Principal Engineer (AI)

Location: Remote, USA; full-time availability required with at least three hours of daily overlap with U.S. Pacific morning hours.

Company

Matrix is a global technology services and consulting company with over 17,000 employees, delivering software solutions, digital products, infrastructure, consulting, IT outsourcing, and implementation services across multiple industries.

What you will do

• Act as the CTO’s technical deputy and manage day-to-day engineering execution, including technical decisions, pull request reviews, approvals, developer support, and issue resolution.
• Contribute to architecture and system design for the next-generation platform, evaluating trade-offs across maintainability, reliability, performance, growth, and delivery speed.
• Design, build, debug, test, and maintain solutions across databases, backend services, frontend applications, cloud infrastructure, and DevOps.
• Establish AI-agent-assisted development practices covering implementation, debugging, investigation, testing, code review, infrastructure work, context management, verification, security, and code quality.
• Maintain engineering standards for automated testing, CI/CD, observability, operational reliability, documentation, and distributed ownership.
• Partner with the CTO, platform architect, engineering, product, and research stakeholders while communicating decisions, dependencies, risks, and trade-offs.

Requirements

• 10+ years of software engineering experience, including senior-level experience as a Senior, Staff, or Principal Engineer.
• Hands-on full-stack expertise across databases, backend development, frontend technologies, and cloud infrastructure or DevOps.
• Strong system design and architecture skills, with the ability to evaluate trade-offs and make pragmatic technical decisions.
• Experience building, debugging, testing, and maintaining production software across multiple technology layers.
• Demonstrated fluency with AI coding agents, using them regularly for software development and debugging across the stack.
• Ability to establish AI-agent engineering practices without compromising code quality, security, or reliability.
• Ability to work independently with ambiguous requirements, make routine technical decisions, identify escalation points, and take ownership through completion.
• Excellent written and verbal English communication skills, including proactive risk communication, clear documentation, mentoring, code reviews, and knowledge sharing.
• Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.

Nice to have

• Experience building LLM-powered applications, including retrieval-augmented generation, tool use, or agentic workflows.
• Experience establishing AI-assisted engineering standards or introducing AI development practices across a team.
• Experience with early-stage products, next-generation platforms, or greenfield engineering initiatives.
• Experience working closely with a CTO or other senior technical leader in a high-trust, fast-moving environment.

Culture & Benefits

• Full-time embedded role in a challenging and engaging engineering environment.
• Global organization with opportunities for career development, continuous learning, and growth.
• Collaborative, diverse, and inclusive workplace focused on innovation and excellence.
• Competitive compensation and benefits.
• Equal opportunity employer committed to a workplace free from discrimination and harassment.