Senior Founding Engineer

This role asks for a hands on builder who can take a vague problem and ship working systems alone, from data integrations and orchestration to an agent layer and the schema behind it. A strong candidate has already helped carry a startup through a growth stage and personally built the systems that survived it. Breadth matters more than narrow depth: backend Python, some frontend, data modelling, reliability work and a clear sense of design tradeoffs.

The product is built around agents that find sales gaps and propose or take actions, so much of the work is making those agents reliable, observable and improvable through evaluations. AI tools speed up coding, but judgment about system design, data meaning and failure handling stays with the engineer. When something breaks, the person is expected to find the real cause rather than blame the agent.

Working here means hands on time with agent harnesses, tool interfaces, retrieval, evaluations and memory, applied to messy distributor and retailer data for consumer brands. That gives practical grounding in making agents dependable on real business data rather than demos. To prepare, building a small agent that queries a governed dataset and measuring its accuracy would map closely to the work.

• Built agent tools and evals
• Designed data schemas and lineage
• Owned reliability and observability
• Scaled systems at an early startup

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

Corvera provides an artificial intelligence sales and operations platform that turns distributor data into prioritized daily store actions, per the company.