Software delivery remains mired in inefficiency. Backlogs expand unchecked, cycle times stretch across weeks, and code review frequently devolves into perfunctory approval rituals designed to meet sprint deadlines. Most engineering organizations contend with integration failures, fragile system designs, and ambiguous requirements. At the same time, AI coding agents demonstrate the ability to produce viable code—but only when provided with unambiguous specifications and subjected to disciplined oversight. The prevailing response continues to be adding headcount rather than repairing the underlying processes that transform intention into dependable, production-ready software.
Trilogy has adopted a fundamentally different approach. We operate an end-to-end agentic development model: engineers own research, specification, architecture, and quality control, while AI agents execute implementation. Specifications are authored to be directly executable by Claude Code, built test-first, and carefully scoped to limit potential impact. This produces continuous deployment of production features with significantly compressed feedback cycles, reduced integration surprises, and elevated confidence in correctness before code reaches the main branch.
This position is designed for engineers who prioritize system design and correctness verification over task execution. You will allocate approximately 10–20% of your time to research and technical discovery—understanding existing behavior, constraints, and stakeholder requirements; 40–50% to translating that knowledge into precise, test-driven, agent-executable specifications and architectural choices; and 40–50% to orchestrating and supervising implementation. You own what ships: no silent failures, no vague specifications, no deflecting accountability to the agent.
You will become part of a team that regards specification as a deliverable product, review as an engineering practice, and delivery as the singular performance metric. If you find energy in elegant system architecture, surgical scoping, and rigorous validation—and you already incorporate tools like Claude Code, Cursor, Copilot, or ChatGPT into your standard workflow—this environment will suit you. Bring your architectural expertise, your test-driven development instincts, and your uncompromising standards for code quality. If this resonates, step forward and shape the future of software construction. Apply and demonstrate how you orchestrate agents to deliver production-quality outcomes 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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