As Suitsupply's first dedicated AI Engineer, you will build production-grade agents that transform our GCP data platform and governed context layer into automated, tool-calling workflows running real business processes. This role is forward-deployed: you will embed with the teams doing the work, identify the highest-leverage processes to automate, and ship production-ready agents rather than prototypes. You will lay the reusable 'golden path'—skills, connectors, evals, and templates—that make every agent built after yours faster to deliver. This is an on-site role based in Amsterdam, Netherlands.

What You Will Do - Embed with the teams doing the work, map how a process actually runs, and identify the single highest-leverage opportunity to automate. - Build tool-calling agents on our platform that take real processes off people's plates as reliable production systems, not prototypes. - Turn every build into reusable skills, connectors, evals, and templates, so agent-building gets faster each time. - Hand off cleanly, leaving a running system with a runbook, an eval framework, and a named owner. - Define what 'good' looks like for agents — accuracy, cost, guardrails, sensitive-data handling — and mentor the per-team champions who scale it.

Who You Are A production software engineer first, with strong Python and real fundamentals in testing, APIs, version control, and observability. Proven experience building agentic workflows, RAG, and tool-calling systems that run in production, not just in demos. Evaluation-driven: you set a baseline, define the metrics that matter, and p

As Suitsupply's first dedicated AI Engineer, you will build production-grade agents that transform our GCP data platform and governed context layer into automated, tool-calling workflows running real business processes. This role is forward-deployed: you will embed with the teams doing the work, identify the highest-leverage processes to automate, and ship production-ready agents rather than prototypes. You will lay the reusable 'golden path'—skills, connectors, evals, and templates—that make every agent built after yours faster to deliver. This is an on-site role based in Amsterdam, Netherlands.

What You Will Do - Embed with the teams doing the work, map how a process actually runs, and identify the single highest-leverage opportunity to automate. - Build tool-calling agents on our platform that take real processes off people's plates as reliable production systems, not prototypes. - Turn every build into reusable skills, connectors, evals, and templates, so agent-building gets faster each time. - Hand off cleanly, leaving a running system with a runbook, an eval framework, and a named owner. - Define what 'good' looks like for agents — accuracy, cost, guardrails, sensitive-data handling — and mentor the per-team champions who scale it.

Who You Are A production software engineer first, with strong Python and real fundamentals in testing, APIs, version control, and observability. Proven experience building agentic workflows, RAG, and tool-calling systems that run in production, not just in demos. Evaluation-driven: you set a baseline, define the metrics that matter, and p