AI Engineer

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

Job summary

Suitsupply is hiring its first dedicated AI Engineer to build production-grade, tool-calling agents on its GCP data platform. The role is forward-deployed, embedding with business teams to automate high-leverage processes and establish reusable patterns.

Strong Python skills, production AI experience, and fluency in GCP and Vertex AI are required. The successful candidate will embed with teams to map processes, identify automation opportunities, and build reliable agents.

Qualifications

• Strong Python skills and production AI experience.
• Fluency in GCP and Vertex AI.
• Experience with tool-calling and agent-based automation.
• Hands-on experience with BigQuery and APIs.

Responsibilities

• Embed with teams to map processes and identify automation opportunities.
• Build tool-calling agents that run real business processes reliably.
• Turn builds into reusable skills, connectors, evals, and templates.
• Hand off systems with runbooks, eval frameworks, and named owners.
• Define quality standards for agents and mentor team champions.

Skills

Python

APIs

Testing

Version Control

Observability

Agentic Workflows

RAG

Tool-Calling

Tools

GCP

Vertex AI

Claude

Claude Code

BigQuery

MCP

Job description

Suitsupply is hiring its first dedicated AI Engineer to build production-grade, tool-calling agents on its GCP data platform. The role is forward-deployed, requiring embedding with business teams to automate high-leverage processes and establishing reusable patterns. Candidates need strong Python skills, production AI experience, and fluency in GCP and Vertex AI.

Technical (Must-have)

• Python
• Testing
• APIs
• Version Control
• Observability
• Agentic Workflows
• RAG
• Tool-Calling
• GCP
• Vertex AI
• Claude
• Claude Code
• MCP
• BigQuery

Soft Skills

• Product Sense
• Judgment
• Mentoring
• Communication
• Thriving in Ambiguity

Key Responsibilities

• Embed with teams to map processes and identify automation opportunities.
• Build tool-calling agents that run real business processes reliably.
• Turn builds into reusable skills, connectors, evals, and templates.
• Hand off systems with runbooks, eval frameworks, and named owners.
• Define quality standards for agents and mentor team champions.

Python, Testing, APIs, Version Control, Observability, Agentic Workflows, RAG, Tool-Calling, GCP, Vertex AI, Claude, Claude Code, MCP, BigQuery, 5 years of relevant experience