Lead product engineer to own full lifecycle of AI agent platform - from runtime design to workspace UX to production reliability
About Bolter Bolter is an AI agent platform built to help people get real work done, without needing to stitch together multiple tools or spend weeks setting things up. You describe what you need in plain language and Bolter creates and runs agents that can carry out the work end to end. They retain context, remember how you work and can also create real, shareable apps such as trackers and dashboards. Bolter is funded and currently at the validation-sprint stage, working with a small group of high-impact operators. The product already exists. We are now looking for a founding designer to lead a significant redesign and establish the design foundations for what comes next.
About the role As Bolter's product engineer, you will own the full lifecycle of the product - from rapid prototyping to production - across the agent-building experience, the workspace where people steer their agents, and the applications those agents generate. This is a role for someone who cares as much about the product as the code. You'll work directly with the GM in a lean team, with specialised AI agents supporting implementation. The product is early enough that the core technical decisions are open, and your work will shape how Bolter develops from here. You'll own the three fundamental technical challenges: 1. The agent runtime - creating and running agents end to end Bolter's core promise is that agents carry out real work from a plain-language description. You'll design and build the pipeline that turns a description into a working, reliable agent - one that retains context, remembers how its user works, and produces real, shareable output. 2. The workspace and agent-generated applications People don't just talk to agents; they steer them and use what they produce. You'll build the workspace where users understand, direct and trust their agents, and the infrastructure that lets agents create real, usable apps - trackers, dashboards, tools. 3. Production reliability - making agents trustworthy enough to ship Agents that do real work need to be dependable. You'll own the reliability layer - evals, error handling, and the systems that make agent output something users can actually rely on, not just demo.
What you’ll do
Why you're made for this
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