Senior Software Engineer, AI Agents

We are looking for a Senior Software Engineer to join the AI Agents Team at DataSnipper. You will build the intelligence layer that orchestrates the full assurance lifecycle from risk assessment to control testing, evidence gathering, and documentation generation, directly reducing manual effort and accelerating audit outcomes for our customers.

This is a hands-on engineering role in a high-caliber team that moves fast and holds a high bar. You will design and implement AI-powered agents, drive architectural decisions and help shape the future of automated assurance.

• Why DataSnipper?
• Audit and finance are still massively manual — and we’re changing that.

• DataSnipper is a $1B, bootstrapped unicorn with 600,000+ users across 180+ countries, already embedded in the daily workflows of top audit and accounting firms. Now, we’re taking things further with our Excel Agent — bringing AI directly into where the work actually happens.
• Unlike generic AI tools, we don’t sit on the sidelines. Our AI operates inside Excel, with access to real documents and audit evidence — meaning it doesn’t just generate answers, it does the work, with full traceability .

We’re not just applying AI — we’re redefining how audit gets done. If you want to build something category-defining at scale, this is the place.

What You Will Do

Technical Delivery

Design and implement AI-powered agents that automate assurance workflows, analyzing Excel files and documents using natural language commands

Build and maintain production APIs and services in a Python monorepo (FastAPI, Pydantic AI, MongoDB)

Integrate with Azure and its AI services for document intelligence, blob storage, and cloud infrastructure

Contribute to the React chat interface that provides an interactive experience for users

Implement security controls aligned with OWASP GenAI security protocols

Participate in an on-call rotation (second line after SRE and tech support)

Architecture & Quality

Architect services and systems using well-established design principles, anticipating future use cases

Produce robust, production-ready code that anticipates edge cases; review for correctness, design quality, and maintainability

Raise the engineering bar through technical mentorship, high-quality code reviews, and establishing best practices

Use quality metrics to identify gaps and recommend improvements aligned with testing frameworks

Diagnose complex issues across services and use operational data ( MLflow , Grafana ) to drive stability improvements

Collaboration & Impact

Break down epics, align team dependencies, and manage ambiguity for the team

Design solutions with product partners, refine team roadmap, and simplify technical approaches

Foster a culture of documentation and knowledge sharing within the team and with business stakeholders

Integrate AI tools into workflows, critically evaluate AI outputs, and contribute to team-level AI adoption

What You Will Bring:

Must-Have

7+ years in software engineering, with strong proficiency in Python , its eco-system and tooling

Experience building and deploying GenAI-based applications

Proficient with AI-assisted Engineering (we use Claude Code)

Solid experience building and maintaining data-driven Web APIs on any cloud platform

Strong fundamentals of software architecture and system design

Experience with testing strategies (unit, integration, E2E) and a quality-first mindset

Excellent communication and collaboration skills

Nice-to-Have

Experience building and deploying agentic applications in production

Experience in the audit domain or fintech

Experience with document processing technologies

Experience with observability tools

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

Excellent salary package, competitive for top tech talent

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

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 OpenUp, a mental health and wellness platform supporting your wellbeing

Friday drinks and various social activities are designed for team bonding and fun

At DataSnipper, we believe great ideas come from different perspectives, experiences, and backgrounds. We’re committed to building an inclusive workplace and providing a fair and equitable hiring experience for every candidate.

We welcome applicants regardless of age, race, ethnicity, nationality, gender, gender identity or expression, sexual orientation, religion, disability, or any other characteristic that makes you, you.

What matters to us is your potential, your experience, and what you can bring to the team!