AI Engineer

Role overview

Responsibilities

• Design and build AI-enabled software for teaching, learning, and business education from concept through real use.
• Translate faculty and leadership goals into feasible specifications and advise when ideas should be reshaped or narrowed.
• Maintain a shared code repository, model-access layer, documentation practice, and interface text separated from code for future bilingual versions.
• Instrument software to capture evidence of effects and advise on useful measures.
• Deploy, monitor, and support production systems; maintain and improve them over time.
• Manage AI model usage costs and handle personal data and credentials to institutional standards.
• Follow applied AI developments and advise on opportunities to use new capabilities.
• Guide student developers, review their work, and contribute to planning and project assessments.
• Develop documentation, guides, and workshops for the Center’s tools.

Required qualifications

• Bachelor’s degree in computer science, software engineering, or a related field.
• At least three years of professional software development experience, including an LLM application taken into real use.
• Ability to build complete products, including front-end web interfaces that non-technical users can operate unaided.
• Practical experience with prompt and agent design, retrieval over documents and structured data, model evaluation, and user-facing AI guardrails.
• Deployment and operational competence in hosting, releases, monitoring, and sustained reliability.
• Sound personal-data and credential handling, including access control and secrets management, plus working understanding of institutional obligations for personal records.
• Ability to build to WCAG 2.1 AA accessibility standards.
• Ability to collaborate with non-technical experts, translate goals into specifications, and constructively assess proposed designs.
• Disciplined version control, code review, and documentation practices.
• Successful completion of a pre-employment background check.

Preferred qualifications

• A master’s degree is preferred.
• Preferred experience includes educational technology, learning analytics, teaching software, LLM workload cost management, high-concurrency systems, usage-data instrumentation, institutional integrations such as single sign-on or LTI, and mentoring junior developers or student staff.

Schedule

• Typical schedule is Sunday through Thursday, 8:30 a.m. to 5:00 p.m.
• An alternate schedule involving evening and weekend hours may occasionally be required.

Contract and benefits

• The position is based in Doha, Qatar, and begins with a three-month contract, with potential transition to a one-year contract.
• The posting describes benefits for eligible employees, including insurance, retirement savings, tuition benefits, paid time off, holidays, and other perks.

Application materials

• Applicants must submit a cover letter, curriculum vitae, evidence of software built and taken into real use, and contact information for two references.