About the Role
Join an early engineering team building AI-native data and software systems for consumer packaged goods and other physical brands. This hands-on, cross-stack role combines customer collaboration with foundational platform work and production AI agents.
What You'll Do
Build and deploy evaluation platforms that create fast feedback loops around product outcomes.
Develop foundational data infrastructure for single-tenant and multi-tenant deployments at terabyte scale.
Own end-to-end delivery of production agents for customer use cases.
Design a context layer that captures how companies operate and supports their workflows.
Work directly with customers to understand business goals and translate them into product capabilities.
Help shape engineering practices, product direction, and team culture.
What We're Looking For
At least 3 years of backend or full-stack engineering experience, with strong debugging skills in production environments.
Experience with Python or another server-side language, plus TypeScript and customer-facing product development.
Familiarity with data pipelines, data extraction systems, and cross-stack technical design.
Fluency with AI-native development tools and workflows, including coding agents and tool integrations.
Strong CS fundamentals, demonstrated through education or equivalent software engineering experience.
Experience in a high-engineering-bar environment, or as a founder or founding engineer at a venture-backed startup with demonstrated traction.
Experience with payment systems or agent architectures is a plus.
Compensation & Benefits
Base salary: $150,000 to $250,000 USD annually. Visa sponsorship is not available.
Location
On-site in New York, New York, United States.