AI Engineer Gratuate at InterSystems Corporation United Arab Emirates

Dubai, Dubai, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

03 May, 26

Salary

0.0

Posted On

02 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, JavaScript, AI Concepts, HTML, CSS, REST APIs, Analytical Thinking, Communication Skills, PyTorch, TensorFlow, Natural Language Processing, Document Intelligence, Automation, Dashboards, Front-End Applications, Enterprise Software, Healthcare Systems

Industry

Software Development

Description

AI Engineer Graduate- Internal AI Projects Location: Dubai, United Arab Emirates Contract type: Graduate Program (Full-time, 6–12 months) Overview We are looking for a highly motivated, curious, and hands-on AI Engineer Intern to join InterSystems’ internal innovation and engineering teams in Dubai. This role focuses on building AI-driven internal tools, prototypes, and platforms that support sales teams, professional services, and business operations across a global organization. What will you get out of this? Hands-on experience delivering real AI-powered applications used internally across a global organization. Exposure to enterprise-grade AI, data platforms, and healthcare-related use cases. Mentorship from senior engineers and AI practitioners. The opportunity to grow into a graduate or full-time role within InterSystems. Experience working in a multicultural, international environment. Responsibilities Contribute to the design and development of internal AI-driven applications and prototypes. Support the implementation of applied AI use cases such as natural language processing, document intelligence, automation, agentic solutions. Assist in integrating AI components into internal systems. Develop and enhance user-facing components such as dashboards and web-based interfaces. Collaborate with senior engineers and internal stakeholders. Document code, models, and user-facing features. Required Skills / Qualifications Recently completed a degree in Computer Science, Software Engineering, Data Science, AI, or a related STEM field. Basic programming experience in Python and/or JavaScript. Foundational understanding of AI concepts. Familiarity with web technologies such as HTML, CSS, and modern JavaScript frameworks. Understanding of REST APIs. Strong analytical thinking and communication skills. Desired Skills Exposure to AI frameworks such as PyTorch or TensorFlow. Familiarity with large language models, prompt engineering, or RAG approaches. Experience building simple dashboards or front-end applications. Interest in enterprise software or healthcare systems. Growth and Development This internship is designed as a growth role with structured mentoring and the potential transition to a full-time role within InterSystems. We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States. About InterSystems InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.

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Responsibilities

Contribute to the design and development of internal AI-driven applications and prototypes. Collaborate with senior engineers and internal stakeholders to implement applied AI use cases.