The client is building AI systems to deeply understand companies and help run their internal financials and operations. The platform sits on top of rich data in ERPs, data warehouses, and spreadsheets to enable mid-market manufacturers and enterprises reimagine observability into their margins, product/customer mixes, and operational analytics to drive faster, more accurate strategic decision-making at scale.
Requirements
- Experience as a full stack or backend engineer, with strong backend expertise
- Proficiency in modern backend technologies and experience with relational/analytical databases
- Experience working with data-intensive systems, APIs, and cloud platforms
- Familiarity with AI/ML workflows: training, deployment, and serving models in production
- Nice to have: experience building integrations with ERP systems (e.g., SAP, NetSuite, Oracle) or financial platforms
Responsibilities
- Architect, design, and implement scalable backend services to process complex financial and operational datasets
- Build and maintain APIs and integrations with ERPs, data warehouses, and spreadsheets
- Productionize models and agents that power margin analytics, product/customer mix analysis, and decision-making tools
- Own projects end-to-end: from design discussions to deployment, monitoring, and iteration
- Work closely with finance leaders, engineers, and researchers to translate business needs into technical solutions
Other
- Strong problem-solving skills with a bias for action and ownership
- Curious, adaptable, and eager to work on hard, meaningful problems in a collaborative environment
