167 English-speaking jobs in Białystok

DocuWare Workflow Specialist needed to design, configure, and maintain workflows, focusing on finance processes. Requires 5+ years of DocuWare experience, including Workflow Designer, and strong understanding of ECM/DMS solutions and compliance requirements.

Senior Engineer to collaborate on new product implementation, designing cloud applications on AWS, integrating with company products and partners. Requires 3+ years of software development experience with Python, Groovy, Bash, and cloud infrastructure (AWS, Azure, or Google Cloud). Experience with containers, CI/CD tools, and AI-based automations is essential.

Senior Product Manager will oversee AI-first developer experience, including AI-assisted development, agentic workflows, and automated operations. Responsibilities include crafting product strategy, understanding engineering and customer needs, and leading product development from inception to delivery. Must have experience in software development lifecycle, agile methodologies, and data analysis.

Participate in paid online and in-person market research studies. Complete surveys, focus groups, and provide product feedback. Must have a working camera, reliable internet, and the ability to follow instructions.

Senior Electronic Design Engineer to lead hardware development, including specification, design, documentation, and verification of electronic circuits. Requires 5+ years experience in analog/digital electronics, power systems, and sensor integration. Proficiency in Altium, C programming, and EMC/EMI principles is essential.

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.

We are looking for an IAM Specialist with hands‑on experience in SailPoint IdentityIQ to support and enhance identity and access management processes. The role combines operational responsibilities with technical exposure, including incident handling, identity data processing, and workflow support within the IdentityIQ platform.

Lead the design and implementation of a global AI strategy for ERP (IFS Cloud) implementation projects and the entire organization. Develop AI use cases, establish AI governance, and integrate AI tools across all company functions.

AI Solution Architect will design end-to-end AI architectures, evaluate AI frameworks and tools, and support the development and deployment of AI solutions.

As a Solution Engineer, you will act as a technical advisor during pre-sales engagements, helping clients understand AI/ML and data platform solutions. You will design solution architectures, create technical proofs of concept, and collaborate with sales, delivery, and engineering teams.

Software testing professional with 4+ years of experience, including 2+ years specializing in Tricentis Tosca Test Automation. Experience with Tosca XScan, TestCase Design, reusable test modules, risk-based testing, and SQL. Strong English communication skills required.

Design, develop, and maintain finance automation solutions using Redwood or comparable platforms. Build and integrate system interfaces across financial and enterprise systems.

Senior Electronic Design Engineer to spearhead and participate in the specification, design, development, and verification of innovative electronic hardware. Requires a minimum of five years of experience in a similar role, proficiency in Altium, C programming, and strong understanding of EMC/EMI principles.

Data Engineer needed to build and optimize data pipelines for financial sector clients. Requires 3+ years of experience in data engineering, ETL/ELT processes, and data warehousing. Proficiency in SQL, Python/Java/Scala/R, and experience with Snowflake or Databricks is essential.

Genesys specialist to design, configure, and improve contact center solutions. Focus on call flows, routing, automation, and AI functionalities. Experience with Genesys Cloud, AI bots, and integrations (Salesforce, Microsoft Teams) required.

Lead the design and implementation of Machine Learning solutions, ensuring alignment with project objectives. Research, test, and select tools and technologies to meet business requirements. Understand client needs and translate business problems into data science problems. Architect and oversee the implementation of data pipelines and workflows. Present findings and recommendations to stakeholders.

AI Engineer with 3+ years of Python experience sought to develop scalable AI systems, including LLMs and GenAI. Responsibilities include transforming Data Science prototypes into production-ready solutions, building backend components, and ensuring code quality. Experience with backend frameworks (e.g., FastAPI), databases, Docker, Git, and cloud environments (AWS, GCP, Azure) is required. Optional experience with frontend frameworks and Data Science/Machine Learning is a plus.

AI Engineer needed for projects involving LLMs, Generative AI, and backend development. Requires 3+ years of Python experience, strong OOP design skills, and experience with Docker, Git, and CI/CD. Familiarity with frontend frameworks is a plus.

Senior Data Engineer to work on automotive, aerospace, and telecommunications projects. Responsibilities include developing and maintaining data processing platforms, designing data pipelines, and optimizing data workflows using technologies such as Spark, Cloudera, Airflow, Iceberg, and AWS. Requires 5+ years of experience implementing Big Data systems, strong Python programming skills, and experience with cloud environments.

Lead the design, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives. Research, test, and select tools and technologies to meet business requirements. Understand client needs and translate business problems into data science problems. Architect and oversee the implementation of data pipelines and workflows. Coordinate with Data Engineering and Software Engineering teams. Present findings and recommendations to stakeholders.