AI Automation Engineer

About This Role

QuSecure is a cybersecurity company protecting critical infrastructure, government, and enterprise networks against the quantum computing threat. We move fast, operate lean, and build for durability. We're looking for an AI Automation Engineer, a genuine software practitioner who builds systems that make the company smarter and faster. Not someone who uses AI as a shortcut. Someone who understands software deeply, designs automation with real engineering judgment, and ships things that hold up. This is not a prompt jockey seat. It's not a "I can build anything with ChatGPT" role. This is for someone who can architect an integration, leverage AI as needed, own it end-to-end, document it properly, and enable business leaders and teams without it falling apart. If your work speaks for itself, we want to meet you.

What You'll Own

Automation Systems

• 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

Integrations & Data

• 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

Process Infrastructure

• 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

AI-Native Development

• 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

What We're Looking For

Must-haves:

• 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

Nice to haves:

• 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

Our Bar For “Genuine Work”

We will review your samples carefully. We're looking for evidence of real engineering judgment:

architecture that reflects actual decisions, documentation that shows care, and systems that

weren't just generated and abandoned.

What we want to see: messy problems solved cleanly, code that reflects tradeoffs,

documentation you wrote because you cared about handoff, not because someone told you to.

How We Hire

1. Application & Work Samples

Submit your resume and 2–3 work samples. Samples should show real systems, real

data, real architecture. Include a brief description of each.

2. Written Screening

A short async questionnaire to understand how you think, build, and solve problems.

3. Interviews

Meet with hiring manager and SME.

4. Take-Home Assignment

A scoped, real-world problem. Approximately 3 to 4 hours. We're evaluating your code

quality, documentation, and decision-making, not speed. Submissions without

documentation will not advance.

Meeting to walk us through your take-home in detail: every decision, every tradeoff.

We'll also go deep on a past system you built.

Engagement Details

• Location: Fully remote

• Structure: Full-time or contract, open to the right fit

• Compensation: $80-130K

• Reports to Chief of Staff

To Apply

Send your resume and 2–3 work samples to careers@qusecure.com. In your

submission, briefly describe each sample: what problem it solved, what the architecture

looks like, and whether it's still running.

Applications without work samples will not be reviewed.

What Will Make You Stand Out

The engineering foundation is non-negotiable, but the candidates who will thrive here will be

more than coders. We seek technical operators: people who build with business outcomes in

mind, communicate what they built to people who don't code, and think about the full system.

You're a generalist at heart. You're comfortable in a technical conversation and a strategy

meeting. You know how to explain what you built and why it matters to a non-technical

stakeholder. You're not waiting for someone to translate your work.

You think in systems, not just software. You see how operations, data, people, and process

connect and you build accordingly. Before you write a line of code, you ask what problem you're

actually solving. You consider who uses the system, how it breaks, and what it costs to maintain

before you ship it.

You have a business brain. You think about impact, not just output. You can connect what you

built to a business result, revenue, cost savings, time saved, pipeline moved. A business

background is a genuine plus here for the lens it brings: business outcomes first, technical

decisions in service of them.

You have an eye for design. Not required, but a real differentiator. Internal tools that look and

feel considered get used. If you naturally think about how a non-technical person will experience

what you built, and your work looks intentional rather than just functional, that matters here.