Principal AI Reliability Engineer — Autonomous Incident Agent

Meta; Cheyenne (WY); On-site; USD 271,000 - 347,000; Full time

Job summary

Meta is seeking an experienced Software Engineer to build AI-driven reliability systems at scale, focusing on production incidents and autonomous investigation. You will prototype, evaluate, and ship AI agents with human oversight, collaborating across Infrastructure, AI, Product, and Reliability teams.

The role emphasizes hands-on coding, architecture, and experimentation to improve agent accuracy, autonomy, and real-world impact within Meta's production environment.

Qualifications

• Bachelor's degree or equivalent practical experience in a technical field.
• 12+ years of software engineering experience, including large-scale distributed or infrastructure systems.
• Experience setting technical direction and leading multi-year efforts across teams.
• Experience applying AI or ML systems to production problems.
• Proven track record moving concepts to production deployment and measurable impact.
• Experience diagnosing complex production systems using telemetry, code, config, and dependencies.
• Proficiency in languages such as C++, Java, Python, Rust, or equivalent.
• Hands-on experience building and shipping complex production systems.

Responsibilities

• Define the technical vision and architecture for agentic reliability systems across Meta.
• Design, code, and ship production agentic systems for complex infrastructure problems.
• Lead development of an AI agent for production incident investigation and mitigation.
• Improve agent reasoning, context, tooling, planning, evaluation, learning, and safe execution.
• Explore techniques like fine-tuning, reinforcement learning, distillation, pruning, and inference optimization.
• Identify high-value AI applications across incident prevention, detection, mitigation, observability, and infrastructure operations.
• Prototype rapidly and validate against production workloads; scale successful approaches.
• Build evaluation/experimentation systems linking agent quality to outcomes.
• Create closed-loop improvement systems from production outcomes to agent behavior.

Skills

Distributed systems

Incident response

Applied AI

Leadership

Production systems

Education

Bachelor's degree in Computer Science/Engineering or equivalent

12+ years software engineering experience

Job description

Meta is seeking an experienced Software Engineer to build AI-driven reliability systems at scale, focusing on production incidents and autonomous investigation. You will prototype, evaluate, and ship AI agents with human oversight, collaborating across Infrastructure, AI, Product, and Reliability teams.

The role emphasizes hands-on coding, architecture, and experimentation to improve agent accuracy, autonomy, and real-world impact within Meta's production environment.