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Sabbar

AI Engineer

Hays
Dammam, KSA
Full-time
Mid · 5–10 years experience
Onsite
Discovered 5 days ago
azurepythontypescript

Full Job Posting

About the Role

Hays is seeking an AI Engineer to join a client's newly established Data & AI Office in Dammam, Eastern region. This full-time position involves taking ownership of building, hardening, and scaling production-grade AI applications within an enterprise Azure environment. The role requires 5-10 years of experience.

Key Responsibilities

  • Architect and deploy production RAG services, vector store integrations, and multi-agent orchestrations, including task decomposition, tool calling, and state management, in collaboration with specialist partners.
  • Develop robust Python microservices/APIs and functional TypeScript/React interfaces for investment professionals, covering full-stack engineering requirements.
  • Build model-agnostic inference wrappers, automated failover routing, parameterized guardrail modules, and cost/token control gateways.
  • Implement prompt-injection defenses, schema-allowlisted read-only queries, managed identities, private networking, and change-managed CI/CD pipelines to ensure security and governance.

Qualifications and Experience

  • A minimum of 5 to 10 years of experience in AI engineering or a related technical field.
  • Demonstrated ability to build, harden, and scale production-grade AI applications.
  • Experience with RAG services, multi-agent systems, and enterprise Azure environments.
  • Proficiency in Python for microservices/APIs and TypeScript/React for front-end development.
  • Compensation and Benefits
  • The position offers a competitive monthly salary package. Compensation is tax-free in Dammam, Saudi Arabia. The benefits package includes visa sponsorship, relocation support, and comprehensive family medical insurance.

Work Environment

  • This role is based in Dammam, Saudi Arabia, and is a full-time position. The successful candidate will be one of the first technical hires in a newly established Data & AI Office, contributing to setting firm-wide engineering standards for AI.

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