Senior Infra AI Engineer: Production Reliability Leader

Meta; Dover (DE); Vor Ort; USD 271.000 - 347.000; Vollzeit

Zusammenfassung

Meta is seeking an experienced Software Engineer to build AI-powered reliability tools for large-scale production systems. The role blends distributed systems, incident response, and applied AI to create autonomous agents that investigate incidents, identify root causes, and execute safe mitigations under human supervision.

You will prototype, evaluate, and ship production AI systems, aiming to improve accuracy, autonomy, and real-world impact at Meta scale.

Qualifikationen

• Bachelor's degree or equivalent practical experience.
• 12+ years of software engineering experience in large-scale distributed or infrastructure systems.
• Experience setting technical direction and leading multi-year engineering efforts.
• Experience applying AI or machine learning to production problems.
• Demonstrated experience moving from concept to production deployment with measurable impact.
• Experience diagnosing complex production systems using telemetry and dependency information.
• Experience coding in C++, Java, Python, Rust, or equivalent.
• Recent hands-on experience building and shipping complex production systems.

Aufgaben

• Define the technical vision and architecture for agentic reliability systems.
• 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.
• Improve agent reasoning, context, tool use, planning, evaluation, learning, and safe execution.
• Explore and apply techniques including fine-tuning, reinforcement learning, model routing, distillation, pruning, and inference optimization.
• Identify new high-value applications of AI across incident prevention, detection, mitigation, observability, and infrastructure operations.
• Move rapidly from prototypes to production, validated against real workloads.
• Build evaluation and experimentation systems connecting agent quality to outcomes.
• Establish guardrails for production actions including authorization, validation, audit, rollback, and human oversight.
• Partner with Infrastructure, AI, Product, and Reliability leaders to integrate agentic capabilities into Meta's production ecosystem.
• Influence technical strategy and mentor other engineers in distributed systems and applied AI.

Kenntnisse

C++

Java

Python

Rust

Distributed systems

AI/ML

Telemetry

Ausbildung

Bachelor's degree in CS/related field

Jobbeschreibung

Meta is seeking an experienced Software Engineer to build AI-powered reliability tools for large-scale production systems. The role blends distributed systems, incident response, and applied AI to create autonomous agents that investigate incidents, identify root causes, and execute safe mitigations under human supervision.

You will prototype, evaluate, and ship production AI systems, aiming to improve accuracy, autonomy, and real-world impact at Meta scale.