QuSecure is a cybersecurity company focused on protecting critical infrastructure and enterprise networks against quantum computing threats. They are seeking an AI Automation Engineer who will design and build AI-powered automation systems, connect various systems via APIs, and convert workflows into repeatable AI-centered systems.
Responsibilities:
- Design and build AI-powered automation systems that eliminate manual operational work
- Take loosely defined problems from leadership and turn them into working, documented solutions
- Build for durability from day one: repos, documentation, clear ownership
- Connect systems across our stack (HubSpot, Monday, and others) via APIs as needed
- Build internal dashboards pulling from live, multi-source data
- Make data trustworthy: identify unreliable metrics and fix them at the source
- Convert high-friction workflows into repeatable, AI-centered systems
- Identify and improve fragile or undocumented V1s in the current stack
- Create documentation that a non-engineer can follow and use
- Use Claude and AI tooling as a core building material for designing smarter systems
- Bring genuine prompt engineering judgment to the work: know when AI is helping, how the algorithms are designed, when it's hallucinating, and when to override it
Requirements:
- Solid software engineering background: you write code you can explain it in plain English
- Portfolio of shipped, running systems that other people actually use
- Real API integration experience: auth, transforms, error handling, the whole thing
- Prompt engineering in practice
- Extreme attention to detail: you catch edge cases, your documentation is accurate, your outputs don't have avoidable errors
- Strong written communication: you can explain what you built to someone non-technical without hand-waving
- Autonomous execution: you take direction, scope the work, and ship without constant oversight
- Experience with HubSpot, Monday.com, or similar platforms
- Background in operations, marketing, or revenue tech stacks
- Experience building internal tools or dashboards for non-technical users