Staff AI Engineer (Observability)

TL;DR

Staff AI Engineer (Observability): Building and delivering high-performance AI-driven features for observability platforms with an accent on incident triage, automated analysis, and LLM-powered workflows. Focus on prototyping, scaling agentic components, and integrating AI solutions into complex infrastructure and developer workflows.

Location: Must be based in the USA (USA time zones only)

Salary: $174,986 - $220,000

Company

hirify.global is the company behind the open observability cloud, providing flexible, scalable tools for monitoring and incident response used by over 35 million users.

What you will do

• Develop high-performance AI features to help users detect, triage, and resolve incidents using observability data.
• Prototype, test, and validate LLM- and agent-powered workflows for incident lifecycle management.
• Collaborate with product managers, designers, and data analysts to integrate agentic components into developer tools.
• Take full ownership of AI solutions, ensuring they are scalable, maintainable, and aligned with user needs.
• Utilize AI tools effectively to enhance both product functionality and internal development workflows.

Requirements

• Must be based in the USA and available during USA time zones.
• Strong experience with LLMs, prompt engineering, and building GenAI-powered applications.
• Proven track record of delivering production-grade software used by real users.
• Experience working in cloud-native environments (AWS, GCP, or Azure).
• Proficiency in using observability tools to troubleshoot system behavior.

Nice to have

• Experience building agent frameworks or multi-agent workflows.
• Familiarity with infrastructure tooling like Kubernetes, Docker, or Terraform.
• Experience with model fine-tuning techniques.
• Background in building observability tooling.

Culture & Benefits

• 100% remote-first company with a global collaborative culture.
• Equity provided via Restricted Stock Units (RSUs) for all team members.
• Global annual leave policy of 30 days per annum, including reserved shutdown days.
• Innovation-driven environment with high autonomy and transparent communication.
• Access to frontier AI models and a company-funded budget for AI-assisted development tools.