• Build systems to add features across our Network API Platform • Create scalable microservices that will help support our impressive growth • Write efficient and scalable code, in well-tested systems • Develop on a public cloud infrastructure

• Lead the design and development of new solutions using Generative Artificial Intelligence (LLMs) to enhance the shopping experience and management workflows for our customers; • Integrate and orchestrate AI APIs (such as OpenAI, Anthropic, Gemini, etc.) within our microservices-based architecture; • Apply advanced AI techniques such as prompt engineering, RAG (Retrieval-Augmented Generation) and fine-tuning, ensuring responses are accurate and high-performing; • Actively research and propose innovative solutions that use AI to solve real pain points for merchants and end consumers; • Ensure scalability, security and cost optimization of integrations with language models; • Perform code reviews, refactorings and promote AI development culture and best practices across the team; • Develop unit and integration tests focused on the reliability of AI responses.

• Participate in multidisciplinary teams (Product Manager, QA, and Developers), developing secure solutions with quality and performance. • Build solutions together with the development team, providing and receiving constant feedback to contribute to the team’s growth and the delivery of objectives. • Assist team members in developing technical knowledge, processes, and business rules. • Assist and provide guidance on software architecture and in planning and refining activities.

• Develop and maintain distributed, high-availability applications using Python • Build and evolve APIs with FastAPI, Flask and Uvicorn • Integrate solutions with machine learning models using TensorFlow, PyTorch and OpenCV • Work on integration with relational and vector databases (PostgreSQL) • Operate in Cloud Native environments using containers and Docker • Manage code versioning using Git Flow, handling branches for development, QA and production • Support deployment processes and code promotion in Azure pipelines (CI/CD) • Create and manage branches for change management (GMUD) and production releases • Expose and manage backend routes via API Management (APIM)