Staff AI Platform Engineer - Abu Dhabi
USD 139K-300K (estimate) Senior-level Full Time
Tasks
- Build CI/CD pipelines
- Build SDKs
- Build document ingestion pipelines
- Build reusable internal tooling
- Build vector infrastructure
- Conduct postmortems
- Create deployment patterns
- Define SLOs
- Define reliability security and scalability standards
- Design model-serving infrastructure
- Develop embedding pipelines
- Develop retrieval systems
- Establish observability across AI stack
- Evaluate emerging technologies
- Implement infrastructure-as-code
- Lead architecture decisions
- Lead reliability engineering initiatives
- Manage data transformation and storage pipelines
- Manage incident response
- Mentor engineers
- Monitor latency throughput and model behavior
- Operate model serving infrastructure
- Own deployment platforms
- Perform capacity planning
- Perform root cause analysis
- Translate infrastructure needs into platform capabilities
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Azure | CI/CD | Distributed tracing | Docker | Entra ID | GPU Inference | GRPC | Go | Grafana | Infrastructure as Code | Java | Kotlin | Kubernetes | LLM Evaluation | Langchain | Langgraph | Logging | Metrics | OpenTelemetry | PGVector | Pinecone | PostgreSQL | Prometheus | Python | Qdrant | RAG | RBAC | RCA | REST | Redis | SLO | Secrets management | Semantic Kernel | TGI | TensorRT-LLM | Terraform | VLLM | Vector Databases | Weaviate | Zero Trust | “as-code”
Education
N/A
Roles
AI | AI Platform Engineer | Backend | Backend Engineer | Engineer | Platform | Platform Engineer
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