About the 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.
Key Responsibilities:
- 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, backend, and DevOps teams to align AI capabilities with user needs and infrastructure realities.
- Set the Technical Direction: As an early technical hire, contribute to foundational architecture decisions and establish best practices for AI/ML within the company.
- Ensure Reliability and Scalability: Build systems that perform reliably at scale and integrate safely into production environments.
- Stay Ahead of the Curve: Keep up with the latest advancements in AI/ML and observability to help shape our product roadmap.
