Staff Agentic Engineer

Staff Agentic Engineer About the Role We are transforming how 50+ engineers build software -- shifting from traditional development toward agent-directed workflows where engineers specify, verify, and direct rather than write every line. This is underway, not planned. This role is hands-on. You build with agentic AI every day, and you help other engineers do the same. You work alongside squads, pair with engineers, and demonstrate through your own work what effective agent-directed development looks like in practice. The E4 bar is about maturity and reach -- operating across teams, not just your own. What You'll Do Build - Develop features and tools using agentic AI -- agents, tool calling, multi-step workflows -- as your primary development mode - Write specifications precise enough for agents to build from, and verify the output against them - Contribute to the shared context infrastructure that makes AI output consistent and production-grade across squads Coach - Work alongside engineers in their day-to-day -- pairing, code review, spec writing -- and model effective agentic development - Help engineers move from using AI for autocomplete to directing agents for meaningful, multi-step work - Share what works and what doesn't across teams; identify and spread patterns that improve output quality Raise the bar - Identify where agent-assisted development can replace manual work and help squads make that shift - Contribute to the standards and practices the engineering org adopts as it transforms -- not through mandates, through example What We're Looking For Agentic AI depth - You work with agentic AI daily -- directing agents, calling tools, building multi-step workflows -- and have done so in production - You understand what makes AI output production-grade: the quality of context, specifications, and verification, not just prompting skill - You have debugged agents in production and know from experience where they work well and where they break Engineering fundamentals - Strong software engineering background -- you can read, write, and reason about production code across the stack - Experience with testing, observability, and CI/CD -- you know how to verify that something works, not just that it runs - Fintech, payments, or regulated environment experience preferred -- you understand what it means to ship systems where correctness, auditability, and safe failure behavior matter because bugs can have financial or compliance impact Communication and coaching - You explain complex things simply and adjust for the audience - You work well with engineers at different levels of AI fluency - At E4: you have operated across multiple teams and are comfortable influencing without direct authority Nice to Have - Experience building internal developer tooling or shared infrastructure - Familiarity with LLM evaluation -- measuring whether an agent is doing a good job at scale - Prior experience leading technical change in an engineering organization Our Stack Java/Spring, Python | Angular, React, Flutter | PostgreSQL, MongoDB | AWS (ECS, Lambda) | DataDog | Pulumi | Cursor, Claude Code AI side: Anthropic API in use today, context infrastructure in early build. Why Aplazo Series B BNPL fintech expanding financial access across Latin America. Engineering leadership is aligned on the direction and the transformation is underway. You will work on real problems with real consequences, alongside engineers who are genuinely motivated to change how they work. Personal data collected during the recruitment process will be processed in accordance with the Privacy Notice of Aplaz, S.A. de C.V. (“Aplazo”), available at our Privacy and Policy Notice https://aplazo.mx/privacy-and-policy. Aplazo does not discriminate on the basis of race, religion, skin color, sex, gender, age, ethnic or national origin, marital status, disability, social or economic status, sexual preferences, or any other condition or character ... (truncated, view full listing at source)