AI Engineer

About the role

The QNB Center for Business Innovation at Carnegie Mellon University's Business Administration department in Qatar is looking for an AI Engineer. The engineer is the Center's dedicated technical practitioner, working with faculty and leadership to design and build software that applies artificial intelligence to how business is taught, learned and practiced, such as interactive learning environments, simulations, decision and analysis tools.

Key responsibilities

• Design and build AI-enabled software for teaching, learning and business education, from concept to real-world use.
• Work with faculty and Center leadership to turn educational goals into buildable specifications and advise on scope.
• Maintain technical standards: single code repository, shared model-access layer, documentation separate from code, and bilingual interface text.
• Instrument software to capture evidence of its effect and advise on what can be measured.
• Run systems in production: deployment, monitoring and responsiveness; maintain and improve systems and manage the running costs of AI model usage.
• Follow developments in applied AI and advise the Center on new capabilities.
• Guide student developers day to day, review their work, and give technical input to planning and project assessments.
• Develop documentation, guides and workshops for using the Center's tools.

Required profile

• Bachelor's degree in computer science, software engineering or a related field.
• At least three years of professional software development experience, including at least one application built on large language models and taken into real use.
• Ability to build complete, working products, including front-end web development usable by non-technical users.
• Experience handling personal data and credentials, including access control and secrets management.
• Ability to build to WCAG 2.1 AA accessibility standards.
• Willingness to work with non-technical subject-matter experts and to communicate clearly.

Required skills

• Prompt and agent design, retrieval over documents and structured data, model evaluation and guardrails for user-facing AI systems.
• Hosting, release processes, monitoring and keeping software running reliably.
• Version control, code review and documentation.
• Preferred: experience in educational technology, learning analytics, managing LLM workload costs, concurrency under heavy demand, usage instrumentation, integration with institutional systems (single sign-on, LMS via LTI) and mentoring junior developers.

What we offer

• Position starts with a three-month contract, with potential to move to a one-year contract.
• Schedule Sunday to Thursday, 8:30am to 5pm, with occasional evening and weekend hours.
• Medical, prescription, dental and vision insurance, retirement savings program with employer contributions, tuition benefits, paid time off, observed holidays and life and accidental death and disability insurance.
• Free regional transit bus pass, family concierge support, fitness center access and more.

Candidates must pass a pre-employment background check and submit a cover letter, CV, a portfolio of software built and used, and contact details for two references.