The Staff Engineer role at AudioEye drives the technical direction of the platform, tackling complex challenges in digital accessibility. This position is responsible for designing and building large-scale, reliable systems that detect, remediate, and prevent accessibility issues across millions of websites, leveraging AI and agentic development as core components.

The role involves close collaboration with Product and Design teams to deliver systems that create measurable impact for customers and end users. The Staff Engineer mentors junior engineers, shapes the technical roadmap, and ensures systems are secure, scalable, and performant.

How You’ll Contribute:

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 with expertise 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 without lowering quality standards. Review, verify, and take accountability for outputs
Evaluate and adopt new AI development tools that measurably improve delivery
Mentor and coach engineers on requirements, system design, problem-solving, and practical AI-assisted development, including prompting, context management, and validating generated code
Help define team standards for responsible AI use across code review, testing, security, and data handling
Identify opportunities to integrate AI capabilities into products and internal tooling
Build a culture of quality, high standards, and engineering excellence

Who You Are:

10+ years of engineering experience with design, implementation, and operations of critical systems
Proven success in cross-functional environments, advocating for tight collaboration between engineering, user experience, and product teams, and making engineering and system-level decisions
Proficiency in modern JavaScript/TypeScript, including React and Node.js
Experience with relational, NoSQL, and document/object storage
Record of solving deep problems in distributed systems and real-time data technologies
Built and operated secure, compliant, scalable systems behind high-impact user experiences
Led large projects across multiple teams and mentored both junior and senior engineers
Collaborates tightly with Product and UX, comfortable making system-level tradeoffs
Hands-on fluency with AI-assisted and agentic development, with concrete examples of how it changed workflows and shipping processes
Sound judgment on where AI helps and where it adds risk, with discipline to validate generated code for correctness, security, and maintainability
Coached other engineers, including senior ones, to adopt AI-assisted workflows
Thrives on autonomy and ownership, adapting quickly to changes in tools and practices
Models good engineering behavior, practices, and processes