Principal AI Reliability Engineer Autonomous Incident Agent

Meta; Hartford (CT); On-site; USD 271,000 - 347,000; Full time

Job summary

Meta seeks an experienced Software Engineer to build next-generation AI systems for production reliability. You will work at the intersection of large-scale distributed systems, incident response, and applied AI, leading the development of an autonomous AI agent that investigates incidents, identifies root causes, and executes safe mitigations under human supervision.

The role combines deep infrastructure expertise with practical AI deployment, requiring hands-on prototyping, evaluation, and

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 12+ years of software engineering experience with large-scale distributed or infrastructure systems.
• Experience setting technical direction and leading complex multi-year engineering efforts.
• Experience applying AI or machine learning systems to production problems.
• Demonstrated experience moving from concept to production deployment and measurable impact.
• Experience diagnosing complex production systems using telemetry, code, configuration, and dependency information.
• Experience coding in languages such as C++, Java, Python, Rust, or equivalent.
• Hands-on experience building and shipping complex production systems across architecture, experimentation, debugging, and implementation.
• Experience influencing senior engineers and leaders without direct authority.

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, tool use, planning, evaluation, learning, and safe execution.
• Explore techniques like fine-tuning, reinforcement learning, distillation, pruning, and inference optimization.
• Identify new high-value applications of AI across incident prevention, detection, mitigation, observability, and infrastructure operations.
• Prototype rapidly, validate against real workloads, and scale successful approaches.
• Build evaluation/experimentation systems connecting agent quality to outcomes.

Skills

Technical leadership

Distributed systems

AI/ML in production

Incident response

Evaluation & experimentation

Education

Bachelor's degree in Computer Science or equivalent

Tools

C++

Java

Python

Rust

Job description

Meta seeks an experienced Software Engineer to build next-generation AI systems for production reliability. You will work at the intersection of large-scale distributed systems, incident response, and applied AI, leading the development of an autonomous AI agent that investigates incidents, identifies root causes, and executes safe mitigations under human supervision.

The role combines deep infrastructure expertise with practical AI deployment, requiring hands-on prototyping, evaluation, and