enhance software engineering workflows, and collaborate cross-functionally to deliver AI solutions.

The Senior AI Engineer will design and implement AI-driven tools to enhance software engineering productivity, leveraging Generative AI and other modern frameworks.

The Head of Performance will lead performance marketing strategies, focusing on optimizing paid acquisition channels and utilizing AI tools for data-driven decisions.

The Product Manager - AI will define AI product direction, collaborate with engineering, and solve complex user problems in payroll and compliance workflows.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

Lead technical strategy for AI platform development at CaptivateIQ. Architect AI systems, set quality standards, and mentor engineers while collaborating with senior leadership.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.