Principal AI Reliability Engineer, Production Systems

Meta; Honolulu (HI); On-site; USD 271,000 - 347,000; Full time

Job summary

Meta is seeking an experienced Software Engineer to build AI systems for production reliability at scale. You will prototype and ship an autonomous AI agent that investigates incidents, identifies root causes, and executes safe mitigations under human supervision.

You will work across incident response, observability, and infrastructure operations, improving agent performance, safety, and applicability to production workloads at Meta scale.

Qualifications

• Bachelor's degree in CS/CE or equivalent practical experience.
• 12+ years of software engineering experience with distributed or infrastructure systems.
• Experience moving from concept to production deployment with measurable impact.
• Experience coding in C++, Java, Python, or Rust and shipping complex systems.

Responsibilities

• Define and architect agentic reliability systems for production.
• Design, code, and ship production agentic systems for infrastructure problems.
• Lead development of AI agent for incident investigation and mitigation.
• Improve agent reasoning, context use, planning, and safe execution.
• Build evaluation, experiments and guardrails for production actions.

Skills

Distributed systems expertise

AI/ML in production

Incident response experience

Code prototyping and shipping

Mentoring engineers

Education

Bachelor's degree in CS/CE or equivalent practical experience

12+ years software engineering experience with large-scale systems

Experience moving from concept to production deployment with impact

Experience coding in C++, Java, Python, or Rust

Job description

Meta is seeking an experienced Software Engineer to build AI systems for production reliability at scale. You will prototype and ship an autonomous AI agent that investigates incidents, identifies root causes, and executes safe mitigations under human supervision.

You will work across incident response, observability, and infrastructure operations, improving agent performance, safety, and applicability to production workloads at Meta scale.