مهندس ذكاء اصطناعيAI Engineer

Saudi AZM - AI Engineer AI systems Build, fine-tune, and evaluate LLM systems for domain-specific tasks (QLoRA / PEFT on open-weight models such as Llama-3 and Mistral). Design reproducible evaluation harnesses and A/B test frameworks with tracked metrics: task success rate, safety rate, and latency distributions (p50/p95). Architect multi-agent and RAG systems (LangGraph, FastAPI, vector databases) from prototype through production. Implement safety guardrails — input/output validation, allowlist/denylist policies, and controls that reduce invalid or high-risk model actions. Translate business use cases into deployable prototypes with measurable acceptance criteria, and demo them to stakeholders. Platform & infrastructure Design and operate cloud infrastructure and MLOps workspaces (Azure, OCI, or GCP) for AI workloads on Kubernetes and containerized runtimes. Build CI/CD pipelines and GitOps-based release promotion (Argo CD) across development, test, and production environments. Implement end-to-end observability (Azure Monitor, Application Insights, ELK) with defined detection and response targets. Apply network and perimeter security baselines (FW/WAF), automated code qualit