Rockstar

Founding AI Engineer

Rockstar

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

PrometheusPythonTypeScript

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 the 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 the product roadmap.

Requirements

  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdata collectiondata preprocessingmodel trainingmodel evaluationmodel deploymentanomaly detectionroot cause analysisPythonTypeScript
Soft Skills
collaborationownershipadaptabilityproblem-solvingcommunication