Senior Frontend Engineer

Relativity is a legal data intelligence company providing AI-powered cloud platform, RelativityOne, used by law firms, corporations, and government agencies for managing legal data with accuracy and trust.

Required:

• Advanced proficiency in JavaScript, TypeScript, React, and modern frontend architecture
• Strong understanding of software architecture, design patterns, system design, and distributed systems
• Experience building and maintaining design systems, reusable platforms, and shared engineering capabilities
• Strong knowledge of automated testing, CI/CD, and software quality practices
• Experience with AI-assisted software development tools and workflows
• Understanding of specification-driven development methodologies
• Excellent communication, collaboration, mentoring, and technical leadership skills
• Ability to influence technical direction across multiple teams and initiatives

Preferred:

• Experience contributing to internal platforms or developer productivity tooling
• Experience integrating AI capabilities into engineering workflows or products
• Experience working in scalable, multi-team frontend ecosystems

• Design and implement complex software solutions and platform capabilities
• Lead technical discussions and contribute to architectural decision making
• Develop and maintain shared frontend capabilities, reusable UI components, and design system assets
• Drive modernization initiatives and adoption of engineering best practices
• Mentor engineers and support technical growth across teams
• Improve application quality, maintainability, accessibility, security, and performance
• Partner with Product, UX, and Engineering stakeholders to deliver business value
• Identify and address technical debt, scalability challenges, and platform opportunities
• Drive adoption of AI-assisted software development practices across engineering teams
• Create and maintain structured technical specifications for specification-driven development workflows
• Use AI tools for planning, implementation, testing, documentation, code reviews, and knowledge sharing
• Establish best practices for integrating AI capabilities into the software development lifecycle
• Evaluate, validate, and govern AI-generated solutions to ensure compliance with architectural, security, and quality standards
• Promote reusable engineering patterns that improve delivery speed without sacrificing maintainability or reliability
• Design, develop, and maintain internal AI-powered engineering tools to improve frontend development productivity
• Contribute to platforms enabling generation of applications, components, tests, and documentation from structured specifications
• Collaborate with UX, Product, and Engineering teams to develop AI-driven solutions supporting consistency and velocity
• Build reusable AI capabilities to improve engineering efficiency and reduce implementation overhead
• Influence the organization’s AI strategy by identifying opportunities to improve developer experience and software delivery