Senior Infra AI Engineer: Production Reliability & Autonomy

Meta Careers; United States; Remote; USD 180,000 - 280,000; Full time

Job summary

Meta Platforms, Inc. is seeking an experienced Software Engineer to build the next generation of AI systems for production reliability.

You will lead the development of an AI agent that autonomously investigates production incidents, identifies root causes, and executes safe mitigation plans with human supervision. You will work at the intersection of distributed systems, incident response, and applied AI, prototyping, building, and shipping production-grade systems that learn from outcomes and

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering or equivalent.
• 12+ years of software engineering experience in large-scale distributed or infrastructure systems.
• Experience applying AI/ML to production problems and moving concepts to production deployments.

Responsibilities

• Prototype, build, evaluate, and ship AI systems with production data.
• Lead development of an AI agent to autonomously investigate incidents and mitigate risks.
• Improve agent accuracy and autonomy, and push improvements across incident prevention and observability.

Skills

Distributed systems

AI/ML in production

Technical leadership

Telemetry analysis

Reliability engineering

Observability

System safety & rollback

Self-improving systems

Experimentation & debugging

Production coding

Programming languages

Education

Bachelor's degree in CS/CE or related field

Tools

C++

Java

Python

Rust

Job description

Meta Platforms, Inc. is seeking an experienced Software Engineer to build the next generation of AI systems for production reliability.

You will lead the development of an AI agent that autonomously investigates production incidents, identifies root causes, and executes safe mitigation plans with human supervision. You will work at the intersection of distributed systems, incident response, and applied AI, prototyping, building, and shipping production-grade systems that learn from outcomes and