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ai engineer

applications engineer

Mogi I/O

Job Title AI Engineer Rust and Repos (3 Months Contract) Remote Job Description AI Engineer Rust and Repos (3 Months Contract) Remote Role Summary We are seeking an experienced AI Engineer specializing in Rust and GitHub repository management for a 3-month remote contract. You will work on building and validating high-quality datasets for training and evaluating Large Language Models (LLMs) using real-world open-source projects. This role combines hands-on coding, environment setup, and AI-driven testing, offering a unique opportunity to work at the intersection of software engineering and artificial intelligence. 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

Job Title AI Services Engineer Python &amp; LangChain (3 Months Contract) Job Description AI Services Engineer Python &amp; LangChain (3 Months Contract) Role Summary We are hiring an experienced AI Services Engineer to design and implement scalable backend solutions powered by Large Language Models (LLMs). This fully remote, contract-based role focuses on building production-grade services, API integrations, and intelligent orchestration using modern AI frameworks such as LangChain and LangGraph. Job Details Job Location: Remote (Dubai-based operations) Industry: Information Technology and Services Function: Software Engineering / Development Job Type: Contract (3 months, fully remote, hourly-based) Position Overview As an AI Services Engineer, you will be responsible for building robust backend systems that integrate LLMs for real-world applications. You ll work on creating RAG pipelines, agent-driven workflows, and scalable APIs that power next-generation AI services. What You ll Do * Develop and maintain backend services and RESTful APIs using Python. * Build LLM-powered solutions, including Retrieval-Augmented Generation (RAG) pipelines and agent workflows. * Integrate LLMs like OpenAI or Anthropic using LangChain, LangGraph, or equivalent frameworks. * Implement observability, logging, and scalability measures for production systems. * Collaborate with cross-functional teams to ensure seamless integration and high-performance delivery. Ideal Profile * 5+ years of experience in backend or full-stack development (backend-focused). * Advanced proficiency in Python and API architecture. * Experience deploying LLM-driven solutions into production environments. * Hands-on knowledge of LangChain, LangGraph, or similar frameworks. * Familiarity with cloud environments, containerization, and CI/CD pipelines. * Strong communication and remote collaboration skills.

AI Services Engineer

Megan International DMCC

MEGAN International DMCC Dubai Leader in the field of Self-actuated Pressure Control Valves, Low Pressure Nitrogen Blanketing Systems, Gas Pressure Reducing Station with Safety Shut Off & Metering Skids Seeks applications for the position of Sales & Application Engineer ( MENA Region) to boost its rapidly expanding International sales team . Roles & Responsibilities : 1. Conduct in-depth technical presentations and product demonstrations to showcase the value of our solutions to potential clients, tailoring the message to their specific needs. 2. Collaborate closely with the sales team to identify and qualify new business opportunities, providing technical expertise to support the sales process from initial contact to closing. 3. Analyze customer requirements and develop customized application solutions, ensuring optimal performance and seamless integration with existing systems. 4. Provide technical support and troubleshooting assistance to customers, resolving complex issues and ensuring customer satisfaction.

Sales & Application Engineer

Ageless Medical Center

We are seeking an experienced and innovative AI Engineer to design, build, and deploy AI-driven solutions that enhance business operations and patient experience. The ideal candidate will have expertise in machine learning, natural language processing, and automation systems, with hands-on experience in developing and integrating AI models into production environments.Key Responsibilities<ul><li>Design, develop, and deploy AI/ML models and algorithms for business applications.</li><li>Build and maintain data pipelines for model training and validation.</li><li>Collaborate with software engineers, data scientists, and business teams to integrate AI capabilities into products and systems.</li><li>Apply deep learning, NLP, and computer vision techniques to solve real-world problems.</li><li>Optimize models for scalability, performance, and efficiency.</li><li>Analyze datasets to identify trends, anomalies, and predictive opportunities.</li><li>Stay updated with emerging AI technologies, frameworks, and best practices.</li><li>Prepare technical documentation and participate in project planning and progress reporting.</li><li>Ensure compliance with data security, governance, and ethical AI standards.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>3&ndash;6 years of experience in AI/ML model development, preferably within the UAE or GCC region.</li><li>Strong programming skills in Python and libraries such as TensorFlow, PyTorch, Keras, Scikit-learn.</li><li>Experience with cloud-based AI environments (AWS SageMaker, Google Vertex AI, Azure ML).</li><li>Solid understanding of data preprocessing, model evaluation, and deployment.</li><li>Familiarity with MLOps pipelines and version control tools (Git, Docker).</li><li>Excellent problem-solving, analytical, and teamwork skills.</li></ul>Job Type: Full-time

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

ClearVUE.Business

<div>
 
 
 Hi, we're ClearVUE Dubai
 
 
 
 
 
 
 ClearVUE Dubai is an environmental and energy consultancy and technology provider. We work with companies across all sectors to define and execute their carbon reduction and energy efficiency strategies on their wider ESG initiatives.
 
 
 
 
 
 Through comprehensive energy and carbon assessments and strategy building and implementation services, underpinned by industry-leading energy and carbon management technology, we are creating revolutionary solutions for businesses to eradicate their impact on the climate one step at a time.
 
 
 
 
 
 ClearVUE Dubai is part of Global Procurement Group, a multinational group of companies working in energy procurement and consultancy. Join our global family, with modern and vibrant offices in the UK, France, Malta, and India. Be part of a team leading the way in energy consultancy and helping businesses make informed decisions about their energy consumption.
 
 
 
 
 
 
 The opportunity
 
 
 
 
 
 
 Are you an AI engineer with a passion for data, innovation, and driving real-world impact? We&rsquo;re looking for a skilled and motivated AI Engineer to join our data team in Dubai. In this role, you&rsquo;ll work on impactful projects in energy and sustainability, applying advanced machine learning techniques, AI tools, and large language models (LLMs) to solve complex, real-world challenges and help shape the future of intelligent solutions.
 
 
 
 
 
 
 What exactly will you do?
 
 
 
 
 
 <ul>
 <li>
 Collaborate with our team to analyse and interpret data from diverse sources, including sensors, APIs, and customer platforms.
 </li>
 <li>
 Design, develop, and deploy machine learning models that predict trends, improve efficiency, and generate actionable insights from energy-related data.
 </li>
 <li>
 Build and integrate AI/ML solutions into production environments, ensuring scalability and reliability in real-world applications.
 </li>
 <li>
 Work with modern AI tools such as
 
 OpenAI, Hugging Face, and LangChain
 
 , applying
 
 Retrieval-Augmented Generation (RAG)
 
 and
 
 Model Context Protocol (MCP)
 
 techniques to enhance data relevance, context awareness, and explainability in AI-driven products.
 </li>
 <li>
 Stay current with the latest advancements in AI, data science, and MLOps tools, and bring innovative ideas to the team.
 </li>
 <li>
 Participate in brainstorming sessions, code reviews, and planning meetings; your technical perspective and creativity will help shape our solutions.
 </li>
 <li>
 Contribute to dashboards, reports, and prototypes that translate complex data into clear, actionable insights for clients and internal teams.
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 
 
 
 <ul>
 <li>
 3 &ndash; 5 years of experience working as an
 
 AI Engineer
 
 or similar role.
 </li>
 <li>
 Bachelor&rsquo;s Degree in
 
 Computer Science, Data Science, Engineering, Maths, Physics
 
 , or a related field.
 </li>
 <li>
 Hands-on experience with
 
 Python
 
 ,
 
 data analysis
 
 , or
 
 machine learning
 
 .
 </li>
 <li>
 Solid understanding of AI/ML concepts (e.g., building and evaluating models, using Jupyter notebooks, working with LLM APIs).
 </li>
 <li>
 Proficiency in data manipulation using tools such as
 
 pandas
 
 ,
 
 NumPy
 
 , and
 
 SQL
 
 .
 </li>
 <li>
 Experience with
 
 scikit-learn
 
 ,
 
 TensorFlow
 
 , or
 
 PyTorch
 
 , and familiarity with LLM frameworks such as
 
 OpenAI API
 
 or
 
 LangChain
 
 .
 </li>
 <li>
 Excellent communication skills; you can clearly explain technical concepts to both technical and non-technical audiences
 </li>
 <li>
 A proactive team player with a growth mindset, eager to learn, share knowledge, and contribute to meaningful projects
 </li>
 </ul>
 
 
 
 
 
 Nice to Have (but not expected)
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s Degree in related field.
 </li>
 <li>
 Experience implementing
 
 RAG pipelines
 
 or
 
 MCP-based integrations
 
 to connect AI models with live enterprise data sources.
 </li>
 <li>
 Knowledge of time series data or experience working with energy, IoT, or sustainability projects.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, GCP, or Azure) or tools like Git, Docker, or APIs.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 
 This is your chance to work with a team building technology that actually matters, not just another app, but a platform helping organisations become more energy efficient and sustainable. We&rsquo;ll support your growth, celebrate your ideas, and push the boundaries of what software can do in today&rsquo;s energy landscape.
 
 
 
 
 
 
 What&rsquo;s in it for you?
 
 
 
 
 
 
 💎
 
 Compensation Package:
 
 We offer a
 
 monthly base salary of 16,000 AED
 
 , plus
 
 comprehensive medical insurance.
 
 
 
 🌍
 
 Purpose-Driven Impact:
 
 Play a vital role in fighting climate change. Your work will directly contribute to reducing global carbon emissions and improving sustainability for businesses worldwide.
 
 
 🚀
 
 Ongoing Support and Development:
 
 Receive ongoing training, mentorship, and guidance from industry experts to help you build skills and develop professionally every step of the way.
 
 
 📈
 
 Clear Path to Advancement:
 
 We believe in nurturing our own; promotions from within are our specialty.
 
 
 
 
 
 
 GPG is an equal opportunity employer and applicants will be considered for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
 
 
</div>

AXONTEC

SALES ENGINEER

SCOPE OF WORK

<ul>
<li>Qualification Electrical or Mechanical Engineer graduate Engineer</li>
<li>License/Certification UAE driving License (Required)br&gt;
Able to join immediately</li>
<li>For more details go to https://axontec.ae/</li>
</ul>

SALES ENGINEER

Explore 2624+ Applications engineer in Dubai United Arab Emirates this November. Find roles across top companies and apply now to boost your career.

2624 applications engineer jobs IN Dubai United Arab Emirates

AI Engineer

AI Services Engineer

Sales & Application Engineer

AI Engineer

AI Engineer

AI Engineer

SALES ENGINEER