• Own features end to end, from design to implementation. • Design, implement, and modify existing GraphQL APIs (schemas, queries, mutations, and resolvers) using Apollo Server. • Design and evolve backend services, including data access and caching layers. • Modify and extend database schemas as needed using ORMs. • Build user interfaces using React and TypeScript. • Write and maintain unit tests. • Modify and add end-to-end tests using Cypress. • Participate in sprint planning, reviews, and retrospectives within a 2-week sprint cadence.

• Work closely with the product team, designers and QA at all stages of development • Participate in designing and discussing features with consideration for product and business requirements • Develop new product features and maintain and improve existing functionality • Implement and maintain A/B tests, and take part in their analysis and optimization • Optimize web application performance (loading speed, Core Web Vitals, UX) • Ensure high code quality, adhere to technical standards and best practices

• Design, implement, and evolve RAG pipelines combining structured data, embeddings, and LLMs. • Develop and maintain prompt strategies used across multi-step agent workflows. • Integrate LLMs into production systems with attention to reliability, cost, and latency. • Orchestrate AI-driven workflows across internal services and third-party APIs. • Define and improve practices for prompt versioning, evaluation, and iteration. • Work closely with platform engineers to ensure AI systems are maintainable and observable. • Help the team reason about when deeper customization or model-level work may be warranted in the future.

• Lead technical evaluation and integration across acquired engineering teams, establishing shared architecture, standards, and platforms while navigating legacy constraints toward a unified SaaS vision. • Foster a collaborative, high-trust engineering culture by defining shared practices, mentoring engineers, and enabling cross-team alignment through forums and working groups. • Provide architectural leadership for scalable, reliable SaaS systems across multi-cloud environments, and guide the responsible integration of AI into products, services, and internal tooling. • Drive modernization of CI/CD, observability, and release practices to improve developer productivity, quality, and speed across teams. • Act as a technical multiplier through architectural reviews, prototyping, and cross-functional collaboration, ensuring acquisitions strengthen and simplify the overall platform.