Senior Software Engineer – Agent Builder

The role

You will build the authoring experience that encodes audit methodology into configurable, multi-step agents. You will design agent definition models and own features end-to-end in a Python stack on Azure.

What you will do

• Build the authoring experience that encodes a firm's audit methodology into a configurable, multi-step agent
• Design the agent definition model including steps, tools, inputs, thresholds, planning behaviour and human-in-the-loop gates
• Choose the right abstraction for builders
• Work with the Agent Runtime team so authored agents compile cleanly
• Own versioning, publishing and governance in the Agent Library
• Give builders a way to test and evaluate an agent before publishing
• Instrument authored agents in production using traces
• Implement security, access-control and audit-trail requirements
• Own features end-to-end in a Python stack on Azure through to the React web app
• Architect services with clear contracts and raise the engineering bar through code reviews and mentorship

Required qualifications

• 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
• 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

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

Benefits

• Equity (Stock Appreciation Rights)
• Flexible paid time off
• Comprehensive medical and dental coverage
• 401K match
• Paid parental leave
• Company-sponsored lunch
• Access to continuous learning and development initiatives
• Access to the mental health and wellness platform
• Multiple social activities for team building

Before you apply

• Recruitment Screen (30 minutes, online)
• Hiring Manager Interview (30 minutes, online)
• Live coding Interview (75 minutes, online)
• System design interview (60 minutes, on-site)
• Final Interview (30 minutes, online)

About the company

DataSnipper builds AI solutions that empower audit and finance professionals. The platform is used by more than 600,000 professionals across 3,000+ organizations in 175 countries.