Founding Full-Stack Engineer

Role Overview

As an early engineering hire, you'll help define entirely new patterns for how AI systems access, understand, and act on business data. You'll build and scale core platform services that power context-aware AI systems in production.

What You Will Do

Build and scale core platform services, develop full-stack applications, design and implement semantic query systems, build retrieval systems, and create self-improving data models.

Why It Might Be a Fit

Ideal background includes 3+ years of experience building and shipping production software systems, strong full-stack engineering capabilities, and experience working with LLMs, retrieval systems, and related AI infrastructure.

Requirements

• 3+ years of experience building and shipping production software systems
• Strong full-stack engineering capabilities
• Experience working with LLMs, retrieval systems, embeddings, vector databases, knowledge graphs, or related AI infrastructure
• Hands-on experience deploying machine learning systems in production
• Strong systems-thinking mindset
• Experience operating in ambiguous, fast-moving startup environments
• Excellent communication skills
• High ownership mentality

Benefits

• Competitive base salary: $140K–$220K
• Meaningful early-stage equity ownership
• Direct collaboration with founders, customers, and senior engineering leadership
• Opportunity to help define a new category of AI infrastructure
• Fast-paced, highly iterative environment with significant technical ownership
• In-person engineering culture focused on collaboration, rapid execution, and first-principles thinking
• Significant career growth opportunity as one of the earliest engineering hires