AI Full Stack Engineer at Deeplight

Abu Dhabi, Abu Dhabi, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

FastAPI, Flask, Node.js, React.js, Angular, Vue.js, Generative AI, LLM Integration, RAG Workflows, Azure, AWS, Python, JavaScript, TypeScript, Docker, CI/CD

Industry

IT Services and IT Consulting

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. As the AI Full Stack Engineer, your responsibilities will include: 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. As an AI consultancy, our greatest asset is the expertise of our people. While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders. If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. The key requirements for this role are: 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. You should also have the following: 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. It would be preferable if you also possess: 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. This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients. 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.

Responsibilities

The engineer will design, build, and deploy full-stack, AI-powered web applications using microservices and RESTful APIs, focusing heavily on integrating Generative AI principles like RAG and agentic workflows into enterprise platforms. Responsibilities also include creating scalable architectures, managing data pipelines, handling DevOps/CI/CD, and acting as an 'analytics translator' between business and IT.