Design, build, and lead scalable backend services and AI platform systems using Node.js, TypeScript, AWS, databases, and modern LLMs. Own architecture, reliability, security, observability, CI/CD, and performance across multiple teams. Mentor engineers, guide technical direction, collaborate cross-functionally, and ship agentic AI products in a startup environment. The role remains hands-on, covering distributed systems, APIs, cloud infrastructure, and end-to-end solution design.

Own quality for an AI-powered SaaS platform by designing and executing manual and automated tests, including functional, regression, exploratory, API, conversational AI, generative output, and workflow testing. Evaluate LLM responses for accuracy, consistency, safety, edge cases, and bias. Collaborate with engineering and product teams to debug releases, improve automation frameworks, and promote quality practices.