Staff Software Engineer, Platform - Build the Core of an Enterprise AI Startup

Job Description

Job Description

About the Company

Company Size :

Industry : Agentic AI, Automation, Enterprise Software

Founding Year : 2023

Stage : Early-Stage Startup

Tech Stack : Python, TypeScript, Kubernetes and other leading tools

This early-stage team is building the foundation for enterprise AI—deploying autonomous agents that deliver specialized services with human-level quality. Founded by builders from companies like Google, Databricks, and Canva, they’re moving fast to turn ambitious ideas into real-world systems.

As one of the first platform engineers, you’ll help define, architect, and build the systems that make everything possible. Cognitive agents, context graphs, observability, developer tools—this is zero-to-one, high-ownership work with massive technical depth. You'll be hands-on in setting the technical direction, making foundational choices, and scaling the infrastructure that real-world AI deployments depend on.

What You’ll Tackle :

• Architect and build core platform components—structured context graphs, observability layers, tagging and discovery systems.
• Design scalable APIs and frameworks that drive AI-powered workflows across multiple industries.
• Build bi-directional Git integrations and interfaces that make developer and non-technical user workflows seamless.
• Own platform infrastructure decisions end-to-end—from strategic design to hands-on implementation.
• Collaborate across backend, product, and AI engineering teams to launch high-quality systems fast.

What You'll Bring :

Why You’ll Want to Join :

Compensation is salary range above + meaningful equity in an early-stage venture-backed startup, commensurate with level of experience.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.