Principal AI Reliability Engineer – Production Agentics

Meta; Lincoln (NE); On-site; USD 271,000 - 347,000; Full time

Job summary

Meta is seeking an experienced Software Engineer to build the next generation of AI systems for production reliability at scale. You will prototype, build, and ship agentic systems that autonomously investigate incidents and mitigate them under human supervision.

Work spans distributed systems, incident response, observability, and infrastructure operations. You will refine architectures, safety guardrails, and tooling, while delivering production-ready systems at Meta scale.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering or equivalent.
• 12+ years of software engineering experience.
• Experience setting technical direction and leading multi-year engineering efforts.
• Experience applying AI or machine learning systems to production problems.
• Proven production deployment and measurable impact.
• Experience diagnosing complex production systems using telemetry, code, configuration, and dependency information.
• Proficient in C++, Java, Python, Rust or equivalent.
• Hands-on experience moving between architecture, experimentation, debugging, and implementation.
• Experience influencing senior engineers without direct authority.

Responsibilities

• Define the technical vision and architecture for agentic reliability systems across Meta.
• Personally design, code, and ship production agentic systems for complex infrastructure problems.
• Lead the development of an AI agent for production incident investigation and mitigation.
• Develop major improvements in agent reasoning, context, tool use, planning, evaluation, learning, and safe execution.
• Explore techniques including 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.
• Move rapidly from ambiguous problems to prototypes and validate against real production workloads.
• Build evaluation and experimentation systems that connect agent quality to outcomes.
• Build closed-loop improvement systems from production outcomes.
• Establish architectures and guardrails for production actions with oversight.
• Partner with Infrastructure, AI, Product, and Reliability leaders to integrate agentic capabilities.
• Mentor other engineers working on distributed systems and applied AI.

Skills

12+ years software engineering

Leading complex engineering efforts

Applying AI in production

Production deployment experience

Languages: C++, Java, Python, Rust

Influencing without authority

Hands-on production systems

Education

Bachelor's degree in Computer Science, Computer Engineering, or equivalent

Job description

Meta is seeking an experienced Software Engineer to build the next generation of AI systems for production reliability at scale. You will prototype, build, and ship agentic systems that autonomously investigate incidents and mitigate them under human supervision.

Work spans distributed systems, incident response, observability, and infrastructure operations. You will refine architectures, safety guardrails, and tooling, while delivering production-ready systems at Meta scale.