Senior Software Engineer, Datasnipper

• 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 versioning, permissions and publishing in a multi-tenant platform
• 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

Desirable

• We are looking for a Senior Software Engineer in our New York office to join the Agent Builder team behind Alwin, our Agentic Automation Platform for audit and finance. 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
• Agent Builder is where firms encode their methodology into agents. Methodology and quality teams describe how a procedure should execute; you build the product that turns that into a governed, versioned agent their whole firm can run consistently, every time. The problems are largely open: there is no playbook for letting auditors author production agents in a regulated domain, so you will help write it
• This is a hands-on role in a team that moves fast and holds a high bar. Your work goes in front of hundreds of thousands of audit and finance professionals at the world's largest firms
• 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