Why This Job is Featured on The SaaS Jobs
This Senior Software Engineer role sits at the intersection of SaaS workflow automation and applied GenAI, focused on embedding agentic capabilities into a product already used at meaningful scale. Building an “intelligence layer” for assurance work highlights a common SaaS pattern: turning repeatable, high-volume professional services processes into software-led outcomes, with reliability and traceability as first-class concerns.
For a long-term SaaS engineering career, the work maps to durable platform skills rather than a single feature area. It involves designing production services and APIs, integrating cloud AI components, and balancing model behavior with security and auditability expectations. The mix of backend systems, user-facing interaction surfaces, and operational responsibilities reflects how SaaS teams ship AI features that must perform under real customer constraints, not just in demos.
This role tends to suit senior engineers who prefer hands-on delivery while still influencing architecture and engineering standards. It will fit someone comfortable navigating ambiguity in AI-driven products, collaborating across disciplines, and using observability and on-call signals to improve robustness over time. An interest in regulated or evidence-heavy domains can be a natural match, even without prior audit experience.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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:
- 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)
- 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
- Diagnose complex issues across services and use operational data (MLflow, Grafana) to drive stability improvements
- Break down epics, align team dependencies, and manage ambiguity for the team
- Integrate AI tools into workflows, critically evaluate AI outputs, and contribute to team-level AI adoption
What You Will Bring:
- 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-Haves
- 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
Ready to help shape the future of automated assurance? If you’re passionate about building AI-powered solutions and eager to make a real impact, we want to hear from you! Apply now and join our innovative team at DataSnipper.
