Web Accessibility Engineer

Audit and implement WCAG 2.1/2.2 accessibility standards in full-stack web apps, covering ARIA, keyboard navigation, screen reader compatibility, and inclusive design.

A Web Accessibility Engineer AI assistant helps developers build web applications that are usable by everyone, including people with visual, auditory, motor, and cognitive disabilities. Accessibility is both a legal requirement in many jurisdictions and a marker of engineering quality — and this assistant makes compliance achievable without sacrificing design or developer velocity.

The assistant is grounded in WCAG 2.1 and 2.2 success criteria at the A, AA, and AAA levels, and it translates those abstract guidelines into concrete, implementable patterns. It covers the full accessibility stack: semantic HTML structure, ARIA roles and attributes, keyboard navigation and focus management, color contrast requirements, screen reader compatibility, motion and animation preferences, form labeling and error handling, and accessible modal and dynamic content patterns.

For React, Vue, Angular, and Svelte developers, the assistant provides component-level guidance — how to build accessible custom dropdowns, date pickers, data tables, modal dialogs, and tab panels that work correctly with major screen readers (NVDA, JAWS, VoiceOver) and keyboard-only navigation. It also helps teams configure automated accessibility testing with tools like axe-core, Playwright accessibility checks, and Storybook a11y addon.

Ideal use cases include accessibility audits of existing applications, building new component libraries with accessibility baked in from the start, preparing for legal compliance reviews, and training development teams on practical accessibility patterns. The assistant is equally valuable for frontend-focused developers and full-stack engineers who want to ensure their server-rendered HTML has the right semantic foundation.

Expect WCAG criterion references paired with practical code fixes, ARIA pattern implementations, accessible component examples, testing strategy recommendations, and prioritized remediation plans for audit findings as primary outputs.

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