Senior AI DevEx role surfaces demand

Planet posted a Senior AI Developer Experience Engineer opening in Porto on April 24, 2026, to help scale what it calls “AI-first engineering” across its technology organization. (parking.net) The role is a 12-month fixed-term contract on Planet’s AI Enablement team. The listing says the job is meant to turn the company’s AI ambition into “day-to-day reality” for engineering teams. (parking.net) Planet says the hire will support more than 300 engineers, along with quality assurance staff, product owners, scrum masters, business analysts, and managers. The work includes AI fluency sessions, hands-on pairing, internal agents, workflow automations, and reusable guidance. (parking.net) Developer experience usually means making software teams faster by improving tools, documentation, and workflows. In this posting, Planet ties that work directly to prompt engineering, agentic coding workflows, and adoption of GitHub Copilot, Copilot CLI, and internal AI agents. (parking.net) The listing also says the engineer will work inside delivery teams rather than from a central advisory group. Planet says the person will spend time with teams, identify where they struggle, and embed new habits in “real delivery work.” (parking.net) That makes the job part coach, part platform operator, and part change manager. Planet says success depends on engineering credibility, clear communication, trust-building, and the ability to create momentum across the organization. (parking.net) The posting fits a broader pattern in Planet’s Porto hiring. A separate Senior Software Engineer listing says the team processes millions of financial transactions and expects engineers to integrate AI tools such as GitHub Copilot and Cursor into code generation, testing, and code review. (simplyhired.pt) Planet describes itself as a payments and software company serving retail and hospitality customers in more than 120 markets, with more than 2,500 employees across six continents. In that setting, an AI enablement role attached to delivery workflows points to operational rollout, not a small internal experiment. (parking.net) (simplyhired.pt) The opening does not read like a research post or a standalone machine learning engineer job. It reads like a company hiring someone to make AI use routine, supervised, and measurable across a large software organization. (parking.net)