Software Engineer II, Applied AI Engineer – Dubai, UAE | Visa + Salary Insights

📍 Location: ae

🏷 Type: Not specified

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Job Overview

This Mid-Level Applied AI Engineering role at Google focuses on building scalable Generative AI and Machine Learning solutions within Google Cloud. You will work on enterprise-grade AI systems, collaborating with customers and internal teams to deploy production-ready solutions. Ideal candidates bring 1–3 years of software engineering experience, strong foundations in Python, Java, or C++, and an interest in AI-driven product development. This role blends backend engineering with applied AI, making it highly strategic for engineers transitioning into advanced AI systems.

🌍 Work Eligibility & Location

This is an Onsite opportunity based in Dubai with strong global mobility support. Visa sponsorship and relocation assistance make it accessible for international candidates aiming to enter the Middle East tech market. The role requires alignment with UAE working hours, but exposure to global teams ensures international collaboration and career expansion.

💰 Salary Intelligence

While Google does not publicly list compensation, this Mid-Level Applied AI role is highly competitive for the region. The estimated range reflects Dubai’s tax-free salary advantage combined with Google’s premium compensation structure. Additional benefits may include bonuses, equity, and relocation packages, making total compensation significantly higher in real terms.

📊 Role Breakdown

This role blends software engineering (50%), applied AI development (30%), and customer-facing solution engineering (20%). You will design and implement scalable systems using Python, Java, and Golang, while integrating Generative AI APIs such as Gemini and Vertex AI. A key part of the role involves building proof-of-concepts, deploying AI-driven applications, and solving enterprise-level technical challenges.

You will collaborate with cross-functional teams to optimize system architectures, improve model deployment pipelines, and accelerate customer adoption of AI solutions. Expect to engage in distributed systems design, data processing at scale, and backend infrastructure optimization. This position also requires translating complex AI capabilities into business-ready applications, making it ideal for engineers who want both technical depth and strategic impact.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

Despite being a Mid-Level role, hiring difficulty is High due to Google’s rigorous technical screening and global applicant pool. Candidates must demonstrate strong algorithmic thinking, system design basics, and practical exposure to AI or backend systems. The 1–3 years experience requirement is minimal on paper but expects high-quality, production-level contributions.

🚀 Career Impact

This role offers strong career acceleration by combining AI engineering with cloud-scale infrastructure. Working at Google significantly boosts your global employability, opening pathways into senior AI roles, technical leadership, and high-impact product engineering positions across top-tier companies.

📋 Key Responsibilities

You will design and build scalable AI-powered applications using Python, Java, and cloud-native tools. A major responsibility includes developing proof-of-concepts and deploying production-ready solutions leveraging Generative AI APIs. You will collaborate with customers to understand technical challenges and propose optimized architectures.

Additionally, you will integrate enterprise systems, optimize backend performance, and support AI adoption strategies. The role also involves working with product teams to prioritize impactful features and driving technical innovation within Google Cloud’s AI ecosystem.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

This section is personalized by seniority.

How to use: Paste into ChatGPT, Claude, or Gemini

🧠 Fit & Positioning Analysis

Evaluate your match before applying.

📅 Application Signals

This role shows high urgency due to rapid expansion in Google’s AI division. The competition is intense, with applicants from top global engineering backgrounds. Early application significantly improves visibility, especially for candidates with demonstrated AI + backend integration experience.

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✅ Job Source & Verification

This job is sourced directly from Google Careers, ensuring high credibility and accuracy. All details reflect the official job description and hiring criteria. Last updated: April 2026. Candidates are advised to verify application deadlines and requirements directly on the official careers page before applying.