AI Engineer- Entry Level
AI in this role
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 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.
AI Disclaimer
InterSystems may use AI tools for its internal operations including administrative tasks during recruitment (e.g., organizing candidate information). InterSystems’ approach to AI is guided by the InterSystems Responsible AI Guidelines. AI is not used to make or influence hiring decisions. All decisions are made by InterSystems employees.
Candidates may use AI for CV or interview preparation, provided materials are truthful and reflect their own experience. AI tools and third-party transcription services must not be used during interviews or assessments.
Please note that the use of wearable technology, including any AI-related tools or other technology-connected devices (such as META or Google smart glasses and/or wearables, and/or any similar devices), is strictly prohibited during the interview and screening process with InterSystems. Any applicant who requires a wearable device or any type of technology support during the interview process as a reasonable accommodation under the ADA or applicable state or country laws and regulations must contact the InterSystems Human Resources Department prior to attending or participating in any interview or screening process.
How we rate this
AI Engineer- Entry Level at InterSystems rates 3 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Walk me through how you've used PyTorch in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, RAG, NLP, AI Safety, and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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