• Design, develop, and deploy AI-enabled solutions and components that enhance delivery capabilities and drive measurable business outcomes. • Build, test, and optimize machine learning models, data pipelines, and AI workflows to ensure performance, scalability, and reliability. • Collaborate with Tech Leads, product managers, and cross-functional stakeholders to translate business requirements into technical solutions. • Integrate AI models and data-driven capabilities into existing platforms, applications, and enterprise workflows. • Develop and maintain data pipelines to support efficient data ingestion, transformation, and feature engineering. • Apply best practices in model development, evaluation, and monitoring, including performance tuning and continuous improvement. • Ensure adherence to CT&I standards, approved technology stacks, and engineering practices across all development activities. • Implement appropriate controls for data security, privacy, and responsible AI usage within solutions. • Conduct unit testing, debugging, and troubleshooting to ensure high-quality and reliable solution delivery. • Contribute to documentation, including technical design, model behavior, and implementation details to support maintainability and reuse. • Support deployment, integration, and ongoing maintenance of AI solutions in production environments. • Stay current with emerging AI/ML technologies and contribute to innovation and continuous improvement within the pod.

• Planung, Architektur und Entwicklung von Shopify Apps, Plugins und API-Integrationen • Full-Stack-Entwicklung mit modernen Technologien im Frontend (React, Next.js) und Backend (Node.js, Express, TypeScript) • Anbindung von Drittanbieter-Systemen (ERP, Payment, CRM, Logistik etc.) über REST- und GraphQL-Schnittstellen • Sicherstellung von Performance, Code-Qualität und Skalierbarkeit • Umsetzung responsiver und zugänglicher UI-Komponenten • Durchführung von Code Reviews, Testing (Unit, Integration, E2E) und Debugging • Aufbau und Pflege von CI/CD-Pipelines sowie technische Dokumentation • Enge Zusammenarbeit mit Design, Product und QA, um Produkte von Grund auf zu gestalten • Mentoring jüngerer Entwickler:innen und aktive Mitgestaltung unserer technischen Roadmap

• Ship new features and improvements to ShareGate Migration Tool that users notice and value. • Partner with the Product Manager and Product Designer to translate customer needs into shipped solutions that solve real user problems. • Modernize the codebase so the application stays performant, maintainable, and aligned with current engineering standards. • Strengthen our test suites to catch regressions early and keep the product reliable as it scales. • Unblock the support team on complex technical issues so customers get to resolution faster.

• Lead the design and implementation of scalable, high-performance software systems for Generative AI applications. • Collaborate with data science team and other engineering teams to translate cutting-edge algorithms and models, including Large Language Models (LLMs), into production-ready software solutions. • Optimise algorithms and workflows to improve performance, efficiency, and scalability, leveraging LLMs where applicable. • Conduct code reviews, provide technical guidance, and mentor other engineers to ensure code quality and best practices. • Construct and maintain data pipelines, engage in data upkeep, and contribute to the training and automation of all aspects of the lifecycle of LLMs. • Stay updated on the latest advancements in AI research and technology, including developments in LLMs, and apply them to enhance our Generative AI engineering capabilities. • Contribute to architectural decisions and technical strategy to drive innovation and maintain competitive advantage, incorporating LLMs where suitable. • Research, develop, and implement cybersecurity measures to safeguard our Generative AI systems against potential threats, including those specific to Generative AI. • Collaborate with engineering team to assess risks, implement security best practices, and ensure compliance with industry standards and regulations, particularly in the context of LLM usage. • Own your work with autonomy, end to end: develop, test, deploy and monitor your changes. • Thrive in an environment that highly values trust.