Senior AI Engineer (Netherlands)

Salary

Core Qualifications

Preferred Qualifications

Key Responsibilities

• •Design and build the runtime our agents execute on: planning and execution loops, tool calling, state management, durable execution, and failure recovery
• •Build the layer through which agents reach platform data and external systems safely
• •Design coordination, delegation, and handoff across agents and workflows where needed
• •Make agent behavior versionable, testable, measurable, and regression-safe across releases
• •Build reusable primitives so new agents are configured rather than rebuilt from scratch
• •Take a domain workflow from expert conversation to a working agent: goals, actions, execution flow, failure handling, and success criteria
• •Ground agent decisions and outputs in authoritative enterprise data rather than relying on model knowledge alone
• •Implement human-in-the-loop by design, including approval gates, override capture, uncertainty handling, and clear evidence for agent decisions
• •Close the loop: turn user corrections and overrides into signals that measurably improve the agent
• •Build evaluation harnesses for multi-step behavior, not single-response accuracy: task completion, tool-call correctness, groundedness, trajectory quality, and regression across model, prompt, and tool changes
• •Define production metrics for agent quality, reliability, latency, cost, and human intervention rates
• •Implement guardrails, fallbacks, timeouts, cost ceilings, and end-to-end observability and tracing across agent runs
• •Design safeguards against prompt injection, unsafe tool use, excessive permissions, data leakage, and other agent-specific security risks
• •Manage prompt evolution, model drift, and non-determinism while maintaining consistent, measurable system behavior across releases
• •Integrate agents with platform APIs and third-party enterprise systems already running in our customers’ environments
• •Build retrieval and context pipelines that turn fragmented enterprise data into reliable, permission-aware agent context
• •Design controlled execution paths for automated actions, with a complete, traceable audit trail
• •Build and operate backend services on AWS (Lambda, API Gateway, DynamoDB, Step Functions, etc.)
• •Own significant parts of the system architecture and contribute to key technical decisions
• •Contribute to infrastructure-as-code and deployment pipelines