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Business Support Engineer

Meta· Artificial Intelligence
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Dublin, Ireland, Hybrid (Remote/Hybrid as applicable)Full-timePosted 2mo ago

About the role

Engineer to provide technical and engineering support to Meta’s Advertising partners, customers and clients globally. Work with a global team to deliver proactive and reactive support for partner issues and integrations, coordinate with Platform and Infrastructure teams, and contribute to product roadmaps and AI-driven improvements.

Responsibilities

  • Architect global troubleshooting methodologies and escalation frameworks to enhance the team's operational excellence and engineering standards
  • Co-Lead the team's AI-native technical strategy, driving large-scale adoption of AI tools to transform support workflows and value delivery
  • Build, launch, and optimize complex AI architectures using Llama and other LLMs, owning the full lifecycle from prototype to production
  • Develop performance monitoring systems for partner integrations to ensure high availability; leverage metrics to proactively identify issues and drive improvements across teams
  • Provide 24/7 oncall support coverage via rotation schedule (including weekends)
  • Partner with internal and cross-functional leadership to identify systemic support issues and influence roadmaps with data-driven proposals to eliminate root causes
  • Set technical communication standards, authoring reference architectures, and representing the team internally and externally
  • Manage complex, cross-functional programs while fostering continuous AI/ML learning within the team
  • Lead zero-to-one initiatives, anticipating future platform and partner needs

Qualifications

  • 8+ Years of experience as Software engineering or Site Reliability Engineering background
  • Proven experience in API development on cloud-based infrastructures, able to debug, identify root causes and resolve outages impacting Meta Partners
  • Experience with the full web stack, REST APIs, Python, PHP, and JavaScript/React development, along with debugging and bug management
  • Knowledge of fine-tuning and optimizing PyTorch models and experience with at least one LLM, such as LLaMA, GPT, Claude, or Falcon
  • Experience communicating with technical and business audiences and writing technical documentation
  • Experience in assessing, analyzing, and resolving operational issues using data analysis (SQL)

Skills

Required:API developmentWeb stackAI/ML model fine-tuningTechnical communicationData analysis (SQL)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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