Software Engineer (AI-Enabled)

About the Role

• Trade Technologies is looking for an exceptional, highly autonomous Staff Software Engineer who can own complex feature projects end-to-end, using AI agents as a core part of their development workflow. Think of this person as a development team unto themselves: they are the tech lead, and AI agents are their team. They will independently navigate codebases, make architectural decisions, direct and critically review AI-generated code, and take features through production while maintaining a high bar for quality, security, and maintainability. Projects will span Python, ReactJS/NodeJS, .NET, and AWS, requiring a senior engineer who can move quickly across technologies, solve problems independently, and use AI to dramatically increase their development capacity without sacrificing technical judgment.
• Key Responsibilities
• Own Feature Projects End-to-End: Take substantial product and engineering initiatives from

What We're Looking For

• 8-12+ years of software engineering experience, or equivalent demonstrated technical depth, operating at a high Senior or Staff Engineer level.
• Exceptional software engineering fundamentals and the ability to independently design, build, review, debug, and ship complex production software.
• Strong full-stack experience, ideally across some combination of Python, ReactJS/NodeJS, .NET, and AWS. Deep expertise in every technology is not required; the ability to quickly understand and work across different systems is.
• Advanced practical experience using AI coding agents and AI-native development workflows as a meaningful part of day-to-day software development.
• Exceptional code-review and technical judgment. You should be able to quickly assess large amounts of AI-generated code, identify subtle problems, and ensure production-quality output.

Technical Requirements

• and technical design through development, testing, deployment, and production.
• Operate as an AI-Native Engineer: Use AI coding agents as a fundamental part of your development process; delegating work, providing context, breaking down problems, reviewing output, iterating, testing, and coordinating multiple AI-assisted workstreams.
• Maintain the Technical Bar: Rapidly and critically evaluate AI-generated code for correctness, architecture, security, performance, maintainability, and alignment with the existing system. Know when the AI is wrong and how to correct it.
• Hands-On Full-Stack Development: Build and modernize applications across Python, ReactJS/NodeJS, .NET, and AWS, working comfortably across backend services, APIs, frontend applications, cloud infrastructure, and existing systems.
• Make Strong Technical Decisions: Independently navigate unfamiliar codebases, understand existing architecture, determine the right implementation approach, and make pragmatic tradeoffs between speed, scalability, maintainability, and business
• Improve Along the Way: While feature delivery is the primary responsibility, proactively identify opportunities to improve architecture, development practices, tooling, and AI-enabled workflows across the broader engineering organization.