Senior Software Engineer – Agent Builder (Alwin by DataSnipper)

About DataSnipper

The Role

Agent Authoring

Governance & Quality

Collaboration & Impact

Must-Have

• 6+ years in software engineering, with strong, production-grade Python
• Hands-on experience building and operating agentic systems in production: control loops, tool calling, planning versus execution, retries and fallbacks, not only prompt-and-parse pipelines
• Experience with LLM APIs and agent frameworks across more than one model provider
• Solid experience building data-driven web APIs on a major cloud platform
• Strong fundamentals in software architecture, system design and data modelling
• A track record of owning product features end-to-end, including frontend work in React or a similar framework
• Experience with testing strategies (unit, integration, E2E) and a quality-first mindset
• Proficient with AI-assisted engineering (we use Claude Code)
• Excellent communication; you can work directly with auditors and product partners to define what "correct" means
• Experience with agent evaluation: datasets, offline and online experiments, failure classification
• Experience with versioning, permissions and publishing in a multi-tenant platform

Nice-to-Have

• Experience building low-code / configuration products, workflow designers, rule engines or DSLs
• Experience with agent evaluation: datasets, offline and online experiments, failure classification
• Experience with versioning, permissions and publishing in a multi-tenant platform
• Durable workflow engines (e.g. Temporal ) or multi-agent orchestration in production
• Document processing: OCR, classification, structured extraction
• Domain experience in audit methodology, accounting or fintech

What We Expect

What we offer

• Excellent salary + stock participation plan
• Flexible paid time off
• Comprehensive medical and dental coverage
• 401K match
• Paid parental leave
• Company-sponsored lunch
• Hybrid mode of work (at least 3 days onsite in our New York City office)
• 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
• Access to OpenUp and Talkspace, the mental health and wellness platform
• Multiple social activities for team building 🤩

Responsibilities

• Build the authoring experience that encodes a firm's audit methodology into a configurable, multi-step agent
• Design the agent definition model: steps, tools, inputs, thresholds, planning behaviour and human-in-the-loop gates
• Choose the right abstraction for builders, so non-engineers get consistent agents without writing prompts from scratch
• Work with the Agent Runtime team so authored agents compile cleanly onto the base agent, tools and orchestration layer
• Own versioning, publishing and governance in the Agent Library: who may build, publish and run which agent
• Give builders a way to test and evaluate an agent before publishing, working with the Agent Runtime and Evals teams
• Instrument authored agents in production and use traces ( Grafana, OpenTelemetry, MLflow ) to find where definitions break down
• Implement security, access-control and audit-trail requirements expected by regulated customers, aligned with OWASP GenAI
• Own features end-to-end in our Python stack ( FastAPI, Pydantic, MongoDB ) on Azure, through to the React web app
• Architect services with clear contracts that other Alwin teams can build on
• Raise the engineering bar through code reviews, mentorship and well-documented technical decisions
• Break down epics and manage ambiguity with product, design and audit methodology experts
• What You Will Bring
• 6+ years in software engineering, with strong, production-grade Python
• Hands-on experience building and operating agentic systems in production: control loops, tool calling, planning versus execution, retries and fallbacks, not only prompt-and-parse pipelines
• Experience with LLM APIs and agent frameworks across more than one model provider
• Solid experience building data-driven web APIs on a major cloud platform
• Strong fundamentals in software architecture, system design and data modelling
• A track record of owning product features end-to-end, including frontend work in React or a similar framework
• Experience with testing strategies (unit, integration, E2E) and a quality-first mindset
• Proficient with AI-assisted engineering (we use Claude Code)
• Excellent communication; you can work directly with auditors and product partners to define what "correct" means
• Experience building low-code / configuration products, workflow designers, rule engines or DSLs
• Experience with agent evaluation: datasets, offline and online experiments, failure classification
• Experience with versioning, permissions and publishing in a multi-tenant platform
• Durable workflow engines (e.g. Temporal ) or multi-agent orchestration in production
• Document processing: OCR, classification, structured extraction
• Domain experience in audit methodology, accounting or fintech
• Ownership: You own work end-to-end, anticipate issues, and ensure high-quality delivery without close supervision. We expect you to influence the technical direction of the team.
• Growth Mindset: You encourage open feedback exchange and provide clear, balanced feedback that helps others grow
• Collaboration: You build strong cross-functional relationships and influence peers through expertise, data, and empathy
• Adaptability: You navigate ambiguity calmly, model positive behavior, and help peers adjust through clear communication
• Judgment: You exercise sound judgment in ambiguous situations, balance speed and accuracy, and adjust priorities proactively