AI Engineer- Entry Level

🏢 Intersystems · 📍 Dubai

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Position Summary & Responsibilities

We are looking for a highly motivated, curious, and hands-on AI Engineer to join InterSystems’ internal innovation and engineering teams in Dubai. This role focuses on building AI-driven tools, prototypes, and platforms that support sales teams, professional services, and business operations across a global organization.

Key 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.

Experience/Qualification Required

Recent completed 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.

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.
Experience working in a multicultural, international environment.

About InterSystems

InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcar

🎯 Candidate Preparation Guide For Intersystems Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Testing uncompromising architectural rigor, high-performance data management capabilities, and deep respect for mission-critical, zero-downtime environments.

📋 Preparation Priorities (Key Areas to Clarify):

1. Hand-waving through edge cases, scalability bottlenecks, or data corruption recovery scenarios.
2. Showing an exclusive preference for rapid, messy prototyping over robust, highly maintainable enterprise architecture.
3. Lacking foundational understanding of healthcare data standards or heavy-duty enterprise backend systems.

✨ Recommended Role Alignment Hook:

I design and maintain uncompromising, high-performance data architectures that power mission-critical healthcare and financial systems 24/7/365.

🔒 Free Candidate Preparation Access

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