• Design and build full-stack systems that integrate frontend and backend seamlessly • Develop scalable APIs and backend services in TypeScript, Kotlin, and Go • Deploy and operate services in AWS and other cloud providers • Own problems end-to-end—from design through deployment to production support • Navigate ambiguity and help define how we build as much as what we build • Collaborate closely with teammates across the stack, including AI researchers, Security researchers and backend engineers

• Build LLM-powered software that actually works, by designing prompt flows and orchestrations that ensures great performance with no false positives. • Architect and build an AI-powered software stack that is production-grade, testable and maintainable. • Design and build experiments and evaluation frameworks for performance testing of the system at scale. Conduct data analysis to draw conclusions. • Collaborate with the rest of the AI team, with security experts, and both frontend and backend developers to create end-to-end systems that work and customers love. • Own projects end-to-end: from basic ideation and experimentation to deployment and production monitoring. • Continuously conduct research on how to harness the advancements in LLMs to make our system better and faster.

• Design, develop, and maintain scalable, secure backend services leveraging cloud infrastructure. • Architect and implement robust APIs for seamless integration with web and mobile clients. • Maintain and debug existing Node.js services, including legacy Hapi.js and modern AWS Lambda functions. • Handle production issues, ongoing bug fixes, and work with complex MySQL data models. • Support asynchronous, event-driven behavior to ensure system reliability • Enhance and optimize front-end web applications using modern JavaScript standards. • Partner with product, design, and brand stakeholders to provide accurate technical estimates and delivery schedules. • Maintain high code quality by adhering to industry-leading engineering best practices. • Streamline CI/CD pipelines to facilitate efficient, automated deployment processes. • Diagnose, troubleshoot, and optimize existing code within high-load, production environments.

• Oversee the end-to-end technical landscape of Strada Global Payroll clients • Collaborate closely with clients to understand their specific needs • Provide expert guidance and support in optimizing HR technology solutions • Stay updated on Strada products upgrades and best practices • Identify opportunities for innovation and improvement