Senior Software Engineer - Agentic Infra & Production AI

Meta; United States; Remote; USD 250,000 - 350,000; Full time

Job summary

Meta is seeking an experienced Software Engineer to build AI agents for production reliability at scale. You will design, prototype, and ship agentic systems that autonomously investigate incidents, identify root causes, and execute safe mitigation with human supervision.

The role blends large-scale distributed systems, AI tuning, and observability to improve agent accuracy and real-world impact. You will work hands-on from architecture to production deployment at Meta scale.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• 12+ years of software engineering experience in distributed or infrastructure systems.
• Experience leading multi-year engineering efforts and setting technical direction.
• Experience applying AI/ML to production problems.
• Proven production deployment experience and measurable impact.
• Experience diagnosing production systems using telemetry, configuration, and dependency information.
• Proficiency in languages like C++, Java, Python, Rust.
• Hands-on with production systems from architecture to implementation.
• Experience influencing senior engineers without direct authority.
• Experience building hyperscale, reliable, low-latency systems.
• Experience improving AI agent quality via eval, RL, fine-tuning, distillation, or model-serving optimization.

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 improvements in agent reasoning, context, tool use, planning, evaluation, learning, and safe execution.
• Explore techniques like fine-tuning, reinforcement learning, distillation, and pruning for gains.
• Identify high-value AI applications across incident prevention, detection, and observability.
• Move from problems to prototypes, validate with real workloads, scale to production.
• Build evaluation and experimentation systems linking agent quality to outcomes.
• Create closed-loop improvements turning outcomes into evaluations and experiments.
• Establish architectures and guardrails for production actions with oversight.
• Collaborate with Infrastructure, AI, Product, Reliability leaders to integrate agentic capabilities.
• Mentor engineers across distributed systems and applied AI.

Skills

Distributed systems

Incident response

Applied AI

Production engineering

C++, Python

Leadership

Mentoring

Debugging

Education

Bachelor's degree in CS/CE or related field

Job description

Meta is seeking an experienced Software Engineer to build AI agents for production reliability at scale. You will design, prototype, and ship agentic systems that autonomously investigate incidents, identify root causes, and execute safe mitigation with human supervision.

The role blends large-scale distributed systems, AI tuning, and observability to improve agent accuracy and real-world impact. You will work hands-on from architecture to production deployment at Meta scale.