Top Artificial Intelligence Jobs in Krakow

The Principal AI Engineer will architect reusable AI platform services, lead technical design reviews, ensure system reliability, and collaborate across teams to enhance AI frameworks and workflows.

Lead and develop a high-performing team focused on AI enablement capabilities, enhancing internal engineering processes, and aligning product development with organizational goals.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

The Unity Developer AI will research and integrate AI solutions in Unity projects, optimize UI, and work on gameplay mechanics and automation.

Design and develop levels for puzzle games, balance difficulty progression, and improve the level design editor to enhance workflow.

As a Senior Android Engineer, you will enhance the online car market experience, mentor developers, and drive project planning using advanced technologies like Kotlin and AI tools.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

Lead AI architecture and implementation for financial services clients: support business development, enable and manage engineering teams, design scalable LLM/multi-agent systems, ensure AI safety, compliance, and monitoring, and translate business needs into technical specifications.

The Principal SRE will architect core platform capabilities, transform CI/CD into validation systems, establish observability patterns, and ensure system reliability and efficiency.

The Tech Lead Engineering, AI is responsible for shipping features quickly while maintaining quality by leveraging AI tools for development. They collaborate with cross-functional teams, make technical decisions, and ensure robust product delivery from design to deployment.

The AI Backend Engineer will build AI systems to improve team collaboration, lead projects end-to-end, and develop LLM-based products. Responsibilities include experimentation, implementation, and aligning with stakeholders.

Chatdesk Experts provide support for e-commerce brands through social media and email, working remotely and setting their own schedules.

The AI Engineer will build AI-powered features, design RAG pipelines, integrate LLM APIs, develop backend services, and ensure system reliability.

Develop a highly optimized inference framework for AI networking. Work on innovative products in a dynamic environment with a focus on performance and scalability.

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

The Senior AI Engineer will design and develop advanced conversational systems, lead ML/NLP product development, collaborate across teams, and enhance automated workflows for recruiting.

The Director of AI Solutions will lead AI service offerings, driving revenue through solution strategy and delivery alignment, while mentoring teams and engaging clients.

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

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.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

The CRO Manager will optimize conversion rates through AI-driven experimentation and analysis, managing end-to-end CRO cycles and collaborating with engineering teams.

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.

Provide hands-on deployment, debugging, benchmarking, and optimization of large-scale AI training and inference workloads on NVIDIA GPU clusters. Work with customers and internal teams to identify bottlenecks, improve efficiency, and scale workloads reliably while contributing to resilience features for sovereign AI initiatives across Europe.

The AI Engineer will develop, deploy, and optimize AI solutions using Google's Gemini, working with machine learning models and data pipelines in a client-focused environment.