Technical lead role
Systems and DevOps
You own the technical side of the whole organisation: the tools, workflows and infrastructure of every project, so that it stays simple, solid and token efficient.
Careers
At Brain Plus AI, AI agents do a large share of the work: they write, code, research and monitor. Before opening a role, we ask what the agents can do on their own. The roles below are what remains: judgement, coordination and answering for the result in front of our clients.
Two roles that hold the technical side of the whole: the systems and tools shared by every project, and the architecture of our online stores.
Technical lead role
You own the technical side of the whole organisation: the tools, workflows and infrastructure of every project, so that it stays simple, solid and token efficient.
Technical lead role
You design and take ownership of the architecture of the stores we acquire, from Shopify or PrestaShop to an AI ready Medusa.
Claude is the AI model we work with most, alongside other models chosen by task and cost. The job is not to do everything by hand, nor to let the machine do everything.
Turn a request into tasks precise enough for an agent to carry out.
Give the instructions, run several agents in parallel and choose the right model.
Check, fix and decide what goes to the client. The result carries your name.
Each role combines your craft with running agents. You can apply to more than one.
Claude operator
You run the agents that write our articles, pages and newsletters, and you decide what deserves to be published.
Claude operator
You hand the code to the agents, review every change and own what goes to production.
Claude operator
You build our clients’ n8n workflows and Twenty CRMs, with AI only where a rule is not enough.
Claude operator
You are the client’s contact from scoping to delivery, and you split the work between the agents and the team.
Claude operator
You find the companies our offers save time for, with agents preparing the ground and you leading the conversation.
You have built instructions, workflows or tools that others reuse, not just good questions asked once.
You spot what the agent made up or missed, and you can explain why. The result carries your name, not the agent’s.
We look at what you have learned in recent months as much as at what you already know. This field moves fast.
Through the contact form, with the role already filled in. Add a link to something you have made, with or without AI.
A video call to talk about the role, the way you work and the pay.
A real topic, handled with the tools of your choice. We look at the approach as much as the result: imperfect but well reasoned work beats a polished output with no visible process.
If the exercise works for both of us, you start on a real project.
Write to us in two lines with a link to your work. We answer every application.