Staff Software Engineer - Alwin

We are looking for a Staff Software Engineer in our Amsterdam office to build Alwin, our Agentic Automation Platform for audit and finance, and the systems around it. Alwin agents run multi-step audit procedures over client evidence and return finished workpapers with every number traced back to source. Humans plan, review and sign off.

This is a hands-on role, most of your time goes into writing code: prototyping new agent capabilities, building the hardest parts of the platform, and getting them into production. The rest goes into making the people and systems around you better: raising the bar, mentoring engineers, and leading the technical decisions that shape Alwin. Your mission: speed up innovation, drive the quality bar, and help us build the best agentic products for audit and finance.

You lead by example. Engineers across teams follow your direction because they see it work in your code, not because it is written in a document.

Why DataSnipper?

And we build at scale. More than 600,000 professionals across 3,000+ organizations in 175 countries rely on DataSnipper, including Fortune 500 companies, government agencies and all Big Four audit firms. In 2025 alone, the DataSnipper platform delivered more than $1.4 billion in productivity savings to is customers. Backed by a $100 million Series B led by Index Ventures, at a $1 billion valuation, and as proud members of 1% for the Planet, we care about how we grow, not just how fast.

What You Will Do:

Build & Ship

• Write production code every week on the most complex and critical parts of Alwin
• Build proofs of concept for new agent capabilities, and take the ones that work all the way to production
• Champion experimentation and R&D: try emerging models and techniques, solve hard problems creatively, and turn promising ideas into reliable features
• Shape the Alwin platform and adjacent systems by building them: the core abstractions, the reference implementations, the patterns other teams reuse
• Contribute directly to the agent harness at the core of Alwin: the orchestration, tools, context and evaluation loops every agent runs on
• Anticipate where the platform needs to be in 12–18 months, and make design decisions now that minimize the cost of future change

Agents in Production

• Build agents that are reliable in a regulated domain: grounding, evaluation before release, human-in-the-loop, traceability of every action
• Instrument what you ship, use traces and quality metrics to find where agents fail, and fix the cause, not just the symptom
• Jump into the hardest incidents across teams, and turn them into lasting fixes
• Make the trade-offs between model cost, latency and accuracy explicit, and measure them in production

Lead by Example

• Lead technical decisions: drive the key design calls across teams, lay out the trade-offs openly, get to a decision quickly, and then prove it out in code
• Set the standard for code quality, testing and security through your own code and reviews, aligned with OWASP GenAI
• Drive AI-assisted engineering: try new tools first, show what works, and help teams adopt it
• Shape how we build Alwin: the development process, tooling and feedback loops that let teams go from idea to tested, production-ready agent fast
• Mentor senior engineers and grow future staff engineers by pairing, reviewing and building alongside them
• Work with Product to spot opportunities and differentiators against the competition, and shape the roadmap with what you have proven is possible

What You Bring:

• 10+ years in software engineering, with strong, production-grade Python, and you still write a lot of code
• Deep hands-on experience building and shipping agentic or LLM systems in production yourself: control loops, tool calling, context engineering, evaluation, not only prompt-and-parse pipelines
• A track record of building systems other engineers build on, and raising the bar across multiple teams through your own work
• Experience leading technical decisions and mentoring senior engineers while staying hands-on
• Strong fundamentals in distributed systems, software architecture and data modeling on a major cloud platform
• Experience with security, access control and auditability for enterprise or regulated customers
• Product sense: you know which technical bets matter for customers and the business, and can make the case to Product
• Proficient with AI-assisted engineering, and experience driving its adoption beyond your own work
• Clear written and verbal communication, across time zones and with technical and non-technical audiences

Nice-to-Have

• Building platforms that other teams and customers build on
• Multi-agent orchestration or durable, long-running workflows at scale
• Retrieval and knowledge systems, or document processing (OCR, classification, structured extraction)
• Working closely with Forward Deployed Engineers, Solution Architects and GTM teams on enterprise rollouts
• Experience at a scale-up going through rapid growth
• Domain experience in audit, accounting or fintech

What We Offer:

• Be part of one of the fastest-growing, profitable unicorn scale-ups in the Netherlands with a global impact
• Equity (Stock Appreciation Rights) to share the company's success and growth
• Pension plan with a 6% contribution on top of your base salary
• 28 vacation days per year (full-time) to support your work-life balance
• Hybrid work model with at least 3 days onsite in our dynamic Amsterdam office
• Daily, freshly prepared lunches by our in-house chef to keep you energized
• NS business card for easy commuting to the office if applicable
• Access to continuous learning and development initiatives to grow your skills
• Engage with a vibrant international team spread across five global offices
• Company-wide events like DataSnipper GO, where global teams come together
• Access to a mental health and wellness platform supporting your wellbeing

Recruitment Process

• Recruitment Screen (30 minutes, online)
• Hiring Manager Interview (30 minutes, online)
• Live coding Interview (75 minutes, online)
• System design interview (60 minutes, on-site)
• Final Interview (30 minutes, online)