About the RoleWe're hiring a Backend software engineer to build and scale the core infrastructure that powers our AI agents. You'll work across APIs, data models, integrations, and backend systems that handle high-volume queries and critical finance workflows.
Your mission is tobuild reliable, scalable backend systems that enable our AI agents to deliver fast, accurate, and trustworthy results for enterprise customers
. You'll develop new features, expand integrations, optimize performance, and contribute to the architecture that supports hundreds of thousands of AI-driven queries per month.
This is a high-impact role for someone who loves building backend systems, enjoys solving complex data and integration challenges, and wants to grow quickly inside a fast-moving startup.
Key Responsibilities- Build Core Backend Systems: Develop and maintain backend features, APIs, and business logic that power our AI agents and user-facing applications.
- Own Integrations: Build integrations with ERPs, banks, CRMs, HRIS, payroll, billing systems, and other finance data sources.
- Create ETL Pipelines: Develop and maintain ETL processes that ensure smooth, reliable data flow from external systems into our database.
- Optimize Backend for Scale: Work with the AI team to ensure backend systems support high-volume AI queries with strong performance and reliability.
- Take Ownership of Product Components: Own large areas of the backend with a high degree of autonomy and an ownership mentality.
About You- 2+ years of backend engineering experience delivering production systems and features
- Strong experience building REST APIs, working with databases, and developing backend services (TypeScript/Node.js preferred)
- Comfortable building integrations, reading API documentation quickly, and connecting disparate systems with urgency
- Strong understanding of data modeling, schema design, and moving data across siloed systems
- Excellent problem solver who enjoys debugging, prototyping, and thinking creatively through technical challenges
- Thrives in fast-paced, ambiguous environments and is able to self-direct, move quickly, and operate with high ownership in a startup setting
- Experience with financial systems (ERPs, billing, payroll, or other systems) or fintech products (preferred but not required)
- Experience with data warehouses (Snowflake, Redshift, BigQuery), ETL tools (Fivetran, Airbyte)
