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artificial intelligence engineer

Revlab Intelligence

Role &amp; responsibilities As an Artificial Intelligence Engineer at REVLAB INTELLIGENCE, you will play a key role in designing, developing, and deploying AI-driven solutions that elevate businesses and streamline operations through automation and intelligent systems. Youll work closely with creative and business teams to transform innovative ideas into practical, scalable AI systems that power the next generation of digital enterprises. <ul> <li>Develop, train, and deploy machine learning and AI models for automation, chatbots, voice agents, and analytics tools.</li> <li>Build and integrate AI solutions into client workflows, CRMs, and web systems.</li> <li>Design intelligent process automation frameworks that optimize business performance.</li> <li>Collaborate with developers, content teams, and strategists to build AI-enhanced systems and tools.</li> <li>Work with different APIs and integrate AI services into digital platforms.</li> <li>Develop backend systems using Python, Voiceflow, MAKE etc for AI model deployment.</li> <li>Conduct research and experimentation with LLMs, NLP, computer vision, and reinforcement learning models.</li> <li>Continuously enhance system accuracy, reliability, and scalability using MLOps best practices.</li> <li>Document, test, and deploy models in production-ready environments (AWS, Azure, or GCP).</li> <li>Stay up to date with the latest advancements in AI and propose innovative applications for clients.</li> </ul>

Artificial Intelligence Engineer

Selfdrive

Job Role: AI Engineer- UAE BasedJob Summary:We are seeking a versatile AI Engineer to design, develop, and deploy AI-powered solutionsacross various business domains. This role requires a broad understanding of AI/MLtechnologies and the ability to translate business requirements into practical AI applications.Key ResponsibilitiesAI Solution Development<ul><li>Design and implement end-to-end AI applications from concept to production</li><li>Integrate Large Language Models (LLMs) and foundation models into business applications</li><li>Build RAG (Retrieval-Augmented Generation) systems and conversational AI interfaces</li><li>Develop autonomous AI agents and multi-agent systems for complex task automation</li><li>Implement MCP-compliant tool integrations for enhanced agent capabilities</li><li>Design agent-to-agent communication systems for collaborative problem solving</li><li>Create distributed agent networks with proper message passing and state synchronization</li><li>Design and implement AI workflows and orchestration pipelines for business processes</li><li>Create agentic systems with tool-calling, reasoning, and decision-making capabilities</li><li>Create proof-of-concepts and MVPs for AI-driven features</li><li>Develop computer vision, NLP, and predictive analytics solutions based on requirements</li></ul>Technical Implementation<ul><li>Write production-quality code in Python and relevant frameworks</li><li>Implement APIs and microservices for AI model serving</li><li>Build robust AI agents with error handling, retry logic, and fallback mechanisms</li><li>Design stateful workflows and agent coordination systems</li><li>Implement MCP (Model Context Protocol) for standardized tool integration</li><li>Build agent-to-agent communication systems for collaborative AI workflows</li><li>Develop protocol adapters for cross-platform agent interoperability</li><li>Implement tool integrations for agents (APIs, databases, external services)</li><li>Optimize model inference for latency and throughput requirements</li><li>Build data pipelines for model training and inference</li><li>Ensure scalability, reliability, and maintainability of AI systems</li></ul>Model Management<ul><li>Fine-tune and adapt pre-trained models for specific use cases</li><li>Implement prompt engineering strategies for LLM applications</li><li>Deploy models using cloud services (AWS, GCP, Azure) and edge devices</li><li>Monitor model performance and implement retraining pipelines</li><li>Manage model versioning and A/B testing frameworks</li></ul>Cross-functional Collaboration<ul><li>Work with product teams to identify AI opportunities and requirements</li><li>Collaborate with data engineers on data infrastructure needs</li><li>Partner with DevOps for CI/CD pipeline implementation</li><li>Communicate technical concepts to non-technical stakeholders</li><li>Document AI solutions and create technical specifications</li></ul>Required QualificationsEducation &amp; Experience<ul><li>Bachelor's degree in Computer Science, Engineering, Mathematics, or related field</li><li>3-5 years of experience in AI/ML engineering or related roles</li><li>Proven track record of deploying AI solutions in production environments</li></ul>Technical SkillsCore Programming &amp; Frameworks<ul><li>Strong proficiency in Python and its AI/ML ecosystem (NumPy, Pandas, Scikit-learn)</li><li>Experience with deep learning frameworks (PyTorch, TensorFlow, or JAX)</li><li>Familiarity with LLM frameworks (LangChain, LlamaIndex, Semantic Kernel)</li><li>Experience with AI agent frameworks (Langraph, AgentOps, Temporal)</li><li>Knowledge of MCP (Model Context Protocol) for tool and context management</li><li>Understanding of agent-to-agent communication standards and protocols</li><li>Experience with protocol bridges and agent interoperability solutions</li><li>Knowledge of workflow orchestration tools (Prefect, Dagster, Apache Airflow for AI</li><li>pipelines)</li><li>Understanding of function calling, tool use, and agent-environment interactions</li><li>Knowledge of web frameworks (FastAPI, Flask, or Django)</li></ul>AI/ML Expertise<ul><li>Understanding of machine learning algorithms and their applications</li><li>Experience with transformer models and attention mechanisms</li><li>Knowledge of AI agent architectures (ReAct, Chain-of-Thought, Tree-of-Thoughts)</li><li>Experience building autonomous agents and multi-agent orchestration systems</li><li>Familiarity with workflow automation tools and agentic frameworks (AutoGPT, CrewAI,</li><li>AutoGen)</li><li>Understanding of agent communication protocols (MCP - Model Context Protocol,</li><li>Agent-to-Agent protocols)</li><li>Experience implementing inter-agent communication and coordination mechanisms</li><li>Understanding of task planning, decomposition, and agent memory systems</li><li>Knowledge of computer vision techniques and frameworks (OpenCV, YOLO)</li><li>Familiarity with NLP techniques and libraries (spaCy, NLTK, Hugging Face)</li><li>Understanding of vector databases and embedding techniques</li></ul>Infrastructure &amp; Deployment<ul><li>Experience with containerization (Docker) and orchestration (Kubernetes)</li><li>Knowledge of ML deployment platforms (MLflow, Kubeflow, or SageMaker)</li><li>Familiarity with cloud AI services (OpenAI API, AWS Bedrock, Google Vertex AI)</li><li>Understanding of API design and RESTful services</li><li>Experience with version control (Git) and CI/CD pipelines</li></ul>Data &amp; Databases<ul><li>SQL proficiency and experience with relational databases</li><li>Knowledge of NoSQL databases (MongoDB, Redis)</li><li>Experience with vector databases (Pinecone, Weaviate, or Chroma)</li><li>Understanding of data processing and ETL pipelines</li></ul>Preferred QualificationsAdvanced Skills<ul><li>Master's degree in relevant field</li><li>Experience with MLOps practices and tools</li><li>Deep expertise in building production-grade AI agent systems</li><li>Hands-on experience with MCP implementation and custom MCP server development</li><li>Knowledge of agent-to-agent protocol design and implementation</li><li>Experience building federated agent networks and swarm intelligence systems</li><li>Expertise in cross-platform agent communication and handoff mechanisms</li><li>Experience with agent evaluation and testing frameworks</li><li>Knowledge of agent safety, alignment, and guardrails implementation</li><li>Experience with complex workflow orchestration and state management</li><li>Knowledge of distributed computing (Spark, Ray)</li><li>Familiarity with edge AI deployment</li><li>Experience with multimodal AI systems</li><li>Understanding of AI safety and responsible AI practices</li></ul>Domain Experience<ul><li>Experience in specific verticals (healthcare, finance, e-commerce, etc.)</li><li>Knowledge of regulatory requirements for AI systems</li><li>Experience with real-time AI applications</li><li>Background in data privacy and security</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical thinking abilities</li><li>Excellent communication skills for technical and non-technical audiences</li><li>Self-motivated with ability to work independently</li><li>Curiosity and passion for staying current with AI advancements</li><li>Experience mentoring junior team members</li></ul>Why Join Us:<ul><li>Cutting-Edge Work: Be part of a company that is redefining mobility tech through innovative solutions.</li><li>Collaborative Culture: Work alongside passionate engineers, product thinkers, and designers in a fast-paced environment.</li><li>Growth Opportunities: Get exposed to global projects, leadership responsibilities, and upskilling platforms.</li><li>Impact at Scale: Build technology that reaches thousands of users across the MENA region and beyond.</li><li>Employee-Centric Benefits: Competitive salary, visa support, and the opportunity to grow your career in a thriving tech ecosystem.</li></ul>If you're driven to create impactful mobile experiences and thrive in a fast-evolving tech environment, apply now and drive the future of mobility with us, - we want to hear from you!Apply Now &ndash; Send your CV to talent@self-drive.aeWorkplace Type: OnsiteApplication Open:Apply only if you can join us immediately or serving notice period.Location: B3, Office number 406, Dubai Commercity, Umm ramool, Al Rashidiya, Dubai, UAE.Job Types: Full-time, PermanentPay: Up to AED10,000.00 per month

AI Engineer

Thales

Location: Dubai, United Arab EmiratesIn fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.Thales has built a presence in the United Arab Emirates for over 35 years, and today has over 300 employees. Thales in the UAE is part of our Middle East business that has 1,800 people across Egypt, Iraq, Kuwait, KSA, Lebanon, Oman, Pakistan, Qatar and UAE. Together we delivered technology for the Dubai metro, the longest driverless metro network in the world and a fare collection system that processes up to 250,000 transactions per day. We make UAE a safer place by providing secure electronic payment solutions, cyber security systems and communications as well as security systems for Dubai International Airport and air traffic management and navigation systems for Abu Dhabi s airport.JOB OBJECTIVE We are seeking a talented and enthusiastic AI/ML professional to join our team. This position is ideal for recent graduates or final year students in Computer Science or IT Engineering who are passionate about machine learning and artificial intelligence.The incumbent will play a key role in helping us define a solution to digitalize documents and develop a system capable of predicting qualifications based on database analysis.ROLES &amp; RESPONSIBILITIES Collaborate with senior officials to understand project requirements and goals.Assist in the development and implementation of a machine-learning model to process and digitalize various documents.Work on algorithms that analyze data from the digital documents to make predictions about qualifications.Perform data preprocessing and cleaning to ensure high-quality input for the machine learning models.Conduct experiments and evaluations to measure the effectiveness of different models and approaches.Document processes, methodologies, and findings for future reference and knowledge sharing.Present progress updates and findings to the team in a clear and concise manner.WORK EXPERIENCE REQUIREMENTS Solid understanding of machine learning concepts and algorithms.Experience with programming languages such as Python, R, or Java.Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.Knowledge of data preprocessing techniques and tools.Strong analytical and problem-solving skills.Excellent communication and teamwork abilities.Ability to learn quickly and adapt to new challenges.QUALIFICATION, CERTIFICATION &amp; EDUCATIONAL REQUIREMENTS Educational background in Computer Science, IT Engineering, or a related field.PREFERRED SKILLS Experience with natural language processing (NLP) and document digitalization.Understanding of database design and management.Familiarity with cloud services and deployment (AWS, Azure, GCP).Previous internship or project experience in AI/ML.HSE RESPONSIBILITIES*Ensure both your own safety and the safety of others at all times.Maintain an active role in achieving the objectives and adhering to the HSE Thales PolicyComply with local HSE laws and legislation.To use safety equipment (including PPE) as required and intended.Lead by example and actively encourage departments to look at ways to conserve water &amp; energy, minimise the generation of waste, and encourage recycling.Every one within Thales has the right to stop work if they believe that their activities may affect their health and safety or that of others. In this circumstance, such conditions must be reported immediately to their line manager and the HSE department.At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!

Graduate AI/ML Engineer - UAE National

Mogi I/O

Job Details Job Location: Remote (Dubai-based operations) Industry: Information Technology and Services Function: Software Engineering / Development Job Type: Contract (3 months, hourly-based, no paid leaves or benefits) Position Overview As an AI Engineer, you will collaborate with researchers to identify suitable GitHub repositories, configure execution environments, validate bug-fix performance, and support AI model testing. Strong expertise in Rust, CI/CD pipelines, and open-source workflows is essential. What You ll Do * Identify and triage trending GitHub issues suitable for AI model evaluation. * Set up and configure development environments using Docker and similar tools. * Evaluate and maintain code quality, functionality, and unit test coverage. * Modify and run repositories to test AI-driven bug fixes and improvements. * Work closely with AI researchers to select repositories for experimental use cases. * (Optional) Guide junior engineers and ensure timely delivery of project tasks. Ideal Profile * 3 4+ years of professional Rust development experience. * Strong understanding of Git, GitHub workflows, Docker, and CI/CD pipelines. * Hands-on experience debugging and running complex, real-world codebases locally. * Exposure to AI/ML workflows and interest in LLM applications is a plus. * Excellent problem-solving and communication skills, capable of working independently.

AI Engineer Rust and Repo

Client of S&K HR Consulting

Our client is a leading software solutions organisation, who specialise in empowering businesses with innovative technology solutions by providing SaaS solutions tailored to business needs. 
They are currently hiring for an AI Engineer to own the end-to-end lifecycle of AI features, from data ingestion and RAG setup to fine-tuning, evaluation, deployment, and continuous improvement, so they can ship reliable, cost-effective AI products.
 
 Location: On-site (Dubai, UAE) 
 Type: Full-time 
 
 What You'll Do <ul> <li> Design and implement RAG pipelines (chunking, embeddings, vector stores, retrieval strategies) using tools like Ollama, LangChain, LlamaIndex, or equivalent. </li> <li> Stand up local and cloud LLM orchestration (prompt routing, tool use, function calling, guards) with strong observability. </li> <li> Run fine-tuning / LoRA / adapters; build data re-entry loops to capture outputs and feedback for secondary retraining. </li> <li> Create robust prompt engineering patterns (templates, guards, evals, versioning) and latency/cost controls. </li> <li> Build evaluation suites (RAGAS, custom golden sets, offline + online A/B tests) and quality dashboards. </li> <li> Productionize models with MLOps best practices (CI/CD, model registries, feature stores, experiment tracking). </li> <li> Ensure privacy, safety, and compliance (PII handling, red-teaming, prompt injection defenses, content filters). </li> <li> Collaborate with PM/Design/Eng to scope features and deliver increments quickly. </li> </ul>
 
 Must-Have Qualifications <ul> <li>3+ years shipping ML/AI systems, including at least one production RAG deployment. </li> <li> Hands-on with LangChain/Ollama (or similar), vector DBs (Pinecone, Weaviate, Milvus, pgvector), and embedding models. </li> <li> Experience with fine-tuning (HF Transformers, PEFT/LoRA) and dataset curation/cleaning. </li> <li> Strong Python skills; solid grasp of APIs, microservices, and async patterns. </li> <li> Familiar with LLM evals, metrics (precision@k, faithfulness, groundedness), and cost/perf tuning. </li> <li> Cloud/containerization: Docker, any of AWS/GCP/Azure, basic GPU/accelerator know-how. </li> </ul>
 
 Nice to Have <ul> <li> Llama 3/4, Mistral, OpenAI/Anthropic APIs; Guardrails/Gandalf; Weights &amp; Biases or MLflow. </li> <li> Feature stores, Kafka, Airflow; security hardening and secret management. </li> <li> Basic front-end to prototype admin/eval tools (React/Next.js). </li> </ul>
 
 Success Metrics <ul> <li> RAG answer quality (e.g., &gt;85% groundedness on eval set) and unit cost over time. </li> <li> P50 latency within target; model incidence rate (hallucinations, jailbreaks) MoM. </li> <li> Time-to-ship for new datasets/features.</li> </ul>

Job Details Job Location: Remote (Dubai-based operations) Industry: Information Technology and Services Function: Software Engineering / Development Job Type: Contract (3 months, hourly-based, no paid leaves or benefits) Position Overview As an AI Engineer, you will collaborate with researchers to identify suitable GitHub repositories, configure execution environments, validate bug-fix performance, and support AI model testing. Strong expertise in Rust, CI/CD pipelines, and open-source workflows is essential. What You ll Do * Identify and triage trending GitHub issues suitable for AI model evaluation. * Set up and configure development environments using Docker and similar tools. * Evaluate and maintain code quality, functionality, and unit test coverage. * Modify and run repositories to test AI-driven bug fixes and improvements. * Work closely with AI researchers to select repositories for experimental use cases. * (Optional) Guide junior engineers and ensure timely delivery of project tasks. Ideal Profile * 3 4+ years of professional Rust development experience. * Strong understanding of Git, GitHub workflows, Docker, and CI/CD pipelines. * Hands-on experience debugging and running complex, real-world codebases locally. * Exposure to AI/ML workflows and interest in LLM applications is a plus. * Excellent problem-solving and communication skills, capable of working independently.

AI Engineer Rust and Repos

Voxtel Smart Security Solutions LLC

Presales Engineer A qualified professional with a strong background in ELV systems design and estimation covering following fields:<ul><li> CCTV</li><li>Access Control</li><li>Networking Passive (Structured Cabling / Fiber Optics)</li><li>Intercom</li><li> SCS</li><li>ANPR</li><li>Public Address & BGM</li><li>Artificial Intelligence</li><li>Integrations</li></ul> � Key Responsibilities: <ul><li>Analyze project requirements and prepare technical/commercial proposals</li><li>Conduct site surveys, prepare BOQs, system designs, and compliance documents</li><li>Review tender documents, drawings, and specs for competitive bidding & Risk Analysis</li><li>Support the sales team in client presentations and technical clarifications</li><li>Stay up to date with local authority regulations and industry standards</li><li>Creating Strategy towards developing a winning bid</li><li>Training & Skill development</li><li>Onboarding New Technologies & Solutions</li><li>Communicate with venders for pricing and technical information.</li></ul>

Senior Presales Engineer - ELV

Explore 1758+ Artificial intelligence engineer in Dubai United Arab Emirates this November. Find roles across top companies and apply now to boost your career.

1758 artificial intelligence engineer jobs IN Dubai United Arab Emirates

Artificial Intelligence Engineer

AI Engineer

Graduate AI/ML Engineer - UAE National

AI Engineer Rust and Repo

AI Engineer

AI Engineer Rust and Repos

Senior Presales Engineer - ELV