Top Artificial Intelligence Jobs in Poland

Lead design and delivery of end-to-end ML/AI solutions: architect systems, implement and validate models, oversee data pipelines, coordinate cross-functional teams, mentor engineers, liaise with clients, and ensure timely Agile delivery.

Join Addepto to build production-ready AI systems and backends using Python and LLMs. Support development, deployment, and maintenance of GenAI solutions, transform prototypes into scalable services, ensure code quality, and work with cloud platforms (AWS/GCP/Azure).

Design and implement computer vision and machine learning algorithms from POC to prototype, build training pipelines and testing, run experiments, document results, lead research, and assist recruiting.

The Fullstack Engineer will build and maintain software applications using .NET/C# and T-SQL, develop front-end and back-end components, optimize databases, participate in Agile ceremonies, and provide technical support.

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

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.

The Tech Lead will guide engineering teams, define technical strategies, oversee delivery lifecycle, and enhance AI software solutions for document processing in financial services.

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

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.

Design and deliver LLM-driven, AWS-integrated .NET applications, build RAG and vector retrieval pipelines, implement MCP servers, orchestrate content-intake workflows, and collaborate across product and engineering teams to ensure scalable, secure AI solutions.

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.

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

Develop and deliver AI applications by integrating ML and generative models, collaborate on requirements, deploy and optimize AI solutions, and mentor junior engineers.

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

Build, operate, and maintain internal AI-driven automations (primarily in n8n) to connect tools, data, and LLMs. Ensure reliability, scalability, security, and usability while partnering with Product, Engineering, and business teams to reduce manual work and standardize best practices.

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.

Oversee global accounts payable functions, maintaining compliance, processing invoices, managing teams, implementing improvements, and ensuring accuracy in financial statements.

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.

Lead architecture and technical assessments for integration-heavy systems, design Node.js/TypeScript backend architectures, define safe AI-enabled development workflows, and contribute hands-on to implementation and delivery support.

As a Senior Embedded AI Engineer, you'll integrate Large Language Models into robotics, optimize AI models for embedded platforms, and work on simulations with real robots.

The AI/NLP/Data Engineer will develop ML and AI models, enhance NLP systems, and build supporting infrastructure while collaborating with teams on deployment and documentation.

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

Serve as strategic advisor to enterprise customers, qualify AI transformation opportunities, lead executive workshops, design use cases on Kore.ai, and build ROI-backed business cases to drive AI adoption and automation roadmaps.