Top Artificial Intelligence Jobs in Krakow

The AI Product Owner translates business needs into agent-ready requirements, manages the product backlog, and ensures product delivery across various lifecycle stages, collaborating with engineering and architecture teams.

As a Golang Engineer, you will design, develop, and optimize distributed backend systems, focusing on performance, scalability, and P2P communication. You'll collaborate in an Agile environment and improve backend infrastructure while mentoring fellow engineers.

Lead the AIVM product development, overseeing architecture, strategy, and execution while collaborating across teams for successful platform launch.

Join a SaaS company as a Senior Python Engineer to build scalable Python services, integrate AI features, and collaborate with cross-functional teams.

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.

Train large language models to write code by reviewing code snippets and providing feedback for improvements. Requires 3+ years of Ruby experience.

As a Software Engineer in AI, you will train large language models, rank and review code snippets, and provide feedback for improvements.

The role involves training large language models to write production-grade code using Java, performing code reviews, refactoring, and providing detailed explanations for coding decisions.

Train large language models to write production-grade code across languages, review and improve AI-generated code, and maintain the RLHF feedback pipeline.

As a Rust Software Engineer, you'll train large language models to generate and refine code, compare snippets, and ensure quality through detailed code reviews.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

Seeking a Senior Software Engineer to build AI inference systems. Responsibilities include optimizing GPU kernels, architecting inference stacks, and defining benchmarking methodologies. Requires strong programming skills and experience in ML systems.

Lead the LLM team at EverAI, overseeing architecture and model deployment for AI companions, while ensuring user experience and safety in an explicit content environment.

As an AI Engineer, you will implement AI solutions using Azure OpenAI API, develop machine learning models, and collaborate with teams across industries including retail and healthcare.

The Sales Operations & AI Manager will oversee CRM systems and automations, optimize sales processes, and build AI workflows to enhance lead generation and data management.

The developer will create AI-powered web tools, manage serverless API integration, design interactive experiences, handle email pipelines, and ensure reliable data capture flows.

The role involves creating engaging video content, collaborating on concepts, editing videos, and using AI tools for production in the AI companionship space.

The Senior Solution Manager leads product strategy for AI solutions, oversees data migration initiatives, and collaborates with teams on AI architecture and product delivery.

The Director Analyst evaluates AI networking technologies, predicts market trends, communicates insights to clients, and collaborates to enhance account success.

Design and develop automation workflows using Power Automate and Power Apps, integrate APIs, build chatbots, and ensure SDLC best practices.

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

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

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.

The AI Transformation Lead drives AI strategy and implementation across departments, identifies automation opportunities, and fosters an AI-driven culture in the company.