Autonomous alerts. Conversational debugging. Coding agent integrations. Sazabi is a new, AI-first approach to observability. Built for teams who ship fast. Backed by Y Combinator.
About the role
Design systems for anomaly detection, root cause analysis, and automated debugging Work on prompt engineering, tool use, and agent orchestration
What they're looking for
- Strong experience working with LLMs in production (agents, RAG, tool use, etc.)
- Deep curiosity about how and why AI systems fail—and how to fix them
- Ability to prototype quickly and iterate based on real-world feedback
- Strong engineering fundamentals (this is not just prompt hacking)
- Comfort operating in a fast-moving, experimental environment
- Bonus: experience with observability, debugging systems, or developer tools
More about this role
In 2026, we're on the verge of an "infinite software crisis." How will we support, maintain, and operate the explosion in application development?
Our answer is Sazabi: the AI-native observability platform for fast-moving engineering teams.
Sazabi gives teams a single place to ask questions about their production systems in plain language, automatically visualize what's happening, and get to the root cause 10x faster. No tedious instrumentation. No dashboard configuration. No alert tuning. Just answers.
We're backed by tastemakers from the world's top AI companies: Vercel, Graphite, Daytona, Browserbase, LangChain, Mastra, Replit, and more.
Build and iterate on the core AI agents that power Sazabi
Design systems for anomaly detection, root cause analysis, and automated debugging
Work on prompt engineering, tool use, and agent orchestration
Improve reliability, latency, and correctness of AI-driven workflows
Experiment rapidly with new models, frameworks, and techniques
Translate messy real-world production issues into structured AI workflows
Strong experience working with LLMs in production (agents, RAG, tool use, etc.)
Deep curiosity about how and why AI systems fail—and how to...
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