AI-based full stack observability platform. Backed by Y Combinator.
About the role
Build AI-Powered Remediation Systems: Design and implement machine learning models that can identify, diagnose, and automatically resolve system issues detected by our observability platform. Own the AI/ML Pipeline: Take end-to-end ownership of the AI lifecycle — from data collection and preprocessing to model training, evaluation, and deployment.
What they're looking for
- Engineers with experience building AI products (do side-projects count?)
- Solid software engineering skills: Proficiency in Python and TypeScript
- Systems knowledge: Understanding of observability tools (e.g., Prometheus, OpenTelemetry)
- Owner mindset: Comfortable working in a fast-paced, ambiguous environment with limited structure and high ownership
More about this role
We're looking for a talented and experienced AI/ML founding engineer to join the Middleware team. You'll play a key role in building AI on our observability platform to detect and fix issues automatically. In this role, you’ll be able to design, develop, and deploy intelligent solutions that take action where our platform identifies problems.
We are looking for someone to help us invent the future of DevOps for the AI age.
Build AI-Powered Remediation Systems: Design and implement machine learning models that can identify, diagnose, and automatically resolve system issues detected by our observability platform.
Own the AI/ML Pipeline: Take end-to-end ownership of the AI lifecycle — from data collection and preprocessing to model training, evaluation, and deployment.
Integrate with Observability Stack: Work closely with the core platform team to integrate AI solutions into the existing observability infrastructure (e.g., logs, metrics, traces).
Experiment and Iterate: Rapidly prototype and experiment with different models and approaches (e.g., anomaly detection, root cause analysis, LLM-based insights) to find what works best.
Collaborate Cross-Functionally: Partner with product,...
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