Staff AI Platform Engineer

Staff AI Platform Engineer - Abu Dhabi

Discover the Opportunity:

We’re partnering with a major government entity in Abu Dhabi that is building large-scale AI infrastructure and next-generation AI platforms to support digital transformation across the public sector.

This role sits within a central AI engineering function responsible for enabling production-grade AI systems at scale, supporting multiple engineering teams through modern platform, infrastructure, and observability capabilities.

This is a staff-level engineering opportunity for someone who enjoys building the foundations that power high-performance AI systems, from GPU inference infrastructure and vector databases through to deployment platforms and developer tooling.

Discover the Responsibilities:

• Design, build, and operate scalable AI platform infrastructure, including model serving, vector databases, embedding pipelines, and compute environments
• Develop and maintain GPU-based inference infrastructure to support low-latency, high-throughput AI workloads in production
• Build and operate data infrastructure including ingestion pipelines, object storage, vector stores, and ETL processes
• Design and maintain deployment platforms using containerisation, CI/CD pipelines, and infrastructure-as-code practices
• Implement observability across AI systems, including telemetry, logging, tracing, alerting, and AI-specific performance monitoring
• Build reusable internal tooling, deployment patterns, and platform abstractions that improve engineering productivity
• Define and enforce platform standards across reliability, scalability, security, and operational excellence
• Partner closely with engineering teams to translate infrastructure requirements into scalable platform capabilities
• Evaluate and implement new platform technologies to ensure long-term scalability and operational efficiency

Discover the Requirements:

• 10+ years of experience in platform engineering, infrastructure engineering, or backend systems engineering
• Strong experience with cloud platforms such as Azure, AWS, or GCP, including compute, networking, storage, and cost optimisation
• Deep expertise in Docker, Kubernetes, and containerised infrastructure supporting AI or high-scale workloads
• Strong experience building and operating CI/CD pipelines and infrastructure-as-code environments
• Experience designing and operating production-grade data pipelines and distributed systems
• Strong programming skills in Python, Java, Go, or similar backend technologies
• Strong understanding of PostgreSQL and production-scale database operations
• Hands-on experience with observability tooling including tracing, logging, metrics, and alerting
• Experience with GPU inference infrastructure, vector databases, RAG pipelines, or AI platform environments is highly desirable
• Strong communication skills with the ability to explain technical decisions, trade-offs, and operational considerations clearly