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Software delivery remains trapped in inertia. Backlogs accumulate, cycle times stretch into weeks, and "code review" frequently devolves into a formality designed to satisfy sprint commitments. Most engineering organizations contend with mounting integration risk, fragile system architectures, and ambiguous requirements. At the same time, AI coding agents demonstrate the capacity to produce viable code—but only when guided by explicit specifications and monitored with discipline. The industry continues to add more developers to keyboards rather than addressing the underlying system that transforms intention into dependable, production-ready software.
Trilogy has chosen a different approach. We operate an agent-driven development process from start to finish: engineers own research, specification, architecture, and quality assurance, while AI agents execute implementation. Specifications are authored to be machine-executable by Claude Code, designed test-first and narrowly scoped to contain integration risk. The outcome is continuous deployment of production features with significantly compressed feedback cycles, reduced integration surprises, and elevated confidence in correctness before any code reaches main.
This role is designed for the engineer who prefers to architect systems and validate correctness rather than process tickets. You will allocate approximately 10–20% of your time to research and technical exploration, understanding existing behavior, constraints, and stakeholder requirements; 40–50% translating that knowledge into precise, test-driven, agent-consumable specifications and architectural choices; and 40–50% directing and supervising implementation. You own what is delivered: no hidden failures, no vague specifications, no deflecting accountability to the agent.
You will work alongside a team that regards specification as a deliverable, review as an engineering practice, and delivery as the singular performance metric. If you are motivated by clean system architecture, precise scoping, and rigorous validation—and you already incorporate tools such as Claude Code, Cursor, Copilot, or ChatGPT into your regular workflow—this environment will suit you. Bring your architectural expertise, your test-driven development discipline, and your exacting standards for code quality. If this describes you, come lead the evolution of how software is built. Apply and demonstrate how you direct agents to produce production-grade results at scale.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.






It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
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