AI Engineer

Role overview

Core responsibilities

• Design and build AI-enabled education software from concept through production use.
• Translate faculty and Center goals into feasible specifications and advise when ideas should be reshaped.
• Maintain software standards, including a shared repository, model-access layer, documentation, and interface text separate from code for bilingual versions.
• Instrument software to capture evidence of impact and advise on useful measurement.
• Deploy, monitor, and support production systems; maintain and improve them over time.
• Manage AI model running costs and handle personal data and credentials to institutional standards.
• Follow applied AI developments and advise on new uses.
• Guide student developers, review their work, contribute to planning and project assessments, and create documentation, guides, and workshops.

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.
• Experience building complete products, including front-end interfaces usable by non-technical users.
• Practical experience with prompt and agent design, retrieval over documents and structured data, model evaluation, and user-facing AI guardrails.
• Deployment and operations skills covering hosting, releases, monitoring, and sustained reliability.
• Sound personal data and credential handling, including access control and secrets management, and understanding of institutional personal-record obligations.
• Ability to meet WCAG 2.1 AA accessibility standards and work effectively with non-technical subject-matter experts.
• 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, or software used in teaching.
• Preferred experience includes LLM workload cost management, systems for concentrated demand, software instrumentation, institutional integrations, or 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 is occasionally required.

Position terms

• The role is full-time and fixed-term, beginning with a three-month contract with potential transition to a one-year contract.

Location

• The position is based in Doha, Qatar.

Benefits

• Benefits-eligible employees receive medical, prescription, dental, and vision insurance, retirement savings contributions, tuition benefits, paid time off, holidays, and life and disability insurance.
• Additional benefits described include transit access, family concierge support, and fitness center access.

Application materials

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