Forward Deployed Engineer, Enterprise (AI)

Location: Amsterdam, Netherlands; hybrid with 3 days per week at the Amsterdam office and 2 days remote. The role leads enterprise deployments for banks and large lenders in the Netherlands.

Company

Builds production AI agents for banks, initially focused on voice AI for debt collection across voice, messaging, email, and SMS.

What you will do

• Own enterprise agent delivery from POC scoping through implementation, evaluation, and production launch.
• Define operating procedures, guardrails, escalations, prompts, and agent logic for identification, negotiation, and payment conversations.
• Configure contact strategies, channels, payment links, and human-agent handoffs within country regulations.
• Build evaluation and simulation harnesses, regression tests, and integrations with core banking, collections, data, and telephony systems.
• Diagnose failures using transcripts, traces, and logs; analyze production performance with SQL and dashboards; and improve agents and strategies.
• Work with customer stakeholders, Account Executives, Product, and Engineering while creating reusable templates and playbooks.

Requirements

• 5+ years in a technical customer-facing role such as forward deployed engineering, solutions engineering, implementation engineering, technical consulting, or technical product management.
• Ability to write code and SQL, work with APIs, and build end-to-end integrations.
• Hands-on experience with LLMs, including prompting, evaluations, guardrails, harnesses, and tool use.
• Experience delivering production systems for enterprise customers that require structured testing and iteration.
• Ability to explain technical decisions to senior stakeholders and turn requirements into delivery plans.
• Comfort working in fast-moving, ambiguous situations while shaping and building solutions.
• Native-level Dutch and fluent English required.

Nice to have

• Experience in banking, lending, collections, or regulated customer communications.
• Voice AI or telephony experience.
• Computer Science, Engineering, or Math degree, or equivalent experience.

Culture & Benefits

• Hybrid and flexible setup with 3 office days and 2 remote days per week.
• Competitive salary based on skills, experience, and impact.
• Stock options and the opportunity to contribute during the startup journey.
• Training, knowledge-sharing, and exposure to other startups in the ecosystem.
• Inclusive and equitable workplace focused on diverse perspectives.

Hiring process

• First interview with a future teammate, followed by a technical deep dive with the Hiring Manager and potentially another team member.
• Practical technical assessment or business case.
• Final call with the founders.