Top Artificial Intelligence Jobs in Poland

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

As a Full-Stack Developer, you will build and scale AI products using Next.js and NestJS, manage backend services, integrate APIs, and collaborate with teams to deliver features efficiently.

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

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

Create and edit short-form vertical videos for social media using AI tools, ensuring quality, character consistency, and appropriate syncing of audio elements.

Develop and maintain LLM-powered applications using Python, focusing on coding optimizations, CI/CD pipelines, and cloud infrastructure on GCP.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

The AI Engineer will design, develop, and operationalize Generative AI solutions, ensuring they meet business value, reliability, and scalability needs, while mentoring team members and collaborating across businesses.

As an AI Engineer (GCP), you'll develop and implement AI solutions, lead teams, design architectures, and optimize AI workloads, focusing on LLM usage data.

As an AI Research Engineer, you will develop multi-modal reinforcement learning systems, focusing on optimization across data modalities, conducting research on algorithms, and building infrastructure for scalable training and evaluation.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

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

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you will optimize model serving and inference architectures, focusing on high-performance, resource-efficient solutions for AI systems across various deployment environments.

The AI Product Manager will identify AI solutions, manage product roadmaps, collaborate with teams, implement GTM strategies, and drive product adoption.

As an AI Architect, you will develop enterprise AI architectures, implement machine learning pipelines, ensure compliance with regulations, and guide development teams in AI solutions.

The AI Transformation Lead will solve business challenges using AI tools, prioritize cases, monitor metrics, and foster a community for AI solutions.

Lead design and deployment of AI applications, manage system architecture, implement generative AI, optimize models, and integrate AI into products at Fluxon.

The AI Engineer will integrate AI techniques into robotics, work with simulations, enhance AI models, and collaborate with various teams.

Develop and enhance AI-driven solutions using machine learning in Palantir Foundry, collaborate on workflows, and support model deployment.

Design, build, and operate production-grade AI applications in the supply chain and finance area, focusing on LLM integration, API development, and AI system safety and reliability.

Design and build workflows using node-based AI systems for video and image generation. Collaborate with teams to enhance AI-driven processes and create demos for various stakeholders.

The AI Implementation Specialist will design, build, and deploy AI-powered systems for B2B clients, focusing on automation and scalability across sales and operations.