Software Engineer, Agents Organization

• 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

Our tech

Our stack is TypeScript end-to-end. We use PostgreSQL for relational data, Temporal for durable execution, and the Vercel AI SDK to orchestrate our AI agents against the latest models. At the infrastructure layer, we use Terraform, Kubernetes, and AWS.

Some of the most interesting engineering problems we grapple with are:

• AI agents at production scale
• Log processing at scale
• Multi-region data architecture
• Real-time streaming infrastructure
• Evals and reinforcement learning
• Zero-downtime deployments and fast rollbacks

What we offer

• Competitive salary and equity
• Free lunches (in-office only)
• Health, dental, and vision insurance
• Unlimited paid time off
• Paid parental leave

Learn how we think and work

Our team comes from Brex, Y Combinator, Rootly, Google, Doppel, and other top tech companies. We move fast and hold a high bar for both the product and each other.

We operate according to six values:

1. Integrity. We say what we mean, do what we say, and own our mistakes.
2. Urgency. We treat every week like it matters, because it does.
3. Craftsmanship. We care deeply about the quality of our work.
4. Service. We’re here to make developers’ and our teammates’ lives easier.
5. Kindness. We’re direct, and we move fast, but we treat each other well.
6. Fun. We genuinely enjoy working together. If you don’t love what you’re building and who you’re building it with, what’s the point?

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.

What you’ll do

• 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