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associate production engineer

generative ai engineer

Global Software Solutions Group

<div>
 
 Description
 
 
 
 One of the UAE's most recognised banks is looking for a Senior Software Engineer who sits at the intersection of backend engineering and Generative AI. This is real AI work, not a buzzword job title. You will be building products used by millions of everyday banking customers across the UAE.
 
 
 
 About The Role
 
 
 
 You will design and build scalable, highly available RESTful APIs in Node.js and TypeScript, engineer and fine-tune prompts for LLM-based solutions via Azure OpenAI, and work across Azure AI services including Speech, Language, and PII Detection in a fully regulated banking environment.
 
 
 
 Technical Skills &amp; Requirements
 
 
 
 <ul>
 <li>
 Expertise in developing scalable, highly available RESTful APIs using Node.js
 </li>
 <li>
 Strong proficiency in TypeScript, JavaScript, and the latest ECMAScript standards
 </li>
 <li>
 Familiarity with asynchronous programming patterns including Promises, async/await, and event-driven architectures
 </li>
 <li>
 Hands-on experience designing, fine-tuning, and engineering prompts for LLM-based solutions via APIs and SDKs
 </li>
 <li>
 Working knowledge of Azure AI services including Speech, Language, OpenAI, and PII Detection
 </li>
 <li>
 Experience with ORMs and ODMs including Sequelize, TypeORM, or Mongoose
 </li>
 <li>
 Knowledge of implementing real-time communication using WebSockets
 </li>
 <li>
 Proficiency in CI/CD principles and active involvement in troubleshooting distributed services
 </li>
 <li>
 Experience with containerisation using Docker and Kubernetes
 </li>
 <li>
 Understanding of firewall and network security concepts and best practices for securing APIs in regulated environments
 </li>
 <li>
 Ability to write non-blocking code and apply advanced techniques such as multi-threading when needed
 </li>
 <li>
 Experience documenting code inline using JSDoc or similar conventions
 </li>
 <li>
 Ability to create automation test scripts is a plus
 </li>
 <li>
 Arabic language proficiency &mdash; written and spoken &mdash; is mandatory
 
 
 </li>
 </ul>
 
 Why This Role
 
 
 
 Technically strong team, household name client, strong compensation package, and long term stability in one of the most active tech markets in the region.
 
 
 
 Skills
 
 
 
 Node.js, TypeScript, Azure OpenAI, Generative AI, Prompt Engineering, WebSockets, Docker, Kubernetes, CI/CD, REST APIs, Microservices
</div>

Senior Software Engineer - GenAI & Node.js

GSSTech Group

<div>Description
One of the UAE's most recognised banks is looking for a Senior Software Engineer who sits at the intersection of backend engineering and Generative AI. This is real AI work, not a buzzword job title. You will be building products used by millions of everyday banking customers across the UAE.
About the Role
You will design and build scalable, highly available RESTful APIs in Node.js and TypeScript, engineer and fine-tune prompts for LLM-based solutions via Azure OpenAI, and work across Azure AI services including Speech, Language, and PII Detection in a fully regulated banking environment.
Technical Skills &amp; Requirements<ul><li>
Expertise in developing scalable, highly available RESTful APIs using Node.js</li><li>
Strong proficiency in TypeScript, JavaScript, and the latest ECMAScript standards</li><li>
Familiarity with asynchronous programming patterns including Promises, async/await, and event-driven architectures</li><li>
Hands-on experience designing, fine-tuning, and engineering prompts for LLM-based solutions via APIs and SDKs</li><li>
Working knowledge of Azure AI services including Speech, Language, OpenAI, and PII Detection</li><li>
Experience with ORMs and ODMs including Sequelize, TypeORM, or Mongoose</li><li>
Knowledge of implementing real-time communication using WebSockets</li><li>
Proficiency in CI/CD principles and active involvement in troubleshooting distributed services</li><li>
Experience with containerisation using Docker and Kubernetes</li><li>
Understanding of firewall and network security concepts and best practices for securing APIs in regulated environments</li><li>
Ability to write non-blocking code and apply advanced techniques such as multi-threading when needed</li><li>
Experience documenting code inline using JSDoc or similar conventions</li><li>
Ability to create automation test scripts is a plus</li><li>
Arabic language proficiency &mdash; written and spoken &mdash; is mandatory</li></ul>
Why This Role
Technically strong team, household name client, strong compensation package, and long term stability in one of the most active tech markets in the region.
Skills
Node.js, TypeScript, Azure OpenAI, Generative AI, Prompt Engineering, WebSockets, Docker, Kubernetes, CI/CD, REST APIs, Microservices</div>

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; AI Engineer
 
 
 
 Company
 
 &ndash; TCS (MEA)
 
 
 
 Location
 
 &ndash; Dubai
 
 
 
 Job type
 
 &ndash; Full time
 
 
 
 
 
 
 About Us:
 
 
 
 Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world&rsquo;s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile&trade; delivery model, recognized as a benchmark of excellence in software development.
 
 
 A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world&rsquo;s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 Key Accountabilities:
 
 
 <ul>
 <li>
 
 AI Solution Design &amp; Development:
 
 </li>
 <li>
 Design, build, and deploy AI-powered applications using Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services (Speech, Vision, Language), Azure AI Search, Azure Functions, and Azure Databricks.
 </li>
 <li>
 
 LLM Integration &amp; Generative AI:
 
 </li>
 <li>
 Develop and integrate Large Language Model (LLM) solutions using Azure OpenAI endpoints (GPT-4.1, GPT-4o, GPT-4o-mini) routed through FAB's centralized AI Hub gateway for governance, observability, and capacity management. Build enterprise use cases such as knowledge search, document intelligence, content summarization, call analytics, sentiment analysis, and workflow automation.
 </li>
 <li>
 
 Python Engineering &amp; Backend Development:
 
 </li>
 <li>
 Write clean, modular, and production-grade Python code for AI/ML model development, API integrations, data processing pipelines, backend services, and automation workflows using frameworks such as LangChain, LlamaIndex, Semantic Kernel, LangGraph, and FastAPI.
 </li>
 <li>
 
 RAG &amp; Semantic Retrieval:
 
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector search, semantic retrieval architectures, prompt engineering, and evaluation techniques for enterprise knowledge mining and document intelligence.
 </li>
 <li>
 
 Agentic AI Development:
 
 </li>
 <li>
 Design and develop intelligent agentic AI systems capable of planning, reasoning, tool execution, and orchestration across enterprise systems using FAB's GERNAS OS platform and Agent Development Kit (ADK) in a secure and governed manner.
 </li>
 <li>
 
 Model Evaluation &amp; Responsible AI:
 
 </li>
 <li>
 Implement model evaluation metrics for accuracy, hallucination detection, bias, latency, and throughput in alignment with FAB's Responsible AI framework. Ensure AI solutions comply with FAB's security, data privacy, model governance, and regulatory requirements, including controls for accuracy, hallucination, bias, latency, and resilience.
 </li>
 <li>
 
 Deployment &amp; Production Operations:
 
 </li>
 <li>
 Deploy, monitor, and optimize AI solutions in production environments using CI/CD practices, containerization, observability, logging, performance monitoring, and cost optimization techniques.
 </li>
 <li>
 
 Collaboration &amp; Stakeholder Engagement:
 
 </li>
 <li>
 Collaborate with data scientists, platform engineers, DevOps/MLOps engineers, business analysts, and product teams to convert business requirements into scalable AI solutions.
 </li>
 <li>
 
 Innovation &amp; Continuous Learning:
 
 </li>
 <li>
 Continuously evaluate emerging Azure AI, Generative AI, and Agentic AI capabilities and recommend practical adoption opportunities aligned with FAB's AI strategy. Stay abreast of state-of-the-art developments in generative AI and agentic architectures.
 </li>
 </ul>
 
 
 
 
 
 TECHNICAL SKILLS: minimum 3-4 yrs of working experience mandatory
 
 
 
 
 Azure AI Services:
 
 Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks.
 
 
 
 Python Programming:
 
 Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI).
 
 
 
 LLM &amp; Generative AI:
 
 Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniques.
 
 
 
 ML Libraries &amp; Frameworks:
 
 Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and NLP libraries (spaCy, NLTK).
 
 
 
 Vector Databases:
 
 Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinecone.
 
 
 
 DevOps/MLOps:
 
 Hands-on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insights.
 
 
 
 Cloud Security &amp; Integration:
 
 Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration patterns.
 
 
 
 AI Ethics &amp; Governance:
 
 Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI systems.
 
 
 
 
 
 
 KNOWLEDGE, SKILLS, &amp; EXPERIENCE
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or related field; Master's degree is preferred. Microsoft Certified: Azure AI Engineer Associate (AI-102) certification is highly preferred.
 
 
 
 
 Minimum Experience:
 
 
 
 
 3+ years of hands-on experience in designing, developing, and deploying AI/ML or Generative AI solutions in production environments.
 
 
 Mandatory hands-on experience with Microsoft Azure AI Services.
 
 
 Experience working with large-scale datasets and real-time enterprise data.
 
 
 Experience in financial services, banking, risk, compliance, customer service, or regulated enterprise environments is an advantage.
 
 
 
 
 Knowledge and Skills:
 
 
 
 
 
 Business Understanding:
 
 
 
 Strong understanding of business processes and the ability to identify opportunities for AI-driven optimization and automation across banking domains.
 
 
 
 Analytical &amp; Problem-Solving:
 
 
 
 Excellent analytical, problem-solving, debugging, and performance optimization skills with the ability to troubleshoot AI applications in production and translate complex business problems into AI solutions.
 
 
 
 Communication Skills:
 
 
 
 Strong verbal and written communication skills, capable of explaining complex AI concepts to both technical and non-technical stakeholders.
 
 
 
 Collaboration:
 
 
 
 Proven ability to work effectively in cross-functional teams, collaborating with data scientists, platform engineers, DevOps engineers, business analysts, and product teams.
 
 
 
 Responsible AI Mindset:
 
 
 
 Understanding of AI governance, model risk, data privacy, security, and compliance requirements in a regulated banking environment.
 
 
 
 Production Engineering:
 
 
 
 Ability to build, deploy, monitor, and optimize production-grade AI systems with attention to reliability, scalability, cost, and operational excellence.
 
 
 
 Adaptability &amp; Learning:
 
 
 
 Willingness to stay updated on the latest AI technologies, agentic frameworks, and cloud services, and the ability to apply them to solve evolving business challenges.
 
 
 Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.
 
 
 
 
 
 
 Application Deadline: 30- July -2026
 
 
 
 
 
 
 
 Privacy Note:
 
 
 
 https://www.tcs.com/connect-with-tcs/privacy-policy
 
</div>

AI Engineer

<div>We are seeking a highly skilled Senior Software Engineer (GenAI + Node.js) to join a leading enterprise technology team in Dubai. Operating within the Software Engineering Chapter, this role focuses on the end-to-end delivery of scalable technology platforms and advanced integration services.
The ideal candidate will combine expert-level backend engineering in Node.js/TypeScript with hands-on experience integrating Generative AI solutions and Large Language Models (LLMs). This role requires an Arabic speaker who can also champion automation testing practices to deliver robust, secure, and highly available distributed systems. 
Requirements 
 
Key Responsibilities1. Backend Engineering &amp; Integration<ul><li>
Design, develop, and maintain highly scalable, reliable, and non-blocking RESTful APIs and real-time communication architectures using Node.js and WebSockets.</li><li>
Write clean, secure, and maintainable asynchronous code using TypeScript and modern ECMAScript standards, utilizing multi-threading techniques when required.</li><li>
Manage end-to-end data layers by utilizing ORMs/ODMs such as Sequelize, TypeORM, or Mongoose for seamless database interactions.</li><li>
Maintain thorough, comprehensive system documentation utilizing inline code standards like JSDoc.</li></ul>
2. Generative AI &amp; Azure Cloud Solutions<ul><li>
Design, fine-tune, and execute prompt engineering for Large Language Model (LLM)-based solutions, integrating them seamlessly into production via APIs or SDKs.</li><li>
Architect and manage Azure AI services, specifically focusing on Azure OpenAI, Speech, Language, and PII detection capabilities.</li></ul>
3. Platform Architecture, DevOps &amp; Security<ul><li>
Troubleshoot, debug, and optimize performance across a distributed services ecosystem, maintaining a sharp understanding of the platform, database, caching layers, and proxies.</li><li>
Own and optimize the CI/CD pipeline for zero-downtime, remote deployments within containerized environments using Docker and Kubernetes.</li><li>
Enforce strict firewall, network security, and data protection best practices to secure APIs within highly regulated enterprise environments.</li></ul>
4. Quality Assurance &amp; Automation Testing<ul><li>
Actively drive quality engineering by creating, executing, and maintaining automated test scripts to guarantee continuous regression testing and platform stability.</li></ul>
Required Technical Specifications &amp; SkillsCore Technical Stack (Essential)<ul><li>
Backend &amp; Language: Expert-level proficiency in Node.js, JavaScript, and TypeScript (including DOM manipulation and modern ECMAScript patterns).</li><li>
AI Expertise: Deep familiarity with GenAI solutions, Prompt Engineering, and Azure AI Services (OpenAI, PII detection, Speech, Language).</li><li>
Databases &amp; Tooling: Strong experience with Git version control, Remote Deployment Tools, and ORMs/ODMs (TypeORM, Sequelize, or Mongoose).</li><li>
DevOps &amp; Security: Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and API network security principles.</li></ul>
Quality Assurance (Preferred)<ul><li>
Proven ability or strong preference for creating and managing functional automation test scripts.</li></ul>
Qualifications &amp; Experience<ul><li>
Language Requirement: Must be a fluent Arabic speaker (Written and Verbal).</li><li>
Experience: Proven track record as a Senior Software Engineer with deep experience delivering high-performance Node.js environments and AI integrations.</li><li>
Location: Dubai, UAE (On-site / Hybrid as per company policy).</li><li>
Soft Skills: Strong problem-solving capabilities in a distributed architecture, excellent communication skills, and a collaborative team mindset.</li></ul></div>

Senior Software Engineer (Arabic speaker)

D4 Insight

<div>Location: Dubai, UAE 
Experience: 8+ Years
<h3 class="jobSectionHeader">
Role Overview:</h3>

We are looking for highly skilled Senior Software Engineer &ndash; Node.js with GenAI Expertise to design and develop intelligent, scalable, and multilingual applications powered by Large Language Models (LLMs) and Azure AI services.

The ideal candidate will be fluent in Arabic and possess strong expertise in backend engineering, AI integration, distributed systems, cloud-native development, and secure enterprise application design.
<h3 class="jobSectionHeader">
Key Responsibilities:</h3>
<h4 class="jobSectionHeader">Backend Development</h4>
<ul><li>Design, develop, and maintain scalable RESTful APIs using Node.js and TypeScript.</li>
<li>Build secure and high-performance backend services and distributed systems.</li>
<li>Develop event-driven and asynchronous applications using modern Node.js patterns.</li>
<li>Implement WebSocket-based real-time communication services.</li>
</ul><h4 class="jobSectionHeader">Generative AI &amp; Azure AI Integration</h4>
<ul><li>Integrate LLM-powered solutions using APIs and SDKs.</li>
<li>Develop prompt engineering strategies and AI-powered business workflows.</li>
<li>Build intelligent multilingual applications leveraging Azure AI services.</li>
<li>Work with speech, language, OpenAI, and PII detection services.</li>
<li>Support AI model integration, optimization, and monitoring.</li>
</ul><h4 class="jobSectionHeader">Cloud &amp; Platform Engineering</h4>
<ul><li>Deploy applications using Docker and Kubernetes.</li>
<li>Support cloud-native deployments and scalable architectures.</li>
<li>Implement CI/CD pipelines and deployment automation.</li>
<li>Troubleshoot distributed systems and production environments.</li>
</ul><h4 class="jobSectionHeader">Database &amp; Data Management</h4>
<ul><li>Develop and optimize database solutions using Sequelize, TypeORM, and Mongoose.</li>
<li>Design efficient data models and application persistence layers.</li>
<li>Optimize application performance and database interactions.</li>
</ul><h4 class="jobSectionHeader">Security &amp; Compliance</h4>
<ul><li>Implement API security and secure coding standards.</li>
<li>Ensure compliance with enterprise security and regulatory requirements.</li>
<li>Support authentication, authorization, and data protection initiatives.</li>
</ul><h4 class="jobSectionHeader">Quality Engineering</h4>
<ul><li>Develop automated testing frameworks and scripts.</li>
<li>Perform code reviews and maintain high-quality development standards.</li>
<li>Document solutions using JSDoc and technical documentation standards.</li>
</ul><h4 class="jobSectionHeader">Collaboration &amp; Stakeholder Engagement</h4>
<ul><li>Work closely with cross-functional teams to deliver enterprise-grade solutions.</li>
<li>Participate in Agile development practices and sprint ceremonies.</li>
<li>Support Arabic-speaking business users and stakeholders.</li>
</ul><h3 class="jobSectionHeader">Required Skills:</h3>
<h4 class="jobSectionHeader">Backend Engineering</h4>
<ul><li>Node.js</li>
<li>TypeScript</li>
<li>JavaScript (ES6+)</li>
<li>REST APIs</li>
<li>WebSockets</li>
<li>Event-Driven Architecture</li>
</ul><h4 class="jobSectionHeader">Generative AI</h4>
<ul><li>Large Language Models (LLMs)</li>
<li>Prompt Engineering</li>
<li>Azure OpenAI</li>
<li>Azure AI Services</li>
<li>GenAI Integrations</li>
</ul><h4 class="jobSectionHeader">Databases</h4>
<ul><li>Sequelize</li>
<li>TypeORM</li>
<li>Mongoose</li>
<li>SQL &amp; NoSQL Databases</li>
</ul><h4 class="jobSectionHeader">DevOps &amp; Cloud</h4>
<ul><li>Docker</li>
<li>Kubernetes</li>
<li>CI/CD Pipelines</li>
<li>Git</li>
<li>Deployment Automation</li>
</ul><h4 class="jobSectionHeader">Security &amp; Performance</h4>
<ul><li>API Security</li>
<li>Network Security Fundamentals</li>
<li>Distributed Systems</li>
<li>Performance Optimization</li>
<li>Multi-threading Concepts</li>
</ul><h3 class="jobSectionHeader">Mandatory Requirements:</h3>
<ul><li>8+ years of software engineering experience</li>
<li>Strong Node.js development expertise</li>
<li>Hands-on GenAI and LLM integration experience</li>
<li>Fluency in Arabic (spoken and written) is mandatory</li>
<li>Strong communication and stakeholder management skills</li>
</ul>
 Apply Now: [email protected]</div>

Senior Software Engineer – Node.js with GenAI Expertise (Arabic Speaker)

Jorofy Private Limited

We are seeking a highly skilled Senior AI Engineer (PhD) to lead the design, development, and deployment of advanced Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess a PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field, along with extensive industry experience in developing AI-driven products, conducting research, and translating innovative concepts into scalable enterprise solutions.The role requires expertise in Generative AI, Large Language Models (LLMs), Deep Learning, Natural Language Processing (NLP), Computer Vision, and MLOps practices.Key ResponsibilitiesAI Research &amp; Innovation<ul><li>Conduct advanced research in Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.</li><li>Evaluate emerging AI technologies, frameworks, and methodologies to enhance organizational capabilities.</li><li>Publish research findings, technical papers, patents, or contribute to industry thought leadership initiatives.</li><li>Lead proof-of-concept (PoC) development for innovative AI solutions.</li></ul>Solution Design &amp; Development<ul><li>Architect and develop scalable AI/ML models and intelligent systems.</li><li>Design and optimize Large Language Model (LLM)-based applications and AI agents.</li><li>Build and fine-tune machine learning and deep learning models for production environments.</li><li>Develop AI-powered applications involving NLP, Computer Vision, Predictive Analytics, and Recommendation Systems.</li><li>Integrate AI solutions with enterprise platforms, APIs, and cloud environments.</li></ul>Generative AI &amp; LLM Engineering<ul><li>Develop and optimize Retrieval-Augmented Generation (RAG) architectures.</li><li>Fine-tune foundation models and implement prompt engineering strategies.</li><li>Design AI agents, autonomous workflows, and conversational AI solutions.</li><li>Implement vector databases and semantic search frameworks.</li><li>Evaluate model performance, accuracy, safety, and responsible AI practices.</li></ul>MLOps &amp; Deployment<ul><li>Build end-to-end ML pipelines for model training, deployment, monitoring, and maintenance.</li><li>Implement CI/CD processes for AI applications.</li><li>Optimize model performance, scalability, and infrastructure costs.</li><li>Monitor model drift and ensure continuous improvement.</li></ul>Leadership &amp; Collaboration<ul><li>Provide technical leadership and mentorship to AI Engineers, Data Scientists, and ML Engineers.</li><li>Collaborate with business stakeholders to identify AI opportunities and define solution roadmaps.</li><li>Participate in strategic technology planning and AI transformation initiatives.</li><li>Review code, architecture, and technical deliverables to ensure quality standards.</li></ul>Required QualificationsEducation<ul><li>PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Mathematics, Statistics, or a related discipline.</li></ul>Experience<ul><li>8+ years of experience in AI/ML development, including research and production deployment.</li><li>Proven experience leading AI projects in enterprise environments.</li><li>Experience working with Generative AI, LLMs, and advanced deep learning architectures.</li></ul>Technical SkillsProgramming<ul><li>Python (Advanced)</li><li>SQL</li><li>Java, C++, or Scala (Preferred)</li></ul>AI/ML Frameworks<ul><li>PyTorch</li><li>TensorFlow</li><li>Keras</li><li>Scikit-learn</li><li>Hugging Face Transformers</li></ul>Generative AI &amp; LLM Technologies<ul><li>OpenAI APIs</li><li>LangChain</li><li>LangGraph</li><li>LlamaIndex</li><li>RAG Architectures</li><li>Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li></ul>Cloud Platforms<ul><li>AWS</li><li>Microsoft Azure</li><li>Google Cloud Platform (GCP)</li></ul>MLOps &amp; DevOps<ul><li>Docker</li><li>Kubernetes</li><li>MLflow</li><li>Kubeflow</li><li>Jenkins</li><li>GitHub Actions</li></ul>Databases<ul><li>PostgreSQL</li><li>MongoDB</li><li>Vector Databases</li></ul>Preferred Qualifications<ul><li>Publications in reputed journals or AI conferences (NeurIPS, ICML, ICLR, ACL, CVPR, etc.).</li><li>Experience in Agentic AI, Autonomous Systems, and Multi-Agent Frameworks.</li><li>Knowledge of AI Governance, Responsible AI, Explainable AI (XAI), and AI Security.</li><li>Industry certifications in Cloud, AI, or Machine Learning technologies.</li></ul>Core Competencies<ul><li>Strategic Thinking</li><li>Research &amp; Innovation</li><li>Problem Solving</li><li>Leadership &amp; Team Mentoring</li><li>Stakeholder Management</li><li>Communication &amp; Presentation Skills</li><li>Analytical Thinking</li><li>Project Management</li></ul>Key Deliverables<ul><li>Production-ready AI and Generative AI solutions.</li><li>Scalable machine learning pipelines and architectures.</li><li>AI research initiatives and innovation roadmaps.</li><li>Performance optimization and continuous model improvement.</li><li>Technical mentorship and knowledge-sharing across teams.</li></ul>Experience Required: 8&ndash;15+ Years Education: PhD (Mandatory) Level: Senior / Lead Individual Contributor or Technical Lead Role.Education:<ul><li>Master's (Preferred)</li></ul>Experience:<ul><li>Senior Engineer: 10 years (Required)</li></ul>Work Location: In person

Senior AI Engineer (PhD)

Searchability®

<div>
 
 Senior QA Engineer
 
 
 
 Location:
 
 Dubai - 2/3 days in office per week
 
 
 
 Salary:
 
 Competitive + Benefits
 
 
 
 Recruitment Partner:
 
 Searchability
 
 
 
 
 
 About the Opportunity
 
 
 Searchability is delighted to be supporting an innovative AI-driven technology business in the search for a Senior QA Engineer. This is an opportunity to join a team building sophisticated data products and conversational AI systems, where quality, reliability and responsible AI are central to product success.
 
 
 We're looking for a highly analytical QA professional with strong automation experience who is passionate about testing modern AI applications, large language models (LLMs) and complex data workflows.
 
 
 
 
 
 The Role
 
 
 As a Senior QA Engineer, you will lead quality assurance efforts across AI-powered products, data platforms and conversational agents. You will be responsible for defining quality standards, building automated testing frameworks and ensuring AI systems behave reliably, safely and consistently in production environments.
 
 
 Working closely with Engineering, Data Science, Machine Learning and Product teams, you'll help establish best practices for testing generative AI applications while driving automation across the wider software development lifecycle.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Design and execute testing strategies for conversational AI and generative AI products.
 </li>
 <li>
 Develop and maintain automated testing frameworks using JavaScript and Python.
 </li>
 <li>
 Create and execute chatbot testing scenarios covering user intent, conversation flows, edge cases and behavioural consistency.
 </li>
 <li>
 Design LLM testing approaches including prompt validation, grounding validation, golden datasets and non-deterministic testing methodologies.
 </li>
 <li>
 Perform AI safety and quality testing, including hallucination detection, bias assessment, toxicity testing and PII leakage validation.
 </li>
 <li>
 Validate structured and unstructured data outputs to ensure accuracy, consistency and compliance.
 </li>
 <li>
 Establish testing approaches for real-time and streaming data systems.
 </li>
 <li>
 Conduct API testing using both manual and automated techniques.
 </li>
 <li>
 Collaborate with Machine Learning and NLP teams to define evaluation frameworks and performance metrics.
 </li>
 <li>
 Leverage AI-assisted development tools such as GitHub Copilot, Claude and ChatGPT to enhance testing, documentation and defect analysis processes.
 </li>
 <li>
 Drive QA best practices across automation, data quality and AI product validation.
 </li>
 </ul>
 
 
 
 
 Required Experience
 
 <ul>
 <li>
 8+ years' experience in QA Engineering with a strong focus on automation testing.
 </li>
 <li>
 5+ years' experience testing data platforms, data products or data-intensive systems.
 </li>
 <li>
 Strong automation experience using JavaScript and/or Python.
 </li>
 <li>
 Proven experience testing AI-powered applications and leveraging AI tools within QA workflows.
 </li>
 <li>
 Strong understanding of API testing methodologies and tooling.
 </li>
 <li>
 Excellent analytical and problem-solving skills with exceptional attention to detail.
 </li>
 <li>
 Experience identifying subtle inconsistencies in data quality, system behaviour and AI outputs.
 </li>
 </ul>
 
 
 
 
 Desirable Experience
 
 <ul>
 <li>
 Experience testing conversational AI, chatbots or virtual assistants.
 </li>
 <li>
 Familiarity with Large Language Models (LLMs) and Generative AI systems.
 </li>
 <li>
 Experience with prompt engineering validation, grounding techniques and AI evaluation frameworks.
 </li>
 <li>
 Knowledge of AI safety testing, including hallucination detection, bias testing and PII validation.
 </li>
 <li>
 Experience with tools such as PyTest, Postman, dbt Tests and modern automation frameworks.
 </li>
 <li>
 Exposure to machine learning, NLP or data science environments.
 </li>
 </ul>
 
 
 
 
 Technology &amp; Tools
 
 <ul>
 <li>
 JavaScript
 </li>
 <li>
 Python
 </li>
 <li>
 PyTest
 </li>
 <li>
 Postman
 </li>
 <li>
 API Testing
 </li>
 <li>
 dbt Tests
 </li>
 <li>
 LLMs &amp; Generative AI
 </li>
 <li>
 Conversational AI Platforms
 </li>
 <li>
 AI-Assisted Development Tools (Copilot, Claude, ChatGPT)
 </li>
 </ul>
 
 
 
 
 What's on Offer?
 
 <ul>
 <li>
 Opportunity to work on cutting-edge AI and conversational agent technologies.
 </li>
 <li>
 Exposure to modern LLM evaluation and AI testing frameworks.
 </li>
 <li>
 Collaborative environment working alongside ML, NLP and Data Engineering specialists.
 </li>
 <li>
 Significant influence over QA strategy and testing standards.
 </li>
 <li>
 Career growth within a rapidly evolving AI-focused organisation.
 </li>
 </ul>
 
 
 
 
 If you're passionate about quality engineering, AI systems and automation-first testing practices, we'd love to hear from you.
 
</div>

Senior Quality Assurance Engineer

Explore 560+ Generative ai engineer in Dubai this July. Find roles across top companies and apply now to boost your career.

560 generative ai engineer jobs In Dubai

Senior Software Engineer - GenAI & Node.js

Senior Software Engineer - GenAI & Node.js

AI Engineer

Senior Software Engineer (Arabic speaker)

Senior Software Engineer – Node.js with GenAI Expertise (Arabic Speaker)

Senior AI Engineer (PhD)

Senior Quality Assurance Engineer