Production AI Engineer — Create Real-World Automation Agents

Arbeitnow; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Autonomy

Growth opportunities

CSR

Suitsupply discount

Competitive salary

Job summary

Suitsupply is seeking an experienced AI Engineer to embed with the teams doing the work, turning our GCP data platform and governed context layer into automated, tool-calling workflows that power real business processes.

You will ship production-grade agents, define the standards for accuracy and guardrails, and mentor per-team champions to scale automation across the organization, using Python, testing, APIs and observability.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

Testing basics

APIs

Version control

Observability

Production AI

GCP

Tools

Vertex AI

BigQuery

Claude ecosystem

Job description

Suitsupply is seeking an experienced AI Engineer to embed with the teams doing the work, turning our GCP data platform and governed context layer into automated, tool-calling workflows that power real business processes.

You will ship production-grade agents, define the standards for accuracy and guardrails, and mentor per-team champions to scale automation across the organization, using Python, testing, APIs and observability.