Join our Selling Partner Trust - Agentic Ops Tech team in building next generations of global compliance product through the integration of software engineering fundamentals and latest generative AI technologies. You will work with an international team of product managers and stakeholders, tackling complex software architecture design challenges and building highly scalable AI-first to create safer, more intelligent marketplace experiences for both sellers and customers. Key Focus Areas: • Developing AI-powered systems for automated product safety assessment and compliance verification • Building intelligent catalog management solutions using natural language processing and computer vision • Creating generative AI tools to enhance seller safety and compliance processes • Designing scalable architectures that combine traditional services with AI/ML capabilities The Ideal Candidate Will Have: • Strong software engineering fundamentals and experience with distributed systems • Knowledge of machine learning frameworks and generative AI technologies (e.g., transformers, LLMs) • Experience with AI model deployment, optimization, and monitoring in production environments • Ability to tackle complex problems through data-driven experimentation What We Offer: • Opportunity to work with state-of-the-art AI technologies and shape their application in e-commerce • Exposure to global markets and diverse technical challenges • Full-stack development experience across AI and traditional systems • Collaboration with international teams of applied scientists, engineers, and product managers • Innovation-focused environment with emphasis on continuous learning and experimentation Key job responsibilities • Conceive, design, build, test, and own software systems that automate investigation and compliance workflows at scale. • Design and code the right solutions starting from broadly defined problems, driving the technical direction of your work. • Build scalable, fault-tolerant, low-cost distributed systems for storage, indexing, prediction, and query. • Integrate AI/ML and GenAI capabilities into production, with attention to deployment, optimization, and monitoring. • Troubleshoot and support what you build, and work in an agile environment to deliver high-quality software.