Founding Engineer

We are hiring a founding engineer. Interested?

Reach out to [email protected] (with your CV and something cool you’ve built)

📍Ghent (Dok-Noord)

🦄 Funded by Antler

🚀 First employee - “ride or die” vibes

🤑 Competitive salary & ESOP

👋 Reach out to [email protected]

Company Description

asksara.ai is building an AI-powered platform that helps industrial service teams fix machines faster. Funded by Antler, growing fast and looking to scale our product & company to the next level.

Today, service teams rely on knowledge scattered across manuals, service history, technician notes, parts catalogs, error codes, and schematics. Sara turns that information into practical, reliable support that reduces downtime, improves first-time fix rates, and helps teams find the right parts faster.

We are looking for a founding engineer to scale our existing product into reliable, production-ready software. Someone who owns the core product, document and data infrastructure, cloud foundation, and AI-powered user experience.

What You’ll Do

Own and scale the product

Own the backend and customer-facing product: workflows, integrations, and the systems that make service knowledge usable in the field

Build the AI foundation

Help us build state of the art AI products to help industrial service teams day to day. Build cutting-edge AI that makes blue-collar work faster, smarter, and easier

Set the engineering foundation

Shape architecture, cloud infrastructure, reliability, monitoring, and technical standards as the product scales

This Role Is Not

• A maintenance job fixing bugs on a static product
• A role where the playbook is already written. You’ll help write it, with real ownership over what we build and how we build it

You’re Likely A Fit If You

• Have built and scaled B2B SaaS, AI products, or data-heavy systems
• Are strong in Python, SQL, Node.js, TypeScript, React, and React Native, with experience in (vector-) databases, LLMs, and cloud infrastructure; Google Cloud experience is a plus
• Can build reliable AI products with LLMs from messy, unstructured technical information (incl. visuals like schematics)
• Are native with AI coding agents and agent orchestration
• Want ownership, impact, and the chance to shape an early engineering team