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DeepLight AI

Backend Engineer

DeepLight AI is hiring a Backend Engineer in Abu Dhabi and Dubai, United Arab Emirates. Level rates it ; you can apply on DeepLight AI.

Level's read on this job

  • Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
  • DeepLight AI mentions visa sponsorship in this posting.
  • Tools and skills the posting cites include OpenAI, Azure OpenAI and Docker.
  • Level lists 15 other open roles at DeepLight AI.
  • The role was posted within the past week.

AI in this role

Develop scalable backend systems and integrate Generative AI solutions and RAG workflows for enterprise banking.

openaiazure-openaidockerrest-api
ragllm-integrationai-agentsbackendpythongenerative-aimicroservices

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 Backend 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 Backend 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.

Requirements

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 have:

  • 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

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.

How we rate this

Backend Engineer at DeepLight AI rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGLLM IntegrationAI agentsBackendPythonGenerative AIMicroservicesOpenAI

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How have you integrated a large language model into a production application?
  3. How do you decide when an AI agent can act on its own versus asking for approval first?
  4. Tell me about a project where backend was part of your work. What did you do?
  5. Tell me about a project where python was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, LLM Integration, AI agents, Backend, and Python. 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.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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