1 day ago
Singapore, SingaporeSenior
Responsibilities
- Provide proactive and reactive engineering support for global advertising, messaging, telecommunications, and other business-product partners.
- Manage complex outages, troubleshoot distributed systems and partner integrations, perform root-cause analysis, and drive follow-up improvements.
- Build, launch, optimize, and maintain AI solutions using Llama and other large language models from prototype through production.
- Develop performance monitoring systems for partner integrations and use metrics to improve availability and reliability.
- Collaborate with Platform and Infrastructure teams to investigate issues, align on fixes, and improve products and deployments.
- Provide 24/7 on-call support through a rotation schedule, including weekends.
- Create technical documentation, specifications, guides, and presentations covering complex AI and engineering concepts.
- Analyze trends and opportunities, recommend tactical improvements, manage stakeholder expectations, and mentor other engineers.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- At least 5 years of experience in software engineering, site reliability engineering, or support engineering.
- Experience developing APIs on cloud infrastructure and independently debugging, identifying root causes, and resolving partner-impacting outages.
- Experience with the full web stack, REST APIs, Python, PHP/Hack, JavaScript, and React, including debugging and bug management.
- Knowledge of fine-tuning and optimizing PyTorch models and at least one large language model such as LLaMA, GPT, Claude, or Falcon.
- Experience communicating with technical and business audiences and writing technical documentation.
- Experience using SQL and data analysis to assess, analyze, and resolve operational issues.
- Experience managing concurrent projects and driving cross-functional initiatives.
- Professional working proficiency in English.
- Preferred experience with prompt/context engineering, agent orchestration, large language models, AI agents, cloud platforms, data transformation, model selection and training, responsible AI practices, Kubernetes, Kubeflow, Docker containers, partner-facing engineering, distributed international teams, and AI-driven workflow optimization.
Benefits
- 24/7 on-call support is provided through a rotation schedule that includes weekends.
- The role works with a global team and supports partners across regions and international stakeholders.
Categories
AI ApplicationsSolutions Engineering
About Meta
Meta builds social platforms and communication apps—including Facebook, Instagram, WhatsApp, and Messenger—and develops AR/VR hardware and software such as Quest to power immersive computing. It monetizes primarily through advertising tools for businesses, with additional revenue from devices and services, and operates a massive global infrastructure. Founded in 2004 and headquartered in Menlo Park, California, Meta Platforms, Inc. is a public company traded on Nasdaq under the ticker META.