Staff Software Engineer

AudioEye is hiring a Staff Engineer to guide the technical direction of its digital accessibility platform. The role designs and builds scalable, reliable systems that detect, remediate, and prevent accessibility issues, while providing hands-on technical leadership and using AI-assisted development practices.

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 keeping reliability, security, and data consistency high
• Build web-scale systems with strong grounding in service-oriented architecture, data modeling, performance, and end-to-end delivery
• Understand customer and end-user needs and turn 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 the quality bar. Delegate to agents, then review, verify, and take accountability for the output
• 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 knowing when not to trust the output
• Help define team standards for responsible AI use across code review, testing, security, and data handling
• Find opportunities to build AI capabilities into our products and internal tooling
• Build a culture of quality, high standards, and engineering excellence

Requirements:

• 10+ years of engineering experience with design, implementation, and operations of critical systems
• Demonstrated success working in cross-functional environments, advocate for tight collaboration between engineering, user experience, and product teams, and are comfortable making engineering and system-level decisions and tradeoffs
• Proficiency in modern JavaScript/TypeScript, including React and Node.js
• Experienced with relational, NoSQL, and document/object storage
• Proven 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
• Collaborate tightly with Product and UX, and are comfortable making system-level tradeoffs
• Hands-on fluency with AI-assisted and agentic development, with concrete examples of how it changed how you build and ship
• Sound judgment on where AI helps and where it adds risk, and the discipline to validate generated code for correctness, security, and maintainability
• Have coached other engineers, including senior ones, to adopt AI-assisted workflows
• Thrive on autonomy and ownership, and adapt quickly as tools and practices change
• Model good engineering behavior, practices, and processes