Job at a Glance
- 📍 Location: Dubai, Dubai, United Arab Emirates
- 🏢 Company: Meegaan® Technologies
- 💼 Employment Type: Full-time
- 📊 Seniority: Not Applicable
- 🗂️ Function: Engineering and Information Technology
- 🏭 Industry: IT Services and IT Consulting
- 📅 Date Posted: 2026-08-07
- 🌐 Category: Artificial Intelligence
About the Role & Company
A new Lead Engineer (AI, Platforms & Integration) opening at Meegaan® Technologies in Dubai, Dubai, United Arab Emirates just went live. The role sits inside a Artificial Intelligence team that’s actively expanding its footprint in the region. Career-wise, joining a growing team beats a static one; there’s more room to shape scope early. The scope reads like a standard Lead Engineer (AI, Platforms & Integration) brief on paper; in a growing team it usually stretches wider than the JD. Dubai remains a strong market for artificial intelligence professionals; salaries have held up and tax structure keeps take-home meaningful. Bottom line — the mix of growth stage, market position and role scope makes this worth a serious look for the right applicant.
Key Requirements
- This position requires a strong engineering background combined with experience in AI
- making, and user experiences
- Bachelor’s and/or Master’s degree in Computer Science, Engineering, or a related field
- Demonstrated 10 years of overall software engineering or solution engineering experience
- on experience with one or more platforms such as Microsoft Power Platform, Copilot, Workato, or similar tools
- Real-world experience building and integrating solutions using APIs, webhooks, and event
- Working knowledge of AI concepts and large language models (LLMs)
- Proven ability to lead technical discussions and present solutions to clients and stakeholders
Job Description
This position requires a strong engineering background combined with experience in AI-enabled solutions, platform integrations, and direct client engagement.
The ideal the right person will lead the design and delivery of enterprise solutions that combine software engineering, AI capabilities, system integrations, and platform-based implementations. you’ll work closely with clients, product teams, and engineers to translate business what’s needed into scalable, secure, and maintainable solutions.
Lead end-to-end solution design and implementation across applications, integrations, and platforms
Architect and build solutions using a mix of custom engineering, automation tools, and AI services
Work directly with clients to understand what’s needed, propose technical solutions, and drive delivery
Guide teams on best practices for design, performance, security, and maintainability
ATS Resume Tips for This Role
To get past Applicant Tracking Systems (ATS) for this Lead Engineer (AI, Platforms & Integration) opening, tailor your resume with the pointers below:
- Include these keywords verbatim in your Skills and Experience sections: LLM, Python, TensorFlow, PyTorch, Machine Learning, Deep Learning, NLP, Computer Vision, MLOps, Data Pipelines. ATS parsers match exact strings, not synonyms.
- Use a single-column layout. Two-column resumes break parsers — text gets scrambled or dropped.
- Save as .docx or standard .pdf (not scanned/image PDF). Avoid text boxes, headers, footers, graphics.
- Use standard section headings: Experience, Education, Skills, Certifications.
- Mirror the exact job title (Lead Engineer (AI, Platforms & Integration)) in your target role line where truthful.
- Quantify results with numbers, percentages, currency. Metrics improve ATS scoring and human review.
- Spell acronyms out once (e.g., Search Engine Optimization (SEO)) so parser catches both forms.
- Font: Arial, Calibri, or Times New Roman at 10-12pt. Fancy fonts can render as unreadable glyphs.
Top 10 Interview Questions for This Role
- Walk me through your background and why you’re interested in this role.
- Describe a challenging project you owned end-to-end. What was the outcome?
- Tell me about a time you disagreed with a stakeholder. How did you handle it?
- How do you prioritize when everything on your plate feels urgent?
- How do you decide between fine-tuning a model vs. prompt engineering?
- Explain overfitting to a non-technical stakeholder.
- Walk through your data validation pipeline for training data.
- How do you evaluate model performance beyond accuracy?
- Describe your MLOps setup — from experimentation to production.
- How do you handle model drift once a system is in production?
How to Apply
#DubaiJobs #AIJobs #ArtificialIntelligence #Hiring #DubaiAI #JobAlert #Get9to5Jobs
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