Senior Applied AI Engineer – Agent Runtime (Alwin by DataSnipper)

DataSnipper is the Agentic Automation Platform for audit and finance. Known worldwide for our Excel add-in, we are now building Alwin by DataSnipper: purpose-built agents that execute audit and finance workflows end-to-end, with every output traceable back to source evidence and a human signing off. Headquartered in Amsterdam with offices in New York, Tokyo, Kuala Lumpur and Sydney, we are used by hundreds of thousands of professionals at the world's largest firms. Our mission: automate the mundane, unlock the meaningful.

Own the base agents: system prompt, context engineering, memory and state management for tasks that span many turns and hours of execution

Design how agents use the tool layer, including document extraction, retrieval, code and file sandboxes, and MCP integrations, choosing the right level of abstraction so agents handle edge cases without wasting effort on mechanical steps

Implement agentic patterns such as sub-agent composition, planning modes, human-in-the-loop gates, and model routing across multiple providers

Ship end-to-end: from prototype with our audit domain experts, through evaluation, to production on Alwin

Define and build automatic processes that improve the agent continuously over time

Keep costs under control and implement cost-efficient approaches to AI-centric workflows

Extract signal from long agent trajectories: attribute outcomes to specific reasoning steps and tool calls, classify failure modes, and turn them into fixes

Hill-climb accuracy, latency and token cost, and make the trade-offs explicit for the teams building on the runtime

Instrument agent behaviour with our observability stack and use production traces to drive improvements

Partner with Agent Experience teams, Document Intelligence and the AI Platform team to turn their needs into runtime capabilities that are self-service rather than a request queue

Stay on the frontier: evaluate new models, techniques and agent patterns, and bring the ones that hold up into production

Experience with Durable workflow engines or long-running background task systems

Experience with RAG and retrieval pipelines over large, messy document corpora

Document AI: VLMs, OCR, structured extraction and their metrics

Sandboxed code execution, MCP, or multi-agent orchestration in production

Domain experience in audit, accounting or fintech

Familiarity with OWASP GenAI security practices and working in a regulated, privacy-sensitive environment

Ownership: You own work end-to-end, anticipate issues, and ensure high-quality delivery with minimal support. We expect you to influence the technical direction of the team.

Growth Mindset: You encourage open feedback exchange and provide clear, balanced feedback that helps others grow

Collaboration: You build strong cross-functional relationships and influence peers through expertise, data, and empathy

Adaptability: You navigate ambiguity calmly, model positive behavior, and help peers adjust through clear communication

Judgment: You exercise sound judgment in ambiguous situations, balance speed and accuracy, and adjust priorities proactively

Being part of one of the fastest-growing scale-ups in the Netherlands

Make an impact by disrupting the audit industry with us

28 vacation days

Excellent salary

Pension plan

Stock participation plan

Hybrid work (Amsterdam-based)

International team and environment

Daily lunch 🍽️

Mental health support (OpenUp)

Social events and team activities 🤩

Recruiter screen

Hiring Manager interview

Peer programming session

System design interview

Final interviews with Engineering leadership