AI Agent Engineer

Hunkemöller • Deerfield, IL

2d • Hybrid

About The Position

This position is for an AI Agent Engineer to build and run AI agents that take on the routine work in Hunkemöller's head office roles. When a role opens, you work with the department to map its work, judge honestly how much an agent can take on, and build and run the agent that does it, up to one a month. You will work across Microsoft 365, Google Cloud and Anthropic, design agents that are safe to rely on, and help teams adopt them.

Requirements

• Hands-on experience building automation, such as robotic process automation, Power Platform or workflow tools, and recent work on agents built on language models. Recent, relevant experience matters more than years in a role.
• Experience using Python or TypeScript, APIs and system integration, and experience with Microsoft 365 and Copilot Studio, Google Cloud agent tooling, or Anthropic models and agent tooling. Experience with the Model Context Protocol is a plus.
• Experience with testing an agent's output, handling exceptions and keeping a person in the loop where it matters.
• Know how to break a role into its tasks, spot what is routine and what needs judgment, and estimate the effort honestly.
• Have operated systems that people depend on, not only demos.
• Communicate clearly and work patiently with teams adjusting to new ways of working, as well as knowing how to build trust with HR and department leads.
• Clear understanding of data access and privacy, and the risks of agents that can change business data.
• Written and verbal English communication skills. Dutch is a plus.

Nice To Haves

• Experience with the Model Context Protocol is a plus.
• Dutch is a plus.

Responsibilities

• Assess Automation Opportunities: Map a role's processes with the department and decide quickly whether an agent will hold up in daily use, including when the answer is no.
• Build Production Agents: Build agents in Microsoft 365, on Google Cloud or with Anthropic models that work across the same tools and data the role uses today.
• Design for Safe Use: Give every agent a named owner, read access by default, write access only with approval, and a person who confirms consequential actions.
• Run What You Build: Own monitoring, evaluation, maintenance and fixes for the agents you deliver.
• Support the Teams Using Agents: Onboard and train the people who work alongside each agent, and act on their feedback.
• Reuse and Document: Turn common patterns into reusable building blocks and document each agent so others can run it.
• Cover for the Team: Back up the Creative AI Engineer on basic work, so the team keeps moving when someone is out.

Benefits

• 25 days of annual leave, with the option to buy or sell up to 4 additional days
• Hybrid work model, combining office and remote working
• Possibility to work from abroad for up to 2 weeks per year
• An international work environment, working with teams across different countries
• Travel allowance to support commuting costs
• Access to the Hunkemöller Academy for professional development
• 25% employee discount on all Hunkemöller products

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed