AI Automation Engineer

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