728 English-speaking jobs in Łódź

Lead and manage project teams on client engagements, acting as a trusted advisor to senior executives on data and AI strategies. Define advanced analytics and AI strategies, including GenAI and Agentic AI, aligned with enterprise ambitions. Design and operationalize Responsible AI frameworks, covering ethics, transparency, and AI risk management.

Senior DevOps/platform engineer to own deployment, reliability, and observability of Voice AI product. Build and maintain infrastructure, CI/CD, and environments. Improve operational quality through automation, documentation, and better defaults. Strong cloud, infrastructure, and AI experience required.

Senior Fullstack Engineer will own and deliver quarterly goals, lead engineers, and collaborate with product management, design, and analytics to build scalable solutions for purchase protection, disputes, and refunds.

Senior Software Engineer will lead a team responsible for managing critical communication services, including email, SMS, and push notifications. Responsibilities include delivering quarterly goals, collaborating with product management and design, and ensuring the availability and quality of communication services. Requires 5+ years of experience designing, developing, and launching backend systems at scale using languages like Python or Kotlin.

Senior Software Engineer will design, implement, and maintain backend services and APIs using Python or Kotlin within Affirm's microservice and event-driven architecture. Collaborate with stakeholders across North America and Europe to build scalable fraud tooling and infrastructure.

Lead and design a globally distributed AI inference platform with OpenAI-compatible endpoints. Architect and design the core infrastructure of Akamai Inference Cloud, ensuring it is performant, compliant, economical, and explainable. Provide thought leadership on AI inference optimization, model serving architectures, and establishing technical standards for the platform.

Senior AI Engineer will design and scale resilient AI solutions for a high-load fintech environment. Responsibilities include leading architectural reviews, establishing LLMOps and FinOps standards, and mentoring engineers. Requires 5+ years of experience in architecting and deploying production-grade AI/ML solutions, deep hands-on expertise with LLM orchestration and data frameworks, and strong MLOps and LLMOps pipeline experience.

Designs, develops, and maintains the CI/CD platform based on GitLab. Builds and optimizes GitLab CI/CD pipelines, manages GitLab Runner infrastructure, and automates release processes.

Senior Software Engineer to architect, design, and develop model-based applications for AI software solutions. Lead technical design and collaborate with teams to ensure alignment with Engineering policies. Minimum 2 years SaaS product delivery experience and 5 years software development experience required. Proficiency in Java, Python, or C# and experience with DevOps platforms like GitHub, Azure DevOps, GitLab, or Jenkins.

Lead the design and implementation of scalable cloud solutions, defining cloud-native architecture standards and collaborating with cross-functional teams. Mentor engineers, evaluate emerging technologies, and ensure security, scalability, and reliability of cloud systems.

Senior Director of Engineering to lead multiple engineering teams responsible for SaaS products and core platform capabilities. Drive product development, talent acquisition, and site leadership in Poland. Requires 15+ years of engineering experience, including senior leadership roles in SaaS or global product companies.

The Manager, Software Engineering leads a team of software engineers to deliver high-quality products on time. They drive project execution, manage dependencies, and communicate progress to leadership. The role requires experience managing software product development teams, a strong understanding of software engineering principles, and the ability to foster innovation and continuous improvement.

Lead a team of data platform engineers in designing and maintaining data platforms integrating lakehouse technologies, distributed compute frameworks, and cloud-native services. Drive architectural decisions, mentor engineers, and ensure delivery of secure, reliable, and scalable solutions.

Senior Data Platform Engineer will design and implement scalable data pipelines using Spark and Python to process large datasets. Responsibilities include developing lakehouse capabilities with Delta Lake and Iceberg, integrating data warehousing solutions, and ensuring secure and compliant data access. Requires strong Python and SQL skills, experience with Apache Spark, Delta Lake, and dbt, and familiarity with Databricks and Snowflake.

Design, develop, and operate secure, scalable AI systems using object-oriented principles and cloud-native patterns. Build and deploy intelligent AI agents capable of autonomous reasoning and task execution. Integrate AI orchestration frameworks and utilize Azure AI services to create scalable AI-enabled applications. Collaborate with cross-functional teams to design interfaces and protocols for AI-agent collaboration.

Senior Software Engineer will implement and maintain reliability solutions, focusing on automation, operational excellence, and collaboration with engineering teams to ensure system availability and efficiency.

Senior DevOps Engineer will design, implement, and maintain a scalable, secure, and resilient cloud platform using Azure. Responsibilities include administering CI/CD systems, managing infrastructure as code, and ensuring test environments are optimized. Must have experience with Azure DevOps, Terraform, Kubernetes, and scripting languages.

SAP Consultant required for Business Engagement Consultant role. Provides consultation on digital solutions based on knowledge of business processes. Supports, guides, and coordinates the delivery of HR IT solutions. Conducts trainings and handles interfaces between HR systems.

Design and build an AI Operating System for a company of 100 people. Develop custom tools and integrations with AI model APIs (Claude, GPT-4o, Gemini). Establish AI governance rules and design cross-disciplinary workflows.

Data Architect to build a next-generation cloud data and AI platform on AWS. Define and evolve the end-to-end data platform architecture, including ingestion, lakehouse/warehouse, orchestration, governance, and AI enablement.