Senior Software Engineer, Datasnipper
AI Agents
+ Equity
3-5 days a week in office
Intelligent audit platform
Open for applications
Intelligent audit platform
201-500 employees
Open for applications
+ Equity
3-5 days a week in office
201-500 employees
Company mission
To deliver intelligent automation with effortless data validation.
Role
Who you are
- 7+ years in software engineering, with strong proficiency in Python, its eco-system and tooling
- Experience building and deploying LLM/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
Desirable
- 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 the job involves
- 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
- You will work closely with product partners, platform teams, and fellow engineers to deliver high-quality, production-ready solutions
- 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
- 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
- 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
Our take
With data having become a commodity in and of itself, infrastructure must be enforced so as to validate and contextualize it. Datasnipper does just that with its automated data validation platform for auditors.
Repetitive manual work in auditing means decreased efficiency and slower results. Auditors must reconcile data by cross-referencing it with that of older systems, verifying this data with documentation such as invoices, bank statements and previous contracts. Datasnipper’s platform uses intelligent automation that translates these documents directly into Excel spreadsheets, helping auditors make informed decisions at a faster rate.
Initially launched from Bootstrap, Datasnipper has successfully raised to Series B and has had a strong few years since. It doubled its revenue and customer base and reached Unicorn Status, indicating the auditing industry’s embrace of AI as a tool.
On top of this success, it recently announced a collaboration with Microsoft to bring AI agents into audit and finance workflows. The moves goes beyong incremental automation, positioning AI as a digital teammate embedded directly into everyday tools like Excel. With trust and adoption of AI continuing to rise across the sector, this partnership shows just how must of a leading role DataSnipper is playing in shaping the future of audit and finance.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Feb 2024
$100m
SERIES B
Total funding: $100m
Company HQ
Nieuwendammerham, Amsterdam, Netherlands
Leadership
Kai Bakker
(Co-Founder)Previously a Software Engineer at KAS BANK and ixly as well as a Freelance Web Developer.
Maarten Alblas
(Co-Founder)Previously a Software Engineer at Xomnia.
Jonas Ruyter
(Co-Founder)Previously a Senior Account Manager at Benify and an Account Manager at Sixt Rent a Car. They also worked in Marketing and Communication at IBM and was an Interaction Designer at ILUMY.
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