Senior Full Stack Engineer

Deeplight; United Arab Emirates; On-site; AED 300,000 - 420,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Visa sponsorship

Professional development

Monthly incentives

Career advancement opportunities

Job summary

DeepLight in the UAE is seeking a Senior Full Stack AI Engineer to create and manage advanced AI applications. The role focuses on bridging data science and enterprise software, requiring expertise in architectures and performance optimization.

Candidates should demonstrate substantial experience with containerized applications and infrastructure in regulated environments, alongside proficiency in deep learning applications across NLP and CV domains. Significant opportunities for career advancement and working on cutting-edge AI projects are offered.

Qualifications

• Extensive experience designing and managing AI/ML applications.
• Proven track record in deep learning for NLP and CV.
• Experience with model monitoring frameworks.

Responsibilities

• Architect secure AI and Generative AI systems.
• Design and optimize APIs for complex AI models.
• Build and automate MLOps pipelines.

Skills

Containerised AI/ML applications

Deep Learning in NLP and CV

Docker

Kubernetes

Azure

Big Data tools

Python

Education

MSc or PhD in Computer Science or relevant discipline

Tools

PyTorch

TensorFlow

SQL

NoSQL

Vector Databases

Job description

DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors—particularly Financial Services and Banking—to bridge the gap between complex data and actionable business strategy. At DeepLight, we deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.

As a Senior Full Stack AI Engineer, you will be the ultimate bridge between advanced data science and enterprise‑scale software architecture. Operating within complex client landscapes such as premier banking and financial institutions (e.g., ADCB), you will own the full engineering lifecycle of AI applications. You will design secure, highly performant systems, orchestrate massive data pipelines, optimize cloud spend, and establish robust MLOps practices that guarantee production stability.

Key Responsibilities

• Architect end‑to‑end, highly secure AI and Generative AI systems capable of running seamlessly across both secure on‑premise data centers and public cloud infrastructures (Azure/AWS).
• Design, build, and optimize high‑throughput, secure APIs to serve complex AI models and agentic workflows to consuming client applications.
• Seamlessly integrate proprietary cloud foundation models (GPT, Claude, Gemini) and fine‑tuned open‑source models into unified software ecosystems.
• Leverage a deep theoretical understanding of Transformers, PyTorch, and TensorFlow to implement, evaluate, and optimize deep learning models across NLP and Computer Vision domains.
• Design scalable knowledge retrieval frameworks using embedding models and enterprise‑grade Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss).
• Build and evaluate robust systematic prompting frameworks and compile complex models using ONNX for optimized, low‑latency production inference.
• Own the containerization and scaling of AI services utilizing Docker and Kubernetes clusters across development and production environments.
• Build and automate robust MLOps continuous integration and deployment pipelines to track model lineage, versions, evaluations, and production drift.
• Implement strict FinOps practices to track, monitor, and radically optimize token usage, cloud compute consumption, and inferencing costs.
• Architect and optimize large‑scale data processing systems using modern Big Data tools to feed raw information into AI training and embedding workflows.

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. 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.

Benefits

• Competitive salary
• Comprehensive personal health insurance
• Visa sponsorship for the successful individual
• Professional development and certification support
• Subscription reimbursement relating to your role
• Opportunity to work on cutting‑edge AI projects
• Monthly employee incentive program
• Career advancement opportunities in a rapidly growing AI company

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.

Requirements

• Extensive experience designing, launching, and managing containerised AI/ML or data‑intensive applications in highly regulated enterprise environments.
• A proven track record applying deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) fields.
• Practical experience implementing production‑grade model monitoring frameworks and optimising complex cloud/token expenditure.
• Deep operational command of Docker and enterprise Kubernetes infrastructure for running distributed AI applications.
• Expert‑level knowledge of Azure (or alternative major clouds) alongside a strong architectural grasp of on‑premise deployment constraints, data security, and network topologies.
• Strong proficiency in Big Data toolsets and modern API gateway designs.
• A rigorous, foundational grasp of transformer architectures, embedding mechanics, and deep learning implementations via PyTorch/TensorFlow.
• High proficiency across SQL, NoSQL, and Vector Database engines.
• “Perfect‑tier” software engineering skills in Python and advanced data processing techniques.

Nice to Have

• An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a highly relevant quantitative discipline.
• Deep domain experience within banking, understanding strict data residency laws, financial compliance protocols, and legacy core banking interactions.
• Practical experience with agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern cloud MLOps suites (e.g., Azure AI Studio, Kubeflow).