Posted:3 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Optimize and scale our existing React component platform for AI agent interfaces. You'll enhance our established component library and integration systems to improve performance, developer experience, and deployment velocity for AI-powered products.

Responsibilities

  • Optimize the existing component platform for better performance, reusability, and maintainability across AI agent interfaces.
  • Enhance integration systems between React components and Python backend APIs through our current wrapper architecture.
  • Streamline deployment pipelines to accelerate time-to-production for new AI agent features.
  • Refactor platform components for better scalability and consistency across different AI use cases.
  • Improve developer tooling around our component system (documentation, dev tools, automated testing).
  • Identify and resolve bottlenecks in current component development and deployment workflows.
  • Implement performance optimizations (bundle optimization, caching strategies, lazy loading).
  • Standardize integration patterns for AI output rendering and user interaction flows.

Requirements

  • 3+ years of React with a focus on platform optimization and existing codebase improvement.
  • Strong experience enhancing component libraries and front-end infrastructure.
  • API integration, optimization, and performance tuning.
  • Experience with deployment pipeline improvements and CI/CD optimization.
  • Ability to analyze and improve existing architectures rather than build from scratch.
  • TypeScript proficiency for maintainable, scalable code.
  • Understanding of modern front-end tooling and build systems.

Bonus Skills

  • Experience with AI/ML product interfaces or conversational UI patterns.
  • Knowledge of agent output rendering and dynamic component systems.
  • Previous work optimizing developer-facing platforms or tools.
  • Familiarity with micro-front-end architectures.
This job was posted by Tiasha Guchhait from Xempla.

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