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# AI Engineer

- **Company:** Suitsupply
- **Location:** Amsterdam, Netherlands
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Python (Programming Language), Software Engineering, Data Processing, Retrieval-Augmented Generation, Claude Code, Agentic-AI, Build Tools, Claude, Software Version Control
- **Published:** November 7, 2026
- **Apply:** https://www.adzuna.nl/details/5955988786

## About the Role

* 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 prove with numbers that a change moved the needle.
 * Fluent in GCP and Vertex AI, comfortable in the Claude ecosystem (Claude Code, MCP, skills), and at home in BigQuery.
 * Forward-deployed by temperament, thriving in ambiguity and able to translate business problems into technical plans for a director and an engineer alike.
 * Approximately 5+ years in software engineering with production AI experience, strong product sense, and the judgment to know when to prototype, harden, or stop.

## Description

As one of Suitsupply's first dedicated AI Engineers, you will build the agents that turn 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-grade 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. Joining early means helping shape the Data & AI team's standards as it scales, with your impact measured in agents shipped and hours returned to the business. You will report into the Director of Data.
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.