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AI Full Stack Engineer

Deeplight

United Arab Emirates

On-site

AED 120,000 - 200,000

Full time

Today
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Job summary

A leading AI consultancy in the United Arab Emirates is seeking an experienced AI Full Stack Engineer to develop scalable applications and integrate Generative AI solutions. The ideal candidate will have over 5 years of software development experience, expertise in modern frameworks, and familiarity with banking operations. This role offers a competitive salary and opportunities to work on innovative AI projects in a diversity-driven environment.

Benefits

Competitive salary
Visa sponsorship
Comprehensive health insurance
Professional development support
Career advancement opportunities

Qualifications

  • 5+ years in professional software development.
  • Expert-level knowledge of Docker and CI/CD processes.
  • Proficiency in integrating AI models in cloud-native environments.

Responsibilities

  • Develop scalable, AI-powered applications using microservices.
  • Implement Generative AI engineering principles in digital platforms.
  • Design robust data pipelines and governance frameworks.

Skills

FastAPI
Flask
Node.js
React.js
Angular
Vue.js
GenAI engineering
Azure OpenAI
Python
JavaScript
TypeScript
Docker
CI/CD automation

Education

Bachelor’s degree in Computer Science or related discipline

Tools

Azure Functions
AWS Lambda
S3
Blobs
Job description

DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations. The AI Full Stack Engineer is a pivotal role within the Technology Services group, designed to drive digital transformation and innovation in banking. You will be responsible for developing scalable, AI-powered applications and Generative AI (GenAI) solutions that enhance core banking processes and customer digital journeys. By integrating advanced analytics, conversational AI, and cloud-native architectures, you will build secure, modular systems that bridge the gap between complex data requirements and strategic business outcomes. This role requires a blend of technical mastery in modern frameworks and a deep understanding of banking operations to deliver high-impact enterprise platforms.

Responsibilities
  • Application Development: Design, build, and deploy full-stack, AI-powered web applications using microservices and RESTful APIs.
  • GenAI Integration: Implement Generative AI engineering principles, including Retrieval-Augmented Generation (RAG) and agentic workflows, into enterprise-grade digital platforms.
  • Architecture & Design: Create modular, scalable architectures and establish documentation standards and reusable templates for AI projects.
  • Data Engineering: Design and implement robust data pipelines, pre-processing workflows, and governance frameworks to handle large, complex datasets.
  • DevOps & Deployment: Manage containerization (Docker) and CI/CD pipelines to ensure automated, secure, and scalable deployments.
  • Collaboration: Act as an "analytics translator" between business units and IT, coordinating with UI/UX teams, Data Scientists, and AI Engineers to align technical builds with business growth.
  • Compliance & Standards: Adhere to all organizational policies, service standards, and procedural instructions to ensure consistent, high-quality delivery.
Key Requirements
  • Proficiency in back-end frameworks (FastAPI, Flask, or Node.js) and front-end frameworks (React.js, Angular, or Vue.js).
  • Strong grasp of GenAI engineering, LLM integration (Azure OpenAI), and RAG workflows.
  • Hands‑on experience with Azure or AWS ecosystems, including serverless deployments (Azure Functions/AWS Lambda) and cloud storage (S3, Blobs).
  • Advanced coding skills in Python and JavaScript/TypeScript.
  • Expert-level knowledge of Docker, container registries (ACR), and CI/CD automation.
  • A Bachelor’s degree in a quantitative field such as Computer Science, Software Engineering, or a related discipline.
  • A minimum of 5+ years in professional software development.
  • Proven track record in building scalable, secure web applications and integrating AI models within a cloud-native environment (Azure preferred).
  • Advanced knowledge of banking operations, terminologies, and financial services products.
Preferred Qualifications
  • The ability to analyse complex banking products and services to drive innovation and decision-making.
  • Proven ability to translate complex technical/data requirements for non-technical internal stakeholders.
  • The capacity to manage and motivate team members to contribute to change initiatives and continuous improvement.
  • The ability to work effectively in an ad‑hoc, fast‑paced environment across different functional teams.
Benefits & Growth Opportunities
  • Competitive salary.
  • Visa sponsorship for the successful individual.
  • Comprehensive health insurance for the successful individual.
  • Professional development and certification support.
  • Opportunity to work on cutting‑edge AI projects.
  • Career advancement opportunities in a rapidly growing AI company.
Our Commitment to Diversity

At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions. Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates. If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.

The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.

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