146 English-speaking jobs in Podlaskie Voivodeship

Data Scientist / ML Engineer will design, implement, and validate Machine Learning solutions. Responsibilities include understanding client needs, translating business problems into data science problems, and developing scalable AI solution architectures. Requires 3+ years of experience designing and implementing scalable AI solutions, proficiency in Python and ML libraries, and experience deploying solutions in cloud environments (AWS or Azure).

As a Pre-Sales Engineer, you will act as a technical advisor, helping clients understand the value of AI and data platforms and aligning solutions with their business goals. You will design solution architectures, create technical proofs of concept, and collaborate with sales, delivery, and engineering teams.

Senior AI Engineer will develop scalable AI systems, including LLMs and Generative AI, using Python and frameworks like FastAPI. Experience with backend frameworks, databases, Docker, Git, and cloud environments is required.

AI Engineer needed to develop scalable AI systems, including LLMs and Generative AI. Experience with Python, LLMs, backend frameworks, and cloud environments required.

Full-stack developer for a cyber insurance platform. React frontend, NestJS backend, PostgreSQL, Redis. Experience with AI development tools required. Must be available for evening standups and meetings (19:00-21:00 Polish time). Fluent English required.

Full Stack Developer for a cyber insurance platform. React.js frontend, NestJS backend, PostgreSQL, Redis. Experience with AI development tools required. Must be available for evening standups and meetings (19:00-21:00 Polish time). Fluent English required.

Full Stack Engineer to build and ship features for a cyber insurance platform. Responsibilities include React frontend, NestJS backend, PostgreSQL, Redis, and integrating with 15+ external services. Must be fluent in English, comfortable working late Polish hours, and have experience with AI development tools.

Fullstack Developer for a cyber insurance platform. Build and ship features using React, NestJS, PostgreSQL, and Redis. Integrate with 15+ external services and utilize AI tools for development. Must be available for evening standups and planning sessions (19:00–21:00 and 23:00 Polish time).

Senior Salesforce Engineer to drive the evolution of our digital ecosystem and mentor a team. Shape the technical roadmap, improve platform performance and scalability, and lead the evaluation of new technologies.

Senior Salesforce Engineer to drive the evolution of our digital ecosystem and mentor a team. Lead the evaluation and proof-of-concept for new technologies, establish software engineering best practices, and deliver new products. Oversee our core CRM platform (Salesforce), ensuring its optimal performance and planning its integration with future systems.

Senior Data Engineer to design, develop, and maintain Azure Data Factory pipelines, including orchestration, monitoring, and optimization. Experience with Databricks, Python, SQL, and ETL/ELT processes required.

Junior Data Engineer will design and develop data processing pipelines for streaming and batch data using technologies like Databricks, Airflow, and Dagster. Responsibilities include collaborating with the Data Science team on Machine Learning projects, developing data transformations, and translating business requirements into technical solutions.

Senior AI Engineer will lead XTB's LLMOps and Agentic strategy, ensuring secure and reliable AI experiences for investors. Responsibilities include architecting AI solutions, establishing LLMOps standards, and collaborating with data and product teams. Requires 5+ years of experience in deploying production-grade AI/ML solutions, expertise in LLM orchestration and data frameworks, and proficiency in building APIs and semantic layers.

Staff Infrastructure Engineer will design and scale the platform's core infrastructure, ensuring it can handle massive data volumes. Responsibilities include defining and evolving infrastructure architecture, leading SRE practices, designing a self-service platform, and partnering with security and compliance teams. Requires deep experience with cloud platforms (Azure preferred), containers and orchestration, IaC, CI/CD, observability, security, and networking.

Senior BI Engineer will design, modify, and maintain Power BI reports in an Azure DevOps environment. Responsibilities include optimizing semantic models and DAX queries, developing lakehouse infrastructure in Databricks/DBT, and preparing SQL scripts for ad-hoc analysis. The role requires 5+ years of experience in Business Intelligence, data visualization, and analytics, strong Power BI skills (DAX, DAX Studio, Tabular Editor), and experience with cloud environments (Databricks, Azure).

Leads a 10-person, multidisciplinary team responsible for the full software development lifecycle. Collaborates with the Product Manager to plan and coordinate work, ensuring high team efficiency and code quality. Provides hands-on support to the team and mentors developers. Requires senior-level programming experience, experience as a team manager, and practical experience with at least one AI coding tool.

Lead a high-performing software engineering team within a cloud-native ecosystem. Drive delivery standards, optimize workflows, and scale team capabilities. Tech stack: .NET, Playwright, Storybook, Tailwind, Azure.

Lead a high-performing software engineering team within a cloud-native ecosystem. Contribute to the fullstack codebase while managing team delivery, resource allocation, and performance. Foster a culture of continuous improvement and excellence.

Lead a high-performing software engineering team within a cloud-native ecosystem. Drive delivery standards, optimize workflows, and scale team capabilities. Tech stack: .NET, Playwright, Storybook, Tailwind, Azure.

Senior Engineer will architect and develop a production-grade web application using React, TypeScript, and TanStack for conversational data exploration. Responsibilities include designing and implementing "chat with your data" features using LLMs, building LLM orchestration layers, and developing API services.