About The Position

AudioEye is seeking a Staff Engineer to help drive the technical direction of its platform and address complex challenges in digital accessibility. The role designs and builds large-scale, reliable systems that detect, remediate, and prevent accessibility issues across millions of websites, using AI and agentic development as a core part of the work. It combines architecture, hands-on development, and technical leadership to ensure systems are secure, scalable, and performant. The Staff Engineer collaborates closely with Product and Design to deliver systems with measurable impact for customers and end users. The role mentors engineers, shapes the technical roadmap, and makes decisions that balance near-term delivery with long-term sustainability. It calls for strong ownership, autonomy, and a focus on solving meaningful technical problems at scale.

Requirements

  • 10+ years of engineering experience designing, implementing, and operating critical systems.
  • Demonstrated success in cross-functional environments, advocating close collaboration among engineering, user experience, and product teams, and making engineering and system-level decisions and tradeoffs.
  • Proficiency in modern JavaScript/TypeScript, including React and Node.js.
  • Experience with relational, NoSQL, and document/object storage.
  • A proven record of solving complex problems in distributed systems and real-time data technologies.
  • Experience building and operating secure, compliant, scalable systems behind high-impact user experiences.
  • Experience leading large projects across multiple teams and mentoring junior and senior engineers.
  • Close collaboration with Product and UX, and comfort making system-level tradeoffs.
  • Hands-on fluency with AI-assisted and agentic development, with concrete examples of how it changed the way you build and ship.
  • Sound judgment about where AI helps and where it adds risk, and discipline in validating generated code for correctness, security, and maintainability.
  • Experience coaching other engineers, including senior engineers, to adopt AI-assisted workflows.
  • Ability to thrive with autonomy and ownership and adapt quickly as tools and practices change.
  • Models good engineering behavior, practices, and processes.

Responsibilities

  • Technically lead one or more engineering teams through needs assessment, system design, implementation, and operations automation.
  • Drive the technical roadmap, balancing short-term delivery with long-term sustainability.
  • Partner with Product, Design, and engineers to build systems that help customers respond quickly to risk while maintaining reliability, security, and data consistency.
  • Build web-scale systems grounded in service-oriented architecture, data modeling, performance, and end-to-end delivery.
  • Understand customer and end-user needs and translate them into measurable value.
  • Own problems across stacks, teams, and roles, with a bias for action.
  • Use AI coding assistants and agentic workflows daily to design, build, test, and operate software; delegate to agents, review and verify their output, and take accountability for it.
  • Evaluate new AI development tools and adopt those that measurably improve delivery.
  • Mentor and coach engineers on requirements, system design, problem-solving, and practical AI-assisted development, including prompting, context management, and assessing when to distrust output.
  • Help define team standards for responsible AI use in code review, testing, security, and data handling.
  • Identify opportunities to add AI capabilities to products and internal tooling.
  • Build a culture of quality, high standards, and engineering excellence.

Benefits

  • Competitive compensation and equity
  • Weekly paid family meal
  • 401k
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Flexible PTO policy
  • 15.5 company-paid holidays, including Juneteenth, MLK Day, and a one-week company shutdown
  • One-time $300 stipend to support remote work conditions
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