Software Engineer
Build the workspace where AI agents are built and fixed
TL;DR
We're hiring a Software Engineer to help build and scale Neatlogs: features, integrations, and the glue that keeps agent runs easy to search and debug. You'll work closely with the lead backend engineer and the founder, see the whole system, and ship code that real AI teams rely on every week.
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 work directly with the founder and the lead backend engineer. You will see the full system, not just one microservice.
- 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
- Build backend features for Neatlogs under guidance from the lead software engineer. This means APIs, small services, data models, and background jobs.
- Work on integrations with agent frameworks like LangGraph and CrewAI, and tools like Slack and Notion.
- Help keep the system simple, fast, and safe as we onboard larger teams and enterprises.
- Add useful logs, metrics, and alerts. Help debug and fix issues when they show up.
- Read code, write tests, and learn the standards we use so the codebase stays small and clear.
- Watch how real users work with the product and look at the logs. Fix small sharp edges, even if they are not yet in a ticket.
You might be a good fit if…
- You have 2 to 4 years of experience writing backend code for real products.
- You are comfortable with Python and Postgres, and you are open to working with FastAPI, TypeScript, and vector databases.
- You have built and shipped at least one project end to end, at work or as a side project.
- 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, and want to learn this space in depth.
- You like early stage work where you can ship something this week, see how users react, and improve 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 in Gurgaon 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.