• Ensure the technical and functional quality of product deliveries • Participate in the planning, execution and automation of functional, regression and exploratory tests • Validate integrations between APIs and microservices, ensuring test coverage and traceability of tests • Create and maintain backend automation scripts integrated into the CI/CD pipeline • Support the development team in identifying and preventing defects from early stages • Actively participate in code reviews and technical discussions focused on quality and performance • Conduct root cause analyses for recurring failures and propose improvement solutions • Support the evolution of quality and observability metrics (defects, coverage, execution time) • Collaborate with the team on prioritization and definition of acceptance criteria • Promote quality best practices and automated testing among team members

• Architect and build full stack data driven solutions • Work with cloud expertise including Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure • Collaborate in agile software development methodologies as part of a scrum team • Possibly take on multiple roles, such as Product Owner, Scrum Master, and Business Analyst • Participate in commercial implementations of tools like Cloudera, AWS Redis etc.

• Build and maintain an internal LLM gateway that handles routing, fallbacks, and rate limiting • Create reusable components for common AI patterns (RAG, function calling, streaming responses) • Develop SDKs or libraries that simplify AI integration for application developers • Implement prompt management systems and evaluation frameworks • Design and deploy vector database infrastructure for semantic search • Create monitoring dashboards for AI usage, costs, and performance metrics • Write technical documentation and best practice guides for AI implementation • Evaluate and integrate new AI services and models as they become available • Build testing frameworks for prompt regression and model output validation

• Design and develop iOS mobile applications and SDKs, ensuring high performance, quality, and responsiveness. • Create new, secure, and reliable features that enhance real-time data, video, and audio capabilities. • Implement modern iOS development design patterns to improve code maintainability and efficiency. • Propose and integrate innovative tools, frameworks, automations, and processes that enhance team productivity and code quality. • Collaborate with product management and UX teams to solve customer challenges by providing engineering solutions and trade-offs. • Participate in an agile development environment to deliver high-quality software solutions. • Refactor legacy codebases to improve maintainability and scalability, ensuring minimal disruption to ongoing development processes.