Top Artificial Intelligence Jobs in Poland

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.

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.

Lead a remote team of senior full-stack engineers to build, ship, and optimize scalable web applications using Next.js, React, TypeScript, Prisma, and PostgreSQL. Architect systems, design schemas, integrate third-party APIs (Stripe, Supabase, music platforms), establish engineering best practices, and accelerate delivery with Cursor IDE and AI coding assistants. Own projects end-to-end and mentor developers to drive engineering excellence.

Research and develop methods for large language models, build infrastructure for AI training and evaluation, and collaborate cross-functionally.

The role involves developing automated testing infrastructure, collaborating with teams on test scenarios, and ensuring the quality of AI systems with a focus on functional and performance testing.

Lead the AI Platform engineering group, drive AI adoption, manage delivery processes, oversee agile teams, and foster a strong engineering culture.

The Senior Software Engineer focuses on integrating advanced AI features, maintaining applications, contributing to agile development, and collaborating across teams.

As a Senior Engineer in AI Enablement, you'll modernise legacy services and build AI-powered infrastructure in a collaborative team environment.

The AI-Native Engineer will build AI-powered infrastructure for VC and PE clients, focusing on production AI systems and client-facing applications.

As a Summer Trainee, you will evaluate AI tools, support AI-assisted testing, create test plans, maintain test scripts, and collaborate with teams.

The AI Engineer will design and implement AI/ML pipelines, work on GenAI applications, and improve telecom network operations through intelligent automation and predictive insights.