AI Support Engineer

Posted 18 Days Ago
Be an Early Applicant
Abu Dhabi, ARE
In-Office
Mid level
Software • Database • Analytics
The Role
The AI Support Engineer focuses on supporting AI models, incidents, and APIs, ensuring operational reliability and governance while addressing service disruptions and monitoring performance metrics.
Summary Generated by Built In

AI Support Engineer

Job Type: Full-time
Work Mode: Onsite (Candidates outside UAE must be willing to relocate)

Role Overview
The AI Support Engineer provides first-line operational support for AI platforms, AI models, APIs, and AI-powered applications in production. The role focuses on monitoring AI services, troubleshooting model/API issues, supporting integrations, and escalating incidents to engineering or platform teams.

Key Responsibilities

• Support AI model consumption including LLMs, embeddings, OCR, STT/TTS, and inference APIs
• Troubleshoot API errors, latency issues, malformed requests, and authentication failures (OAuth, tokens, API keys)
• Monitor token consumption and identify abnormal usage or quota issues
• Monitor and troubleshoot RAG pipelines, embedding generation, indexing, and ingestion workflows
• Identify issues affecting vector databases and escalate infrastructure problems to DevOps teams
• Ensure AI service usage follows governance policies, rate limits, and access controls
• Act as first responder for AI-related incidents (P0–P3) and perform initial triage using logs and monitoring dashboards
• Escalate complex issues to engineering teams with diagnostic context and track incidents through resolution
• Perform validation checks after AI model or API releases and monitor deployments for anomalies
• Support enterprise integrations such as Microsoft 365, SharePoint, Teams, Oracle, and Jira
• Monitor API performance metrics including latency, error rates, throughput, and service availability
• Maintain troubleshooting runbooks, support documentation, and incident RCA reports

Required Skills

• Experience supporting REST APIs and API-based platforms
• Understanding of LLM usage patterns such as RAG, embeddings, and inference APIs
• Familiarity with authentication mechanisms (OAuth2, API keys, token-based access)
• Ability to troubleshoot using logs, traces, and monitoring dashboards
• Experience with monitoring tools such as Azure Monitor, Dynatrace, or Grafana
• Basic understanding of cloud environments such as Microsoft Azure
• Understanding of API governance, rate limiting, and quotas

Experience

• 3–8 years of experience in AI platform support, API support, SaaS support, or application operations
• Experience supporting AI/ML services or developer platforms preferred
• Experience working with enterprise integrations and vendors is a plus
• Arabic language skills are an advantage

Top Skills

AI
Azure Monitor
Cloud Environments
Dynatrace
Grafana
JIRA
Microsoft 365
Oauth2
Oracle
Rest Apis
Sharepoint
Teams
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The Company
Andover, MA
324 Employees
Year Founded: 2007

What We Do

NorthBay is an AWS Premier Partner focused on Database & Application migrations, data & analytics, DevOps & DataOps, application modernization and ML/Ai. Our practice areas include big data and analytics, machine learning, artificial intelligence and database migrations.

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