Founding Engineer

About Closai

Closai is building the consumer purchase infrastructure for the future of commerce. We offer the first SKU-level, cross-brand data layer that's user-permissioned and portable anywhere. The product is two-sided: for consumers, it's a secure layer connecting their purchase history to their favorite agent, app or retailer. For enterprise, it's the infrastructure layer they plug into to see verified, cross-brand purchase signal and the intelligence they rely on to deliver individualized shopping experiences at scale. We operate at the intersection of AI, data infrastructure, and commerce.

About the Role

We’re looking for a Founding Engineer to own Closai’s technical architecture end-to-end and help define the standard for purchase history intelligence. This is a hands-on role. You'll architect, code, and ship the systems enterprise partners depend on, alongside the founder and CEO, while shaping the company's long-term technical vision.

What You’ll Own:

• Core backend architecture (APIs, data models, security)
• Purchase history intelligence pipelines (ingestion, normalization, enrichment)
• Enterprise integrations (Shopify app, universal retail/API/MCP connectors) built for fast, trustworthy onboarding
• Scalability, reliability and data privacy (performance, uptime, and permissioning)
• Technical roadmap aligned with enterprise SaaS and platform monetization
• Building an AI-native engineering and business culture from the ground up

Technical Skills:

Backend & Infrastructure:

• Python (preferred) or Node.js, REST and/or GraphQL APIs, PostgreSQL or similar relational databases
• Cloud infrastructure (AWS or GCP)
• Authentication & authorization (OAuth, JWT, scoped access)
• E-commerce platform integrations (Shopify preferred) and building third-party app integrations
• Designing for horizontal scale (caching, queuing, rate limiting, multi-tenant data isolation)

Data & AI

• ETL and data pipeline design for messy, real-world data
• Embeddings, vector databases and semantic search
• Working with LLMs or ML systems in production
• Enterprise-ready pipelines and APIs built to meet enterprise reliability, SLA, and security-review expectations

Product Engineering

• Shipping consumer- and enterprise-facing products end-to-end
• Strong intuition for user experience (UX) and developer experience (DX)

Compensation: Base salary, meaningful equity + long-term upside