Job Title: AI Solutions Engineer

Company Name: Runpoint

Job Url: https://runpoint.ai/jobs

Job Description: You were already good at your job before AI. Now you feel like you have superpowers — and you can't believe how many people are still ignoring this. You've stayed up too late building something nobody asked you to build, not because you had to, but because you couldn't stop. You've felt the momentum of shipping something in an afternoon that would have taken a team two sprints.

You didn't go to school for just one thing. Maybe you have an MBA and taught yourself to code. Maybe you're an engineer who got pulled into product or strategy because you kept asking "but why are we building this?" Maybe you worked at a consultancy or agency and got tired of selling decks instead of shipping software. You bring a perspective that's hard to hire for because it wasn't a major and it isn't a job title.

You have business acumen, technical chops, and taste — and you know that last one is the rarest. You can tell when AI output is good enough to ship and when it's slop. You know that the hard part isn't getting AI to generate something — it's knowing what to build in the first place.

You don't have a bullshit job. You refuse to.

What you'll actually do:
Embed with a client. Understand their business in the first week. Identify the highest-leverage problems. Build working AI systems — not prototypes, not proofs of concept — that ship to production and measurably move the needle. You'll manage AI agents, not people. You'll own outcomes, not tickets. Some weeks you'll be in the terminal all day. Other weeks you'll be interviewing stakeholders and redesigning workflows. Most weeks, both.

What we need
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You've built multiple somethings with AI tools in the last 6 months. Not theorized. Built.
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You can hold your own in a boardroom and in a terminal. Truly both.
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Consulting, product, or strategy background — you pull apart business problems, not just technical ones.
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Enough technical depth to review a PR, read an architecture diagram, and know when to call in reinforcements.
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A generalist who gets uncomfortable in a box.
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Relentlessly curious. Side projects. Tinkering. Breaking things on weekends.
Not looking for
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People who need to be told what to do next.
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People who find comfort in a narrow role definition.
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People who think "strategy" means making slides.
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People whose last side project was in college.
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People who have internalized that seniority means you stop building.
Comp & structure:
$120K base as a 1099 contractor. Variable comp tied to client revenue — realistic target of $250K+ in year one. Profit sharing that scales as the firm grows. This is a partner-track role. Early team members will have disproportionate upside. Fully remote. We meet in person quarterly.

What you actually get:
Max-tier subscriptions

to whatever AI tools you need — Claude Pro Max, OpenAI Pro, Gemini, whatever comes next. We don't cheap out on the tools that make you dangerous.

Real autonomy.

No ticket queues. No sprint planning theater. You own the problem and the solution. If you think the right move is to rebuild the client's entire onboarding flow on a Tuesday, you make that call.

Work at the frontier.

This isn't maintenance work. You'll be pushing what's possible with AI agents, automation, and human-AI collaboration — often before best practices even exist. You'll be writing the playbook, not following one.

Interesting problems.

Every client is a different business, a different industry, a different set of constraints. You'll never do the same project twice.

A team that builds.

Small crew of people who are all builders. No managers. No overhead. Collaborators who make each other sharper. Weekly show-and-tell of what we're shipping, not status updates.

Ground floor of something real.