Teams at DeepIntent

Develop and maintain manual and automated tests across UI, APIs, databases, and end-to-end workflows. Build test automation with Python, Playwright, pytest, and Robot Framework; integrate tests into Jenkins CI/CD pipelines; validate data integrity; investigate failures and defects; and collaborate with engineering, product, and DevOps teams. The role also supports testing AI/LLM features, including response quality, tool interactions, retrieval, and regression behavior.

Build and maintain full-stack features using React, TypeScript, Java, Spring Boot, REST, and GraphQL. Develop accessible interfaces, backend APIs, SQL queries, and data-processing workflows. Write tested code, review contributions, troubleshoot performance, validate AI-generated code, and collaborate with Product, UX, QA, and engineering teams in an Agile environment. Support production systems while applying data privacy and AI security practices.

Leads front-end architecture and development for complex data- and AI-driven applications. Owns UI scalability, performance, accessibility, monitoring, build pipelines, component libraries, and cross-browser compatibility. Establishes engineering standards, reviews code, mentors engineers, defines technical roadmaps, and collaborates across Product, UX, and Backend. Builds resilient interfaces for real-time and non-deterministic AI outputs, including streaming, loading states, fallbacks, and error handling.