ai software engineer

Discovered MENA

<div>
 
 
 AI Software Engineer
 
 
 
 
 
 
 
 Location:
 
 Abu Dhabi
 
 
 
 Package:
 
 30,000 - 35,000 AED per month TAX FREE plus benefits
 
 
 
 Duration:
 
 Permanent
 
 
 
 
 
 I am currently partnered with a brilliant company committed to delivering cutting-edge solutions and enhancing user experiences for various sectors. Their mission is to empower teams with innovative technologies that optimise operations and facilitate efficient issue resolution.
 
 
 
 
 
 We are currently seeking a highly skilled and enthusiastic AI Software Engineer with expertise in Python &amp; AI to join the team in Abu Dhabi.
 
 
 
 
 
 Responsibilities:
 
 
 Conduct in-depth research, design, and development of advanced cellular communications solutions
 
 
 Design and implement systems based on cutting-edge methodologies such as Domain-Driven Design, Reactive Architecture, and Actor model.
 
 
 Develop and maintain CI/CD pipelines, perform comprehensive unit tests, integration tests, and end-to-end tests.
 
 
 Collaborate closely with a team of experienced developers, system architects, and product managers to deliver top-quality technical solutions.
 
 
 Contribute to crucial technological and architectural decisions.
 
 
 Work collaboratively in agile, multidisciplinary teams, embracing Agile principles, methodologies, and tools.
 
 
 
 
 
 Requirements:
 
 
 Expertise in Python with a strong grasp of asynchronous programming and concurrency patterns.
 
 
 Experience building high-performance APIs, ideally using modern Python frameworks.
 
 
 Skilled in integrating and orchestrating LLM-based systems, including function-calling and local model setup.
 
 
 Practical understanding of prompt design and AI-driven workflow optimisation.
 
 
 Hands-on experience with retrieval-augmented generation (RAG) concepts&mdash;such as text segmentation, embeddings, and vector databases (e.g., Milvus, FAISS, Pinecone).
 
 
 Proficient in data handling and validation using Python data frameworks and schema-based approaches.
 
 
 Comfortable working with real-time communication protocols (e.g., WebSockets, Server-Sent Events, gRPC, REST).
 
 
 Knowledge of containerization and deployment pipelines using Docker and CI/CD tools.
 
 
 Experience writing automated tests and maintaining high code quality with Python testing frameworks.
 
 
 Understanding of message-driven architectures and queueing systems (e.g., RabbitMQ).
 
 
 Awareness of GPU-accelerated environments and performance tuning for compute-intensive tasks.
 
 
 Strong command of the English language, both spoken and written (upper-intermediate level).
 
</div>

AI Software Engineer

<div>
 
 
 
 Applied AI Engineer &ndash; Abu Dhabi
 
 
 
 
 
 
 Discover the Opportunity
 
 
 
 
 We&rsquo;re partnering with a major enterprise in Abu Dhabi that is building next-generation AI capabilities to power large-scale, real-world systems.
 
 
 
 
 
 This role sits within a central AI function responsible for developing and deploying advanced AI applications across multiple entities. The team is focused on leveraging cutting-edge technologies including large language models, retrieval systems, and agent-based workflows to deliver scalable, production-grade solutions.
 
 
 
 
 
 This is a unique opportunity to work at the forefront of applied AI, contributing to the development of AI-driven systems that operate at an enterprise level.
 
 
 
 
 
 
 
 Discover the Role
 
 
 
 
 As an Applied AI Engineer, you will design and deliver end-to-end AI-powered applications, working at the intersection of AI engineering, software development, and product delivery.
 
 
 
 
 
 You will take ownership of building robust, production-ready systems leveraging modern AI capabilities, translating complex requirements into scalable solutions. This role requires strong hands-on engineering expertise combined with a deep understanding of how to operationalise AI in real-world environments.
 
 
 
 
 
 
 
 Discover the Responsibilities
 
 
 
 <ul>
 <li>
 Design and deploy production-grade AI applications powered by large language models, including assistants, copilots, and automation tools
 </li>
 <li>
 Build advanced agent-based systems capable of multi-step reasoning, planning, and tool integration
 </li>
 <li>
 Develop end-to-end retrieval-augmented generation (RAG) systems, including data ingestion pipelines, vector databases, and retrieval optimisation
 </li>
 <li>
 Expose AI capabilities through scalable APIs that integrate seamlessly with existing systems and data platforms
 </li>
 <li>
 Define and implement evaluation frameworks to measure model performance, detect issues, and continuously improve system quality
 </li>
 <li>
 Translate complex and ambiguous requirements into structured engineering solutions with clear success metrics
 </li>
 <li>
 Build reusable components, frameworks, and infrastructure to enable scalable AI adoption across multiple entities
 </li>
 <li>
 Collaborate with cross-functional teams to deliver reliable, high-performance AI systems
 </li>
 </ul>
 
 
 
 
 
 
 Discover the Requirements
 
 
 
 <ul>
 <li>
 7+ years of experience in
 
 Applied AI
 
 , machine learning engineering, or software engineering roles
 </li>
 <li>
 Strong programming skills in Python, with solid software engineering fundamentals including system design, testing, and performance optimisation
 </li>
 <li>
 Proven experience building and deploying AI/ML systems in production environments
 </li>
 <li>
 Hands-on experience working with large language models and deploying LLM-powered applications
 </li>
 <li>
 Strong understanding of the challenges of deploying AI systems in production, including latency, reliability, and model behaviour
 </li>
 <li>
 Experience designing scalable, reliable, and high-performance systems
 </li>
 </ul>
 
 
 
 
 
 
 Preferred experience:
 
 
 
 <ul>
 <li>
 Experience building RAG systems end-to-end, including retrieval pipelines and vector search
 </li>
 <li>
 Familiarity with agent-based frameworks such as LangChain, LangGraph, AutoGen, or similar
 </li>
 <li>
 Experience designing evaluation frameworks for AI systems, including performance monitoring and regression detection
 </li>
 <li>
 Exposure to conversational AI systems, including speech or real-time interaction pipelines
 </li>
 <li>
 Experience working with modern AI inference infrastructure and deployment environments
 </li>
 </ul>
 
 
 
</div>

Applied AI Engineer

Salt

<div>
 
 
 🤖 Full Stack Engineer
 
 
 
 
 ⏳ 6-month initial contract - with extensions
 
 
 
 
 📍 Abu Dhabi
 
 
 
 
 
 
 
 Build the Future of AI in Banking
 
 
 
 
 
 
 We're partnering with one of the UAE's leading financial institutions to hire an experienced
 
 Full Stack Developer
 
 to help shape the next generation of AI-powered banking.
 
 
 
 
 
 You'll play a key role in developing the customer and operational interfaces for a cutting-edge
 
 Agentic AI platform
 
 , creating intuitive applications that connect complex AI decision-making with the people who rely on it every day. From Human-in-the-Loop (HITL) review portals and real-time operational dashboards to internal AI management tools, you'll build products that are central to the bank's AI transformation journey.
 
 
 
 
 
 This is an opportunity to work on enterprise-scale AI solutions using modern technologies including
 
 React, TypeScript, Node.js, Azure, Kubernetes, REST APIs, and GenAI integrations
 
 , while collaborating with AI Engineers, Product teams, Business Analysts and Platform Architects.
 
 
 The Role As a
 
 Full Stack Developer
 
 , you'll own the design and development of the human-facing applications that power the bank's AI ecosystem. You'll transform complex AI outputs, including confidence scores, exception handling, agent status and operational metrics&mdash;into intuitive, high-performance user experiences for operations teams, business users and customers.
 
 
 
 
 
 
 What You'll Be Doing:
 
 
 
 Build Modern AI Applications
 
 <ul>
 <li>
 Develop enterprise-grade React &amp; TypeScript applications for AI-powered banking solutions.
 </li>
 <li>
 Design intuitive interfaces that visualise AI decisions, confidence scores and workflow status.
 </li>
 <li>
 Create responsive, accessible applications that deliver an exceptional user experience.
 </li>
 </ul>
 
 Human-in-the-Loop (HITL) Platform
 
 <ul>
 <li>
 Develop reviewer portals enabling operations teams to validate AI-generated decisions.
 </li>
 <li>
 Build document viewers with field overlays and confidence indicators.
 </li>
 <li>
 Create streamlined approval, edit and rejection workflows with productivity-focused features.
 </li>
 </ul>
 
 Operational Dashboards
 
 <ul>
 <li>
 Build real-time dashboards displaying AI performance and operational health.
 </li>
 <li>
 Visualise key metrics including:
 </li>
 <li>
 Straight Through Processing (STP)
 </li>
 <li>
 Human intervention rates
 </li>
 <li>
 AI confidence trends
 </li>
 <li>
 Processing latency
 </li>
 <li>
 Token consumption
 </li>
 <li>
 Document volumes
 </li>
 <li>
 Exception analytics
 </li>
 </ul>
 
 Platform &amp; API Integration
 
 <ul>
 <li>
 Integrate applications with AI services, REST APIs and backend orchestration platforms.
 </li>
 <li>
 Develop secure communication between AI services and banking applications.
 </li>
 <li>
 Consume real-time event streams using WebSockets and Server-Sent Events.
 </li>
 </ul>
 
 Internal AI Tooling
 
 <ul>
 <li>
 Build internal portals supporting AI prompt management, testing, annotation and AI use case configuration.
 </li>
 <li>
 Create developer tooling that accelerates AI delivery across multiple business functions.
 </li>
 </ul>
 
 Performance &amp; Accessibility
 
 <ul>
 <li>
 Deliver highly performant applications optimised for enterprise environments.
 </li>
 <li>
 Ensure solutions meet accessibility standards and gracefully handle AI processing latency.
 </li>
 <li>
 Contribute to a reusable design system and component library aligned with corporate branding.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 
 Essential Experience
 
 <ul>
 <li>
 5+ years' experience as a Full Stack Developer
 </li>
 <li>
 Commercial experience delivering
 
 AI, Generative AI, Agentic AI or Conversational AI
 
 projects
 </li>
 <li>
 Strong React &amp; TypeScript development experience
 </li>
 <li>
 Node.js or Python (FastAPI / Express)
 </li>
 <li>
 REST API integration and development
 </li>
 <li>
 Experience with WebSockets or Server-Sent Events
 </li>
 <li>
 State management using Redux, Zustand or React Query
 </li>
 <li>
 Data visualisation using Recharts, D3 or similar libraries
 </li>
 <li>
 OAuth2 / OpenID Connect authentication
 </li>
 <li>
 Docker and Kubernetes fundamentals
 </li>
 <li>
 Experience building scalable, enterprise-grade web applications
 </li>
 </ul>
 
 Nice to Have
 
 <ul>
 <li>
 React Native or mobile banking application development
 </li>
 <li>
 Azure Static Web Apps, Azure Front Door or CDN configuration
 </li>
 <li>
 High-resolution document rendering and annotation tools
 </li>
 <li>
 Experience displaying streaming LLM responses
 </li>
 <li>
 Understanding of AI/ML concepts including confidence scoring, model evaluation and operational metrics
 </li>
 <li>
 Experience working within Azure cloud environments
 </li>
 </ul>
 
 
 
 
 
 Why Join?
 
 
 
 This is a rare opportunity to work on one of the region's most ambitious AI transformation programmes.
 
</div>

Full Stack Engineer

Presight

<div>
 
 Job Description
 
 
 
 Presight AI is seeking an innovative, creative and experienced Backend Engineer to build the structure of advanced software applications by writing flawless business logic, server scripts, and APIs.
 
 
 
 The opportunity
 
 
 
 You get to play a key technical role in sustaining and optimizing the infrastructure that develops and delivers cutting edge, next-gen analytics solutions at Presight.
 
 
 Presight is UAE's leading Analytics-driven, Cloud first, AI-enabled company with a deep focus on driving digital transformation in the MENACA region to power the next generation of cities, businesses, and industries. When it comes to challenges faced by organizations in the MENACA regions, Presight has in-depth knowledge and expertise. Presight enables public and private sector stakeholders to make analytics-driven, intelligent decisions. Its solutions help steer digital transformation and simplify its customers' challenges across various industries, including digital governments, national security, national cloud, healthcare, financial sectors, and infrastructure.
 
 
 Founded in 2020, the company is headquartered in Abu Dhabi, UAE. Presight has developed transformative products/solutions which enable its customers to gain a stark competitive advantage by integrating AI, deep Analytics and ML in their digital transformation. The team of over +190 staff includes domain specialists, operations experts, data scientists, solution architects, software developers, engineers and data analysts from different countries &ndash; all committed to delivering impact.
 
 
 Presight is an operating company of G42, UAE's leading AI and Cloud Computing company that champions AI as drivers that power progress, propelled by the combination of exceptional people and technology.
 
 
 
 Key Responsibilities
 
 
 
 Reporting to the Lead Backend Engineer, Analytics, you will design business specific software components and modules using appropriate modelling techniques in line with agreed software design standards, patterns and methodology.
 
 
 
 Functional
 
 
 
 <ul>
 <li>
 Create and communicate multiple design views to identify and balance the concerns of all stakeholders of software design and allow for both functional &amp; non-functional requirements.
 </li>
 <li>
 Model or simulate the behavior of proposed software to enable approval by stakeholders and facilitate effective construction of the software.
 </li>
 <li>
 Design, code, verify, test, document, amend and re-factor complex programs/scripts and integration software services.
 </li>
 <li>
 Define and manage scoping, requirement definition and prioritization activities for small-scale changes and assist with more complex change initiatives.
 </li>
 <li>
 Follow agreed standards and apply appropriate techniques to elicit and document detailed requirements.
 </li>
 <li>
 Contribute to the appropriate selection of a software development approach&mdash;predictive (plan-driven) or adaptive (iterative/agile).
 </li>
 <li>
 Design test cases and test scripts mapping back to pre-determined criteria, clearly recording and reporting outcomes.
 </li>
 <li>
 Develop and maintain specialist knowledge of database and data warehouse concepts, design principles, architecture, software and facilities.
 </li>
 <li>
 Develop optimal solutions to enhance user experience, optimizing for maximum speed, scalability and technical feasibility.
 </li>
 <li>
 Participate in overall architecture discussion meetings to gain a detailed understanding of the complete architecture of a product and its functionalities.
 </li>
 <li>
 Build reusable code and libraries for future use.
 
 
 </li>
 </ul>
 
 Skills And Attributes For Success
 
 
 
 The yardsticks of your performance would include cost savings achieved, reduction in productivity loss, number of processes optimized, number of defect free tasks, adherence to policies, procedures &amp; quality standards, and customer NPS.
 
 
 
 To qualify, you must have
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Information Technology, Computer Science, Engineering or related field
 </li>
 <li>
 Minimum 5 years of experience in software engineering with strong computer science fundamentals
 </li>
 <li>
 At least 3 years of experience in Java Spring Boot and microservices development
 </li>
 <li>
 Familiar with Maven
 </li>
 <li>
 Extensive UNIX/LINUX experience and Shell scripting experience
 </li>
 <li>
 Proficiency in understanding data, entity relationships, structured &amp; unstructured data, SQL and NoSQL databases, better to be familiar with Elasticsearch
 </li>
 <li>
 Experience in RESTful API development
 </li>
 <li>
 Practices in multithreading programming and concurrency programming
 </li>
 <li>
 Use git proficiently
 
 
 </li>
 </ul>
 
 Ideally, you&rsquo;ll also need
 
 
 
 <ul>
 <li>
 Experience in nginx server
 </li>
 <li>
 Experience in using AWS or Azure cloud services
 </li>
 <li>
 A passion for constant improvement
 </li>
 <li>
 An innovative and creative approach to problem-solving
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 
 What we look for:
 
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the G42 community.
 
 
 
 What working at G42 offers:
 
 
 
 
 
 Culture:
 
 
 An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 
 
 Career:
 
 
 Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 
 
 Rewards:
 
 
 A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
</div>

Backend Engineer

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 Job Description
 
 
 
 Presight AI is seeking an innovative, creative and experienced Backend Engineer to build the structure of advanced software applications by writing flawless business logic, server scripts, and APIs.
 
 
 
 The opportunity
 
 
 
 You get to play a key technical role in sustaining and optimizing the infrastructure that develops and delivers cutting edge, next-gen analytics solutions at Presight.
 
 
 Presight is UAE's leading Analytics-driven, Cloud first, AI-enabled company with a deep focus on driving digital transformation in the MENACA region to power the next generation of cities, businesses, and industries. When it comes to challenges faced by organizations in the MENACA regions, Presight has in-depth knowledge and expertise. Presight enables public and private sector stakeholders to make analytics-driven, intelligent decisions. Its solutions help steer digital transformation and simplify its customers' challenges across various industries, including digital governments, national security, national cloud, healthcare, financial sectors, and infrastructure.
 
 
 Founded in 2020, the company is headquartered in Abu Dhabi, UAE. Presight has developed transformative products/solutions which enable its customers to gain a stark competitive advantage by integrating AI, deep Analytics and ML in their digital transformation. The team of over +190 staff includes domain specialists, operations experts, data scientists, solution architects, software developers, engineers and data analysts from different countries &ndash; all committed to delivering impact.
 
 
 Presight is an operating company of G42, UAE's leading AI and Cloud Computing company that champions AI as drivers that power progress, propelled by the combination of exceptional people and technology.
 
 
 
 Key Responsibilities
 
 
 
 Reporting to the Lead Backend Engineer, Analytics, you will design business specific software components and modules using appropriate modelling techniques in line with agreed software design standards, patterns and methodology.
 
 
 
 Functional
 
 
 
 <ul>
 <li>
 Create and communicate multiple design views to identify and balance the concerns of all stakeholders of software design and allow for both functional &amp; non-functional requirements.
 </li>
 <li>
 Model or simulate the behavior of proposed software to enable approval by stakeholders and facilitate effective construction of the software.
 </li>
 <li>
 Design, code, verify, test, document, amend and re-factor complex programs/scripts and integration software services.
 </li>
 <li>
 Define and manage scoping, requirement definition and prioritization activities for small-scale changes and assist with more complex change initiatives.
 </li>
 <li>
 Follow agreed standards and apply appropriate techniques to elicit and document detailed requirements.
 </li>
 <li>
 Contribute to the appropriate selection of a software development approach&mdash;predictive (plan-driven) or adaptive (iterative/agile).
 </li>
 <li>
 Design test cases and test scripts mapping back to pre-determined criteria, clearly recording and reporting outcomes.
 </li>
 <li>
 Develop and maintain specialist knowledge of database and data warehouse concepts, design principles, architecture, software and facilities.
 </li>
 <li>
 Develop optimal solutions to enhance user experience, optimizing for maximum speed, scalability and technical feasibility.
 </li>
 <li>
 Participate in overall architecture discussion meetings to gain a detailed understanding of the complete architecture of a product and its functionalities.
 </li>
 <li>
 Build reusable code and libraries for future use.
 
 
 </li>
 </ul>
 
 Skills And Attributes For Success
 
 
 
 The yardsticks of your performance would include cost savings achieved, reduction in productivity loss, number of processes optimized, number of defect free tasks, adherence to policies, procedures &amp; quality standards, and customer NPS.
 
 
 
 To qualify, you must have
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Information Technology, Computer Science, Engineering or related field
 </li>
 <li>
 Minimum 5 years of experience in software engineering with strong computer science fundamentals
 </li>
 <li>
 At least 3 years of experience in Java Spring Boot and microservices development
 </li>
 <li>
 Familiar with Maven
 </li>
 <li>
 Extensive UNIX/LINUX experience and Shell scripting experience
 </li>
 <li>
 Proficiency in understanding data, entity relationships, structured &amp; unstructured data, SQL and NoSQL databases, better to be familiar with Elasticsearch
 </li>
 <li>
 Experience in RESTful API development
 </li>
 <li>
 Practices in multithreading programming and concurrency programming
 </li>
 <li>
 Use git proficiently
 
 
 </li>
 </ul>
 
 Ideally, you&rsquo;ll also need
 
 
 
 <ul>
 <li>
 Experience in nginx server
 </li>
 <li>
 Experience in using AWS or Azure cloud services
 </li>
 <li>
 A passion for constant improvement
 </li>
 <li>
 An innovative and creative approach to problem-solving
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 
 What we look for:
 
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the G42 community.
 
 
 
 What Working At G42 Offers
 
 
 
 
 
 Culture:
 
 
 An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 
 
 Career:
 
 
 Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 
 
 Rewards:
 
 
 A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 Job Details
 
 
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Abu Dhabi Company Website: https://www.presight.ai Job Function: Software Development Company Industry/
 
 
 Sector: Other
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

<div>
 
 🤖
 
 Site Reliability Engineer (SRE) &ndash; AI Platforms
 
 
 
 
 📍 Abu Dhabi
 
 
 
 
 ⏳ 6-month initial contract - with extensions
 
 
 
 
 
 
 
 Help Build AI Platforms That Never Sleep
 
 
 
 We're partnering with one of the UAE's leading financial institutions to hire
 
 2 Site Reliability Engineers (SREs)
 
 to support the delivery of a next-generation
 
 Agentic AI platform
 
 powering the future of digital banking. This is far more than a traditional SRE role. You'll sit at the intersection of
 
 Site Reliability Engineering, Test Automation, Cloud Infrastructure and AI Quality Assurance
 
 , ensuring enterprise AI services are resilient, secure, scalable and production-ready. You'll build the automated frameworks that validate AI outputs while maintaining the reliability and performance of cloud-native applications running across Azure and AWS.
 
 
 
 
 
 As a
 
 Site Reliability Engineer
 
 , you'll take ownership of
 
 Production Readiness
 
 across enterprise AI applications and cloud infrastructure. You'll develop automated testing frameworks, define reliability standards, implement observability, and ensure AI-powered services consistently meet the performance, security and compliance standards expected within a highly regulated banking environment. Working alongside AI Engineers, DevOps Engineers, Software Developers and Cloud Architects, you'll play a critical role in ensuring the platform performs reliably at scale.
 
 
 
 
 
 
 What You'll Be Doing
 
 
 
 Site Reliability Engineering
 
 <ul>
 <li>
 Design and implement resilient, highly available cloud platforms.
 </li>
 <li>
 Build automated recovery and self-healing capabilities.
 </li>
 <li>
 Conduct chaos engineering exercises to validate system resilience.
 </li>
 <li>
 Perform load and stress testing to ensure applications can support banking-scale workloads.
 </li>
 </ul>
 
 Automated Testing &amp; Quality Engineering
 
 <ul>
 <li>
 Develop automated regression testing frameworks using Python.
 </li>
 <li>
 Integrate automated testing into CI/CD pipelines.
 </li>
 <li>
 Validate both application functionality and infrastructure deployments.
 </li>
 <li>
 Ensure every release meets enterprise quality standards before production.
 </li>
 </ul>
 
 AI Quality &amp; Validation
 
 <ul>
 <li>
 Build automated frameworks to evaluate AI model responses.
 </li>
 <li>
 Validate prompt behaviour and AI-generated outputs.
 </li>
 <li>
 Measure AI performance using established evaluation techniques and custom benchmarks.
 </li>
 <li>
 Help improve the reliability and consistency of enterprise AI services.
 </li>
 </ul>
 
 Observability &amp; Monitoring
 
 <ul>
 <li>
 Define Service Level Indicators (SLIs) and Service Level Objectives (SLOs).
 </li>
 <li>
 Develop dashboards and proactive monitoring solutions.
 </li>
 <li>
 Configure intelligent alerting to identify issues before they impact customers.
 </li>
 <li>
 Analyse platform health, reliability and performance trends.
 </li>
 </ul>
 
 Security &amp; Compliance
 
 <ul>
 <li>
 Automate security testing and compliance validation.
 </li>
 <li>
 Ensure AI services comply with banking security, privacy and data residency requirements.
 </li>
 <li>
 Support continuous platform governance and operational excellence.
 </li>
 </ul>
 
 Cloud Optimisation
 
 <ul>
 <li>
 Identify inefficient infrastructure and unnecessary cloud spend.
 </li>
 <li>
 Improve platform performance while optimising operational costs.
 </li>
 <li>
 Support FinOps initiatives across AI workloads.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 
 Essential Skills &amp; Experience
 
 <ul>
 <li>
 Strong commercial experience in Site Reliability Engineering, Platform Engineering or Test Automation
 </li>
 <li>
 Expert Python development skills
 </li>
 <li>
 Experience with automation frameworks including
 
 PyTest, Selenium or Robot Framework
 
 </li>
 <li>
 Hands-on experience with Azure and/or AWS cloud platforms
 </li>
 <li>
 Experience building automated CI/CD testing pipelines
 </li>
 <li>
 Strong understanding of cloud networking, scalability and reliability
 </li>
 <li>
 Experience with infrastructure validation and Infrastructure-as-Code concepts
 </li>
 <li>
 Knowledge of monitoring and observability tools including:
 </li>
 <li>
 Azure Monitor
 </li>
 <li>
 AWS CloudWatch
 </li>
 <li>
 Grafana
 </li>
 <li>
 Prometheus
 </li>
 <li>
 Experience with performance testing tools such as
 
 K6 or JMeter
 
 </li>
 </ul>
 
 
 
 
 
 AI Experience
 
 
 
 We're looking for engineers who have worked on
 
 AI, Generative AI, Conversational AI or Agentic AI
 
 projects and understand how to evaluate AI system performance.
 
 
 Experience with any of the following would be highly beneficial:
 
 <ul>
 <li>
 Prompt Engineering
 </li>
 <li>
 LLM evaluation
 </li>
 <li>
 Retrieval-Augmented Generation (RAG)
 </li>
 <li>
 AI benchmarking
 </li>
 <li>
 ROUGE/BLEU scoring
 </li>
 <li>
 AI quality evaluation frameworks such as
 
 DeepEval, Ragas or LangSmith
 
 </li>
 </ul>
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Bash scripting
 </li>
 <li>
 GitHub Actions
 </li>
 <li>
 Terraform (validation and governance)
 </li>
 <li>
 Serverless cloud architectures
 </li>
 <li>
 FinOps or cloud cost optimisation
 </li>
 <li>
 Experience working within highly regulated industries such as banking or financial services
 </li>
 </ul>
 
 
 
 
 
 Why Join?
 
 
 
 This is a chance to work on one of the most ambitious enterprise AI programmes in the Middle East.
 
</div>

Site Reliability Engineer

Deeplight

<div>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&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. 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. This role is designed for a rare breed of engineer: someone who possesses the deep mathematical and modeling background required to design advanced AI and Generative AI systems, paired with the full-stack infrastructure capabilities needed to deploy, containerize, scale, and monitor them across hybrid, cloud, and on-premise environments.
Operating within complex client landscapes&mdash;such as premier banking and financial institutions (e.g., ADCB)&mdash;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 ResponsibilitiesEnd-to-End AI Architecture &amp; Full-Stack Design<ul><li>
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).</li><li>
Design, build, and optimize high-throughput, secure APIs to serve complex AI models and agentic workflows to consuming client applications.</li><li>
Seamlessly integrate proprietary cloud foundation models (GPT, Claude, Gemini) and fine-tuned open-source models into unified software ecosystems.</li></ul>
Deep Learning &amp; Advanced AI Engineering<ul><li>
Leverage a deep theoretical understanding of Transformers, PyTorch, and TensorFlow to implement, evaluate, and optimize deep learning models across NLP and Computer Vision domains.</li><li>
Design scalable knowledge retrieval frameworks using embedding models and enterprise-grade Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss).</li><li>
Build and evaluate robust systematic prompting frameworks and compile complex models using ONNX for optimized, low-latency production inference.</li></ul>
Infrastructure, MLOps &amp; FinOps<ul><li>
Own the containerization and scaling of AI services utilizing Docker and Kubernetes clusters across development and production environments.</li><li>
Build and automate robust MLOps continuous integration and deployment pipelines to track model lineage, versions, evaluations, and production drift.</li><li>
Implement strict FinOps practices to track, monitor, and radically optimize token usage, cloud compute consumption, and inferencing costs.</li><li>
Architect and optimize large-scale data processing systems using modern Big Data tools to feed raw information into AI training and embedding workflows.</li></ul>
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 &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; 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 
We need you to have:<ul><li>
Extensive experience designing, launching, and managing containerized AI/ML or data-intensive applications in highly regulated enterprise environments.</li><li>
A proven track record applying deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) fields.</li><li>
Practical experience implementing production-grade model monitoring frameworks and optimizing complex cloud/token expenditure.</li><li>
Deep operational command of Docker and enterprise Kubernetes infrastructure for running distributed AI applications.</li><li>
Expert-level knowledge of Azure (or alternative major clouds) alongside a strong architectural grasp of on-premise deployment constraints, data security, and network topologies.</li><li>
Strong proficiency in Big Data toolsets and modern API gateway designs.</li><li>
A rigorous, foundational grasp of transformer architectures, embedding mechanics, and deep learning implementations via PyTorch/TensorFlow.</li><li>
High proficiency across SQL, NoSQL, and Vector Database engines.</li><li>
&quot;Perfect-tier&quot; software engineering skills in Python and advanced data processing techniques.</li></ul>
It would also be great if you have:<ul><li>
An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a highly relevant quantitative discipline.</li><li>
Deep domain experience within banking, understanding strict data residency laws, financial compliance protocols, and legacy core banking interactions.</li><li>
Practical experience with agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern cloud MLOps suites (e.g., Azure AI Studio, Kubeflow).</li></ul> 
Benefits 
The benefits you'll enjoy as part of this role include: 
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul> 
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.</div>

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