AI Engineering Interns - Data Engineering, Full-Stack Development, Quality and Evaluation
Category | Grade:Intern | I-1Deadline:21 Jul 2026Job ID:2602747Posted on:7 Jul 2026
Overview
Contributes to WHO/Europe’s Pera AI workspace by supporting agentic AI workflows, data engineering, full-stack development, evaluation and responsible AI product delivery.
Department: EU/BOS Division of Business Operations
Languages
Required: English
Desired: Another UN language
Job Functions
- Data, Analytics and Artificial Intelligence
- Software Engineering and Development
Minimum Experience
No minimum listed
Salary
Living allowance; no salary
Responsibilities
- Assist in designing and enhancing AI agents and agentic workflows in Pera
- Support evaluation methods for AI agents and responses
- Develop user-friendly web interfaces using modern front-end technologies
- Support back-end services, APIs, integrations and data-processing components
- Implement generative AI capabilities including retrieval-augmented generation and tool calling
- Prepare and evaluate trusted knowledge sources used by AI applications
- Test AI-enabled workflows and document software features
- Participate in product discovery, feedback sessions, code reviews and technical discussions
Requirements
- Completion of the equivalent of three years of full-time university studies in software engineering, computer science, artificial intelligence, information systems, data science or a related field before starting
- Current enrolment in a course of study leading to a formal qualification, or graduation within eighteen months before applying
- Programming experience in at least one modern programming language, preferably TypeScript, JavaScript or Python
- Familiarity with modern web development concepts and frameworks, preferably React
- Basic understanding of software development practices including Git, APIs, testing and documentation
- Hands-on experience building with large language model APIs through at least one demonstrable project involving tool calling, retrieval-augmented generation or AI agents
- Strong analytical and problem-solving skills
- GitHub profile, technical portfolio or public repository showing relevant projects
Skills
AI EngineeringData EngineeringFull-Stack DevelopmentAgentic WorkflowsRetrieval-Augmented GenerationPrompt DesignSemantic SearchSoftware TestingUser-Centred DesignResponsible AI
Tools
PeraReactNext.jsTypeScriptJavaScriptHTMLCSSPythonGitAPIsFastAPINode.jsModel Context Protocol
Additional info
- Internship duration: six months
- Full-time in-person internship; remote or hybrid working arrangements are not envisaged
- Applicants should indicate preferred focus areas in the motivation letter
- Interns receive a living allowance but no salary
- WHO provides accident and medical insurance under applicable rules
- Selected candidates must provide proof of enrolment, a medical certificate of fitness and reference-check contacts