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About the Role
We are seeking a Senior Applied AI Engineer to join the Agent Runtime team, focusing on Alwin, our new Agentic Automation Platform for audit and finance. This role involves owning the applied AI aspects of the runtime layer, which supports Alwin agents in their tasks. You will define how agents reason, utilize tools, manage context, and how their performance is measured, contributing to the development of production agents in a regulated domain.
Responsibilities
- 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
Requirements
- 5+ years of software engineering experience with strong, production-grade Python
- Experience shipping and operating an LLM-powered product in production: dealt with hallucinations, latency spikes, tool failures and cost explosions at scale, and can explain what broke and how you fixed it
- Hands-on experience building agentic systems: control loops, tool selection, planning versus execution, retries and fallbacks, not only prompt-and-parse pipelines
- Experience with evaluation: built datasets, run offline and online experiments, and used the results to make an AI system measurably better
- Fluency with LLM APIs and agent frameworks across more than one model provider
- Proficient with AI-assisted engineering and excited about working with coding agents daily
- Strong fundamentals in software architecture and system design, and a track record of reliable, well-tested delivery
- Excellent communication; can work directly with auditors and product partners to define what "correct" means
- 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
Skills
- Python
- LLM APIs
- Agent frameworks
- AI-assisted engineering
- Software architecture
- System design
- Durable workflow engines
- RAG
- Retrieval pipelines
- Document AI
- VLMs
- OCR
- Sandboxed code execution
- OWASP GenAI security practices
Location
- New York City
Work Type
- Hybrid
Experience Level
- Senior
Benefits
- Excellent salary + stock participation plan
- Flexible paid time off
- Comprehensive medical and dental coverage
- 401K match
- Paid parental leave
- Company-sponsored lunch
- Access to OpenUp and Talkspace, the mental health and wellness platform
- Multiple social activities for team building
About the Company
- 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.
- Being part of one of the fastest-growing scale-ups in the Netherlands
- Make an impact by disrupting the finance industry with us
- A flexible and growing organization with lots of opportunities to learn and develop
- International working environment, with a team of friendly and driven colleagues