67 English-speaking jobs in Białystok

Genesys specialist to design, configure, and enhance contact center solutions. Focus on routing, automation, and AI functionalities. Requires 5+ years Genesys Cloud experience, AI solution delivery, and Salesforce/Microsoft Teams integrations.

Support and develop an Azure-based data integration solution focused on Azure Data Factory (ADF). Design, develop, and maintain ADF pipelines, including orchestration, parameterization, and trigger management. Translate business requirements into technical solutions, collaborating with the Product Owner and Architect. Develop and maintain Python-based components and contribute to CI/CD processes in Azure DevOps.

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.

Lead the development and implementation of Machine Learning solutions, ensuring alignment with project objectives. Design AI solution architectures, research and select tools and technologies, and understand client needs. Architect and oversee data pipelines and workflows, coordinate with Data Engineering and Software Engineering teams.

Senior Data Engineer to work on projects involving automotive data, a global aerospace data platform, and a centralized reporting platform for a US telecommunications company. Responsibilities include developing and maintaining data processing platforms, designing data pipelines, and collaborating with cross-functional teams. Requires 5+ years of experience implementing Big Data systems, strong Python skills, and experience with technologies like Spark, Cloudera, Kafka, Airflow, NiFi, Docker, and Iceberg.

AI Engineer to develop scalable AI systems, including LLMs and GenAI. Build backend components using Python and frameworks like FastAPI. Experience with LLMs, Generative AI, and backend frameworks required.

Senior Data Engineer to support and develop an Azure-based data integration solution focused on Azure Data Factory and Databricks. Responsibilities include pipeline design, orchestration, monitoring, and continuous improvement. Requires strong hands-on experience with Azure Data Factory, Databricks, Python, SQL, and Azure DevOps.

Senior Cloud Architect to design, develop, and maintain cloud infrastructure for European charging infrastructure operations. Requires deep expertise in at least one major cloud platform (Azure or AWS), strong understanding of cloud networking, and experience with Infrastructure as Code, containerization, and cloud-native monitoring.

Senior Software Engineer with deep Kotlin expertise sought to design, deliver, and integrate AI-driven capabilities (LLMs, agentic systems) into large-scale, distributed systems.

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 Engineer to collaborate on new product implementation, design cloud applications on AWS, and integrate with company products and partners. Requires 3+ years of experience in software, DevOps, or infrastructure development, strong Python, Groovy, Bash skills, and experience with cloud infrastructure, containers, CI/CD tools, and IaC.

Configure and operate time-series database infrastructure, develop and optimize stream-processing pipelines, and automate build and deployment processes.

Senior DevOps CI/CD Pipeline Engineer to design, implement, and optimize GitLab Ultimate-based CI/CD environments. Responsibilities include defining DevOps workflows, enhancing IT security, and collaborating with development teams. Requires 5+ years of relevant experience, 2+ years with GitLab Ultimate, and expertise in Terraform, Ansible, Kubernetes, and cloud platforms.

Senior Full Stack Developer will develop and maintain customized software solutions for a European public sector client. Responsibilities include implementing software components, system integration and testing, and collaborating with teammates. Requires 6+ years of Java development experience and 3+ years of Angular front-end development experience.

Graphic Designer DTP needed for print and digital production. Requires proficiency in InDesign, Illustrator, Photoshop, Acrobat, and Figma. Must have strong attention to detail and knowledge of production standards.

Senior Product Owner with 5+ years of experience in software delivery, actively using AI tools in professional work beyond single-prompt usage. Must have a personalized AI workflow for BA/PO tasks and understand how LLMs and AI agents function. Strong writing, client-facing delivery, and Agile experience are required.

Senior Product Manager will own a product area end-to-end, defining problems and delivering measurable outcomes. Responsibilities include defining hypotheses, running experiments, and collaborating with engineering and design to build solutions. Experience in early-stage product development, data fluency, and a background in activation, growth, or behavior-driven products are required.