Founding Engineer

Role: Founding Engineer

Location: Remote across the US

Compensation: up to $200,000 + meaningful equity

Every company is racing to adopt AI. Employees are running agents, coding assistants and MCP servers on their own machines faster than security teams can see them, let alone govern them.

My client is closing that gap. They’re an accelerator-backed AI security company that recently closed its seed round. Their platform finds and controls AI where it’s actually used: on the employee’s device. They came out of stealth this year, already run dozens of active pilots with well-known tech companies, and are moving upmarket fast.

What You'll Do:

• Own a meaningful part of the product end to end, from design through production
• Build and scale backend services in Go (the whole stack is Go) and Node.js
• Work across the device agent, the policy-enforcement proxy, the backend platform, the detection pipeline and open-source security tools
• Build AI-powered detection with LLMs and small, task-specific models, and harden it for enterprise scale
• Own cloud infrastructure (AWS, GCP or Azure), including deployment, reliability and cost
• Set the engineering bar for architecture, code review and the practices future hires will inherit
• Talk to customers directly (about 2–3 calls a week) and let their feedback shape what you build

What We're Looking For:

• 1–5 years of backend or AI engineering experience, ideally at high-growth tech startups or major tech companies (will take strong grads too)
• Strong Go skills
• Hands-on cloud experience: you’ve deployed, run and debugged what you built
• Production experience with LLMs and APIs, not just prototypes
• You can take a rough direction and ship it on your own, without hand-holding
• You use AI coding tools well and fully understand the code you ship
• You communicate crisply and can explain technical ideas to non-technical people
• Entrepreneurial: you’d like to start a company one day, and this is the place to learn how

If you're excited to work on a deeply technical, high-stakes AI problem with huge ownership and equity upside, apply below!