AI Engineer

Job Summary

Build and operate production AI and LLM systems on cloud infrastructure, leading a team to deliver domain-specific AI applications with safety guardrails and measurable performance metrics.

Responsibilities

• Build, fine-tune, and evaluate LLM systems for domain-specific tasks using QLoRA/PEFT on open-weight models such as Llama-3 and Mistral.
• Design reproducible evaluation harnesses and A/B test frameworks with tracked metrics including task success rate, safety rate, and latency distributions.
• Architect multi-agent and RAG systems using LangGraph, FastAPI, and vector databases from prototype through production.
• Implement safety guardrails including input/output validation, allowlist/denylist policies, and controls to reduce invalid or high-risk model actions.
• Design and operate cloud infrastructure and MLOps workspaces on Kubernetes and containerized runtimes.
• Build CI/CD pipelines and GitOps-based release promotion across development, test, and production environments.
• Lead and mentor a cloud/AI operations team; define monitoring, incident response, and release governance practices.
• Standardize SDLC practices including branching strategy, PR governance, and release management to improve delivery metrics.

Must haves

• Bachelor’s degree in Software Engineering, Computer Science, or a related field.
• 6–8+ years in software, DevOps, or platform engineering, including at least 2 years in applied AI or ML engineering.
• Proven delivery of production AI/LLM systems, not research or notebook-stage work.
• Strong Python; comfortable with Bash and YAML.
• Deep hands-on experience with Kubernetes, Docker/Podman, and Terraform.
• Production experience with at least one major cloud platform (Azure preferred; OCI or GCP acceptable).

Nice to haves

• Master’s degree in Applied AI, Machine Learning, or a related discipline.
• Fine-tuning experience with QLoRA/LoRA on GPU clusters; PyTorch and Transformers.
• Vector database experience with Milvus, Pinecone, or Weaviate and RAG retrieval design.
• Arabic and English professional proficiency.

We refresh listings regularly, but some roles close early on the source platform.