Lead Software Engineer
Build the workspace where AI agents are built and fixed
TL;DR
We're hiring a Lead Software Engineer to own the core of Neatlogs: the data model, APIs, queues, and the systems that keep traces fast and reliable. You'll be one of the first engineers on the team, working directly with the founder on product decisions and with real users on what needs to exist next.
What is Neatlogs
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:
Why this is a good hill to die on
- Agents are moving into production, but most teams still debug them with log files and chat threads. No one has nailed how agent debugging should work. You will help define that in code: how runs are stored, sliced, searched, analysed and compared.
- You will report to the founder and be the most senior backend engineer for a while. There is very little process. You set the bar for the codebase, the stack, and how we ship.
- No one has built a platform that non technical teams can use and that devs still respect. You will build for both at once. That is a hard engineering problem.
Here's a short deck on our vision:
View the Neatlogs vision deck →How you'll spend your days
- Own the core backend for Neatlogs. This means APIs, data models, queues, and background jobs.
- Build and maintain integrations with agent frameworks like LangGraph and CrewAI, and tools like Slack and Notion.
- Shape the system for scale as we onboard larger teams and enterprises. Keep it simple, fast, and safe.
- Work on the engineering roadmap with the founder. Break work into clear projects and review code from other engineers so the codebase stays small and clear.
- Add the right logs, metrics, and alerts. Handle production issues when they show up.
- Watch how real users work with the product and read the logs. Fix sharp edges even if no one has written a ticket yet.
You might be a good fit if…
- You have at least 6 years of experience building core backend systems.
- You have worked on devtools or other backends that run at real scale.
- You are strong in Python and Postgres, and you can work with FastAPI, TypeScript, and vector databases.
- You have owned a product or large feature from zero to one, as a founder or as an early engineer.
- You are comfortable running and debugging services on a major cloud like AWS, GCP, or Azure.
- You care about open source, AI agents, and better ways for humans to work with AI.
- You like early stage work where you can change the product in a week, not a quarter.
- You have built or shipped agent based automations in production, or you are close to it.
- You treat writing as part of the job. You can explain problems, decisions, and tradeoffs clearly in text so people in other time zones can move without a meeting.
Compensation and how we work
- Salary in line with top product startups, plus stock options that are large enough to matter if this works.
- We work remote first, meet in person when needed, and do regular off sites for a few days so we can plan, hack, and hang out in person.
- Many of our users are AI startups in San Francisco. You will talk to them often, and maybe even visit sometimes.
- We set aside budget each year for books, courses, or conferences you want to attend.
Apply
Email your best work to people@neatlogs.com or send a DM to Ajay.