Job Description

As an AI Production Engineer at Meta, you will develop and scale production-grade AI systems to enhance executive productivity. This role focuses on software and systems engineering, requiring high-quality code writing, system design, and automation to ensure reliable AI operations.

Requirements

7+ years of experience in Linux/Unix and network fundamentals
7+ years of coding experience in an industry-standard language (e.g., Python, Go, C++, Java, Rust)
Experience with Internet service architecture, capacity planning, and handling needs for urgent capacity augmentation
Knowledge of common web technologies and Internet service architectures (CDN, load balancing, distributed systems)
Experience configuring and running infrastructure-level applications such as Kubernetes, Terraform, and cloud platforms (AWS, Azure, GCP)
Experience building and productionizing AI/ML systems, including LLMs, RAG architectures, inference optimization, and MLOps
Proven track record of leading complex technical initiatives and mentoring other engineers

Responsibilities

Design and implement production-grade AI/ML systems for executive productivity, including LLMs, RAG systems, agents, inference pipelines, and MLOps infrastructure
Write and review code, develop documentation and capacity plans, and debug the hardest problems, live, on complex AI systems serving executive leadership
Build automation, self-healing systems, and CI/CD pipelines to minimize manual intervention and operational toil
Own AI infrastructure—training, inference, data pipelines, and GPU fleet management—across cloud platforms (AWS, Azure, GCP) and Kubernetes
Set technical direction, lead design reviews, mentor engineers, and advise leadership on AI technology trends and trade-offs
Share an on-call rotation (~1 week per quarter) and serve as an escalation contact for critical AI system incidents
Champion reliability by design—building resilience into systems from the start with circuit breakers, fallbacks, and graceful degradation
Travel globally up to 20% of the year to engage with executive partners and scale business opportunities

Benefits

Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.

Is this job posting expired or no longer available?