Full time · Founding Team ·
Build the workspace where AI agents are built and fixed
TL;DR:
We’re hiring an AI Engineer to design and ship LLM based workflows in Neatlogs: trace summaries, comparisons, suggestions, and eval flows that make debugging agents less painful. You’ll work directly with the founder and the lead backend engineer to turn messy real world agent runs into clear, useful tools for serious builders.
A specialised workspace for teams that build AI agents.
The problem:
Most debugging tools today are built for infra and AI/ML engineers. They’re hard for business teams to use, even though they’re the only ones with the full context needed to ship AI agents.
So tech and business teams pass agent runs (traces) around in Slack, email, screenshots, and long calls. It‘s a frustratingly slow process, and they end up losing important details. That’s how feedback ends up being vague, and scattered across multiple platforms. And the agents never actually ship (only ~5% of them make it to production).
The fix:
Neatlogs is a shared workspace, built on top of traces. Devs and business teams look at the same trace, see what went wrong, and turn feedback into code changes in minutes (instead of days).
Every wave of tech got its multiplayer workspace. Code got GitHub. Design got Figma.
Agents don't have one yet. That's what Neatlogs is.
We’re a small, focused team with early users and a real product in the wild. We’re backed by top investors from the US, India and Japan.
Here’s a walkthrough of Neatlogs from AI dev tool expert Tyler Reed:
https://www.youtube.com/watch?app=desktop&v=eOiV8qKdxDs