AI Builders focusing on AI Engineering and Human Productivity, developing prototypes and enhancing client workflows. Balancing both technical and consulting aspects to deliver effective AI solutions.
Responsibilities
AI Builders sit at the intersection of Tomoro's two practices: AI Engineering and Human Productivity.
Some weeks you're shipping a prototype.
Other weeks you're embedded with a client team, finding the workflow that AI should own.
You need to be good at both.
You are not a software engineer. You are not a management consultant. You are both and neither.
You use AI agents as your primary tool for building, and you use consulting instincts to work out what's worth building in the first place.
Requirements
Take a client problem from brief to working prototype, fast — days, not months
Use AI-assisted development tools (Claude Code, Cursor, Codex) as your default way of building
Work across modalities: LLMs, image generation, voice, video, and whatever comes next
Make product and design decisions — what should this be, how should it feel, is it good enough to put in front of a client
Ship deployed prototypes, not slide decks
Extract and apply brand identity from public sources and client materials
Embed with client teams to observe how work actually happens — not how they describe it
Find high-value workflow opportunities: where AI removes work, improves work, or makes new work possible
Run discovery conversations that get to the root of how someone spends their time
Work autonomously: find what's needed, go get the information, make it happen
You default to AI. Not as a novelty, but as how you work. You use agents to research, build, write, analyse, and ship. You know when the agent is helping and when it's hallucinating. You iterate fast, verify intelligently, and treat outputs as drafts to shape — not answers to accept.
You care about the quality of what you make. Not just whether it works, but whether it's good — whether someone using it would feel something. You make intentional design choices. You know when to stop.
You can walk into a room where nobody has a clear brief and leave with a plan. You ask sharp questions. You listen for what people aren't saying. You find the highest-value problem, not just the most obvious one.
You know what's out there. Not just LLMs — image, video, 3D, voice, music, world models. You've tried them. You have opinions. You can connect that knowledge to real applications: not 'I know about Sora' but 'here's what you could build with it for this client.'
The answer is rarely handed to you. You work it out. You dig, hustle, and figure things out on your own. When you hit a wall, you find another way around it. You don't wait for permission or perfect information.
Benefits
Holiday entitlement of 25 days + bank holidays
Aviva Private medical insurance
Medicash wellness cash plan to help cover the cost of everyday healthcare needs
Life Policy
Employee Assistance Programme with access to 24/7 helpline for in-the-moment support from qualified BACP counsellors
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