Top Artificial Intelligence Jobs in Poland

The Engagement Manager leads AI-driven initiatives, coordinating client engagements, overseeing implementations, and ensuring successful onboarding of AI solutions across diverse environments.

As a Software Engineer, you will develop AI workflows and automation solutions, integrate enterprise data, and create reusable templates to accelerate application development. You will also build Proof-of-Value applications and provide guidance to teams on a modern AI platform.

The Principal Product Designer will drive product design strategy, mentor other designers, and lead complex design initiatives while ensuring high-quality, user-centered design practices.

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

Own full sales cycle to acquire and expand enterprise customers for AI infrastructure. Develop territory sales plans, engage C-level stakeholders, collaborate with sales engineering, draft SOWs, negotiate contracts, and close complex deals.

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 Junior Content & Growth Specialist will support content creation using AI, produce engaging videos, optimize content for SEO, and enhance the website's structure.

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.

The AI Playable Ads Developer will create interactive ads, optimizing them for user experience while collaborating with various teams to enhance AI-based tools.

Lead end-to-end delivery for a product area, manage 2-3 agile teams, coordinate with Product and Architecture, own capacity planning, line-manage engineers, and drive engineering culture, metrics, and continuous improvement.

The Senior CyberSecurity AI Engineer will design, deploy, and support endpoint security solutions, leveraging AI/ML for threat detection and organizational collaboration.

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 Commercial AI Solutions Analyst will collaborate with teams to implement AI initiatives and ensure data quality for business insights. Responsibilities include data validation, user acceptance testing, and promoting AI literacy within sales.

The role involves managing AI projects to enhance customer service and sales, ensuring effective communication among stakeholders and delivering measurable business value through AI solutions.

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.

As a Senior AI Engineer, you will develop and optimize AI-driven solutions, focusing on multi-agent systems, LLM-based applications, and AI automation. Your role includes building applications, integrating models into cloud solutions, and conducting research on new AI tools.

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.

Conduct applied AI/ML research to solve home design challenges, work with raw data, test hypotheses, and build prototypes/MVP solutions.

Lead moderate-to-high complexity digital transformation projects with AI integration: plan, execute, manage scope/schedule/budget/risks, coordinate remote teams, run PoCs for AI tools, ensure quality, mentor staff, and support pre-sales and client relationships.

Design and implement full-stack applications and AI agents. Collaborate with teams to deliver customer-focused solutions while ensuring secure and reliable development practices.