Sazabi Logo

Sazabi

Software Engineer, Agents

Posted 5 Hours Ago
In-Office or Remote
2 Locations
Mid level
In-Office or Remote
2 Locations
Mid level
The Software Engineer will develop AI agents for Sazabi, focusing on anomaly detection, root cause analysis, and improving workflow reliability. Responsibilities include prototyping, system design, and working with LLMs.
The summary above was generated by AI
What we're building

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.

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

What we'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

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?

You can find out more about us here:

  • Watch our launch video

  • Read the manifesto

  • Follow us on X and LinkedIn

The Sazabi philosophy

Sazabi is more than just a tool. It’s also a philosophy. We're taking a radically different approach to observability, centered on three big ideas:

  1. Less is more. Most observability platforms drown you in dashboards and modules that you don’t need. We believe observability needs less UI, not more. Sazabi surfaces exactly the information you need in a simple, beautiful chat interface.

  2. Logs are all you need. The “three pillars of observability” idea is outdated. Sazabi accepts only one kind of telemetry: logs. This simplifies the instrumentation and product experience dramatically.

  3. Monitoring is dead. Creating and maintaining static alerts for a fast-evolving system is a fool’s errand. The future is agentic anomaly detection: AI agents that automatically check your app for issues 24-7.

We came to these beliefs the hard way — after years of building infrastructure and responding to incidents with tools that offered plenty of bells and whistles, but no clear answers when it counted most.

If this way of thinking resonates with you, come build with us.

Similar Jobs

16 Days Ago
Remote
USA
Senior level
Senior level
Artificial Intelligence • Machine Learning • Software • Defense
Design and build agent-powered mission consoles, collaborate with stakeholders to improve user workflows, and maintain agentic workflows for mission outcomes.
Top Skills: AWSNode.jsPostgresPythonReactTailwindTypescript
24 Days Ago
Remote
USA
Senior level
Senior level
Artificial Intelligence • Machine Learning • Software • Defense
As a Senior Software Engineer, you will design best practices for AI Agents, develop standards, collaborate on product opportunities, and stay updated on emerging Agent techniques.
Top Skills: Agent FrameworksAPIsClaude SdkCloud InfrastructureDistributed SystemsGoogle AdkLanggraph
3 Days Ago
In-Office or Remote
124K-228K Annually
Mid level
124K-228K Annually
Mid level
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Design and deploy AI-native software products that analyze geospatial data, implement multi-agent workflows, and integrate large language models for decision-making.
Top Skills: AWSClaudeCodexGeminiGoogle AdkGCPGpt-4JavaScriptLangchainLanggraphPython

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account