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ai engineer

Radius Interior Design

We are seeking a highly skilled and motivated AI Engineer to join our innovative team. The ideal candidate is a Python expert with a passion for artificial intelligence and a proven track record of building and deploying robust, scalable applications. You will be at the forefront of developing cutting-edge AI-powered solutions, from creating intelligent chatbots to integrating sophisticated large language models (LLMs).Key Responsibilities<ul><li>Develop and Maintain APIs: Design, build, and deploy high-performance, scalable APIs using Python frameworks such as Django, Flask, or FastAPI.</li><li>AI Model Integration: Integrate and fine-tune open-source AI models from platforms like Hugging Face. You will also be responsible for integrating third-party services, including the OpenAI API, to build advanced AI applications.</li><li>Chatbot and LLM Development: Architect, build, and deploy intelligent chatbots and other applications leveraging Large Language Models (LLMs).</li><li>Deployment and DevOps: Containerize applications using Docker and deploy them on cloud platforms (e.g., AWS, GCP, Azure). You will also manage and improve our CI/CD pipelines to ensure smooth and efficient deployment cycles.</li><li>Version Control: Utilize GitHub for version control, collaboration, and code reviews, maintaining high standards for code quality and documentation.</li></ul>Qualifications and Skills<ul><li>Experience: A minimum of 2+ years of professional experience in Python development.</li><li>Python Mastery: Expert-level proficiency in Python and hands-on experience with at least one of the following web frameworks: Django, Flask, or FastAPI.</li><li>DevOps &amp; Cloud: Demonstrable experience with Docker for containerization and deploying applications on a major cloud provider (AWS, Google Cloud, Azure). Solid understanding of Git/GitHub workflows and CI/CD principles.</li><li>AI and Machine Learning: Strong familiarity with the AI landscape, including hands-on experience with the Hugging Face ecosystem (Transformers, Datasets, etc.) and integrating LLMs.</li><li>API Integration: Proven experience integrating external APIs, specifically the OpenAI API, into applications.</li><li>Problem-Solving: Excellent analytical and problem-solving skills with the ability to work independently and as part of a team.</li></ul>If you are a forward-thinking engineer who is excited about shaping the future of AI, we encourage you to apply!Job Type: Full-timePay: AED6,000.00 - AED10,000.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>Please confirm you have reviewed and agree with the salary range by typing 'Yes' below.</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI: 2 years (Required)</li><li>Python: 2 years (Required)</li></ul>Location:<ul><li>Abu Dhabi (Preferred)</li></ul>Work Location: In person

AI Engineer

RE/MAX Smart Concept

Job Title: AI Automation EngineerLocation: Abu Dhabi, UAE Job Type: Full-Time | Office-Based Company: RE/MAX Smart Concept Real EstateAbout the PositionRE/MAX Smart Concept Real Estate is seeking a highly capable AI Automation Engineer to build and maintain automation workflows across our CRM and internal operational systems.This role is hands-on and execution focused, responsible for developing reliable automation systems, implementing API integrations, and ensuring long-term system stability.We are looking for a professional who can design and manage automation infrastructure that operates consistently, efficiently, and without disruption.Real Estate Industry Experience &ndash; Highly PreferredCandidates with experience working within real estate technology environments will be given priority, especially those familiar with:<ul><li>Real estate brokerage systems</li><li>Property management platforms</li><li>CRM environments used in real estate companies</li><li>Lead routing and distribution systems</li><li>Property listing integrations</li><li>Portal connectivity and data synchronization</li></ul>Understanding agent workflows, listing distribution, and real estate lead management will be considered a strong advantage.Key Responsibilities<ul><li>Design and implement automation workflows using Make, Zapier, or n8n</li><li>Integrate CRM systems using API-based read and write operations</li><li>Connect automation workflows with platforms such as:</li><li>Slack</li><li>Email systems</li><li>WhatsApp Business API</li><li>Implement structured logging, monitoring, retry mechanisms, and error handling</li><li>Test, document, and maintain automation systems</li><li>Ensure reliability, performance, and long-term operational stability</li><li>Maintain ownership of automation infrastructure and integrations</li></ul>Required Qualifications<ul><li>Strong hands-on experience with Make, Zapier, or n8n</li><li>Proven experience integrating CRM platforms through APIs (Bitrix24 or similar systems preferred)</li><li>Experience integrating Slack, Email services, and WhatsApp Business API</li><li>Solid understanding of:</li><li>REST APIs</li><li>Webhooks</li><li>Automation logic (Trigger &rarr; Action)</li><li>Data flow architecture</li><li>Error handling and retry strategies</li></ul>Important Notes<ul><li>This role focuses strictly on automation engineering and system execution</li><li>The position does not involve AI model training or LLM research</li><li>No responsibilities related to CRM redesign or consulting</li><li>Long-term ownership of automation systems is expected</li><li>We are looking for candidates with production-level experience and a strong focus on system reliability</li></ul>Employment DetailsEmployment Type: Full-Time Location: Abu Dhabi, UAE (Office-Based) Department: Technology / SystemsThis position offers long-term responsibility for automation infrastructure within a growing real estate organization.Application ProcessInterested candidates should submit their CV along with a short summary including:<ul><li>Examples of automation systems built in production</li><li>CRM platforms integrated</li><li>Tools and technologies used</li><li>Experience working with real estate companies (if applicable)</li></ul>Applications may be submitted via Indeed or sent directly to:hr@remax-sc.comJob Type: Full-timeExperience:<ul><li>Real Estate : 1 year (Required)</li></ul>Location:<ul><li>Abu Dhabi (Abu Dhabi) (Required)</li></ul>Work Location: In person

AI Automation Engineer - Real Estate

cander

<div>
 
 
 Job Title:
 
 LLM Engineer
 
 
 
 Location:
 
 Abu Dhabi, United Arab Emirates
 
 
 
 Contract Duration:
 
 6 Months
 
 
 
 Start Date:
 
 Immediate / As soon as possible
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking an experienced LLM Engineer to join an innovative AI initiative within the construction and infrastructure sector. This is a hands-on role focused on designing, fine-tuning, and deploying large language models (LLMs) for real-world applications such as document interpretation, technical data extraction, and construction project automation.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, train, and evaluate LLMs optimized for domain-specific use cases in the construction industry.
 </li>
 <li>
 Work across the full lifecycle: data collection, preprocessing, training, evaluation, and deployment.
 </li>
 <li>
 Develop and implement evaluation metrics to measure model accuracy, efficiency, and reliability.
 </li>
 <li>
 Fine-tune open-source foundation models using proprietary or structured data sets.
 </li>
 <li>
 Collaborate with teams to integrate models into decision-making and automation tools.
 </li>
 <li>
 Stay up-to-date with the latest model architectures, inference strategies, and efficiency techniques.
 </li>
 <li>
 Troubleshoot model issues and optimize performance on large-scale infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Required Skills and Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, Data Engineering, or a related field.
 </li>
 <li>
 Proven experience building and deploying LLMs (e.g., using Hugging Face, OpenAI, Anthropic, or local inference frameworks).
 </li>
 <li>
 Strong understanding of model evaluation metrics (BLEU, F1, perplexity, ROUGE, etc.).
 </li>
 <li>
 Proficiency in Python and AI frameworks such as PyTorch or TensorFlow.
 </li>
 <li>
 Experience in data preparation, prompt engineering, and synthetic data generation workflows.
 </li>
 <li>
 Familiarity with vector databases (Pinecone, FAISS, or Weaviate) and retrieval-augmented generation (RAG) pipelines.
 </li>
 <li>
 Interest or prior exposure to construction or engineering datasets is a strong plus.
 </li>
 </ul>
 
 
 
 
 
 Click Easy Apply on LinkedIn
 
 to submit your profile.
 
 
 
</div>

LLM Engineer

Greenfield Marine Technologies

We are looking for a hands-on GenAI Engineer to design, build, and deploy production-grade AI applications powered by Large Language Models (LLMs). This role is focused on turning business use cases into reliable, scalable AI solutions such as copilots, knowledge assistants, document intelligence tools, and workflow automation systems.The ideal candidate combines strong software engineering skills with practical experience in LLM application development, Retrieval-Augmented Generation (RAG), prompt engineering, model evaluation, and API integration. This person should be comfortable moving from prototype to production while optimizing for quality, latency, security, and cost. This builds on the original JD&rsquo;s emphasis on LLM apps, RAG, integrations, vector databases, and cloud deployment.Key Responsibilities:<ul><li>Design, develop, and deploy GenAI applications using LLMs for real-world business workflows.</li><li>Build AI-powered solutions such as chatbots, copilots, knowledge assistants, search assistants, and workflow automation tools</li><li>Architect and optimize RAG pipelines using structured and unstructured enterprise data.</li><li>Develop robust prompt strategies, guardrails, and response orchestration for accuracy and safety.</li><li>Integrate AI capabilities into web applications, backend systems, APIs, and enterprise platforms.</li><li>Work with vector databases and retrieval systems to improve relevance and response quality.</li><li>Evaluate model performance using defined quality metrics, test cases, and user feedback loops.</li><li>Improve production performance across latency, cost, scalability, observability, and reliability.</li><li>Collaborate with product, engineering, and business teams to translate use cases into deployable AI features.</li><li>Stay updated with emerging GenAI tools, frameworks, and model capabilities, and recommend practical adoption where relevant.</li></ul>Must-Have Skills: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong hands-on programming experience in Python. Experience building GenAI applications using frameworks such as LangChain, LlamaIndex, or equivalent orchestration tools. Experience working with OpenAI APIs, Anthropic, Bedrock, Azure OpenAI, or similar LLM platforms. Strong understanding of prompt engineering, RAG architecture, and LLM application design. Experience integrating AI models with REST APIs, web applications, and backend services. Familiarity with vector databases such as FAISS, Pinecone, Weaviate, Chroma, or similar. Good understanding of machine learning and NLP fundamentals.Experience deploying production-ready applications on AWS, Azure, or GCP.Ability to evaluate and improve model quality, including hallucination reduction and retrieval performance.Understanding of security, access control, and safe handling of enterprise data in AI applications.Preferred Skills : Experience with Amazon Bedrock. Experience with multimodal AI applications involving text, images, PDFs, and document processing. Familiarity with fine-tuning, adapters, or domain adaptation techniques for LLMs.Experience with Docker, Kubernetes, CI/CD pipelines, and MLOps workflows.Exposure to observability and monitoring tools for AI systems.Experience building domain-specific assistants for operations, compliance, technical support, or enterprise knowledge systems.Experience Required:2&ndash;3 years of experience in software engineering, machine learning, or AI application development.At least 1&ndash;2 years of practical experience working on GenAI / LLM-based applications in production or advanced PoCs.Job Types: Full-time, PermanentAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your Visa Status?</li><li>What is your Current Salary?</li><li>What is your Expected Salary?</li><li>Visa Expiry Date?</li><li>Duration of Notice Period?</li><li>Mention your available dates for an online interview</li></ul>Experience:<ul><li>GenAI: 2 years (Required)</li></ul>Location:<ul><li>Abu Dhabi (Required)</li></ul>Work Location: In person

GenAI Engineer

Prepaire Laboratory 7 Limited

Job Title: Robotics EngineerCompany: Prepaire LabsLocation: Abu Dhabi, UAEAbout Us:Prepaire Labs is at the forefront of robotics innovation, developing and integrating advanced robotic systems across diverse platforms. Our work spans humanoid robots, mobile systems, and robotic arms, enabling intelligent automation in real-world environments.Role Overview:We are seeking a highly skilled Robotics Engineer to design, develop, and deploy robotic systems across multiple platforms, including humanoid robots such as the Agibot A2 Ultra and various robotic arms. The ideal candidate has strong experience with robotics software frameworks, particularly ROS2, and is comfortable working with modern AI-driven robotics approaches, including Vision-Language-Action (VLA) models.Key Responsibilities:<ul><li>Develop, test, and deploy robotic applications using ROS2.</li><li>Integrate and work with different robotics SDKs across various hardware platforms.</li><li>Design and implement control, perception, and planning systems for robots.</li><li>Collaborate on the deployment and optimization of humanoid robots (e.g., Agibot A2 Ultra) and robotic arms.</li><li>Work with Vision-Language-Action (VLA) models to enable intelligent robot behavior.</li><li>Interface with sensors, actuators, and embedded systems for real-time control.</li><li>Perform system integration, debugging, and performance tuning.</li><li>Contribute to simulation environments and testing pipelines.</li><li>Document system architecture, code, and workflows.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Robotics, Computer Science, Electrical Engineering, or related field.</li><li>Strong experience with ROS2 (Robot Operating System 2).</li><li>Hands-on experience with multiple robotics SDKs and hardware platforms.</li><li>Proficiency in Python and/or C++.</li><li>Experience with robotic arms, humanoid robots, or mobile robots.</li><li>Understanding of perception systems (computer vision, sensor fusion).</li><li>Familiarity with real-time systems and robotics middleware.</li></ul>Preferred Qualifications:<ul><li>Experience with Vision-Language-Action (VLA) models or embodied AI systems.</li><li>Experience working with humanoid robots such as Agibot A2 Ultra.</li><li>Knowledge of motion planning frameworks (MoveIt, Nav2, etc.).</li><li>Experience with simulation tools (Gazebo, Isaac Sim, etc.).</li><li>Background in machine learning for robotics applications.</li><li>Familiarity with hardware integration and low-level control systems.</li></ul>Key Skills:<ul><li>Robotics system integration</li><li>Software architecture for robotics</li><li>Problem-solving and debugging</li><li>Cross-platform development</li><li>Team collaboration and communication</li></ul>What We Offer:<ul><li>Opportunity to work with cutting-edge robotics technologies</li><li>Dynamic and innovative work environment</li><li>Competitive salary and benefits</li><li>Career growth in advanced robotics and AI</li></ul>How to Apply:Please submit your resume and portfolio (if applicable) detailing your robotics projects and experience.Job Type: Full-timeWork Location: In person

Robotics Engineer

Confidential

<div>
 
 
 Job Summary
 
 
 
 We are seeking a
 
 Senior / Lead Data Engineer
 
 to design, build, and scale
 
 AI-powered, cloud-native data platforms
 
 that support enterprise analytics, machine learning, and business-critical decision-making.
 
 
 The ideal candidate will bring deep expertise in
 
 data engineering, cloud data warehouses, cost optimization, and AI-assisted development
 
 , with a proven track record of delivering
 
 high-impact, revenue-generating data platforms
 
 and
 
 intelligent automation solutions
 
 at scale.
 
 
 
 Key Responsibilities
 
 
 
 
 Data Platform &amp; Pipeline Engineering
 
 
 <ul>
 <li>
 Design, develop, and maintain
 
 scalable ETL/ELT pipelines
 
 using Python, SQL, dbt, and modern orchestration tools.
 </li>
 <li>
 Build and optimize
 
 cloud-based data warehouses
 
 (BigQuery or equivalent) supporting high-volume analytical workloads.
 </li>
 <li>
 Implement
 
 robust data modeling
 
 (dimensional and analytical models) to enable self-service analytics and AI use cases.
 </li>
 <li>
 Ensure
 
 data quality, integrity, and freshness
 
 through automated validation frameworks and monitoring.
 </li>
 </ul>
 
 
 AI-Driven Automation &amp; Innovation
 
 
 <ul>
 <li>
 Design and deploy
 
 AI-powered internal tools and agents
 
 to automate data engineering workflows, incident diagnosis, and root cause analysis.
 </li>
 <li>
 Integrate AI agents with collaboration tools (e.g., Slack) to improve operational efficiency and reduce incident resolution time.
 </li>
 <li>
 Apply AI-assisted development techniques to accelerate delivery, improve code quality, and reduce manual effort across teams.
 </li>
 </ul>
 
 
 Performance &amp; Cost Optimization
 
 
 <ul>
 <li>
 Lead
 
 cloud cost optimization initiatives
 
 , including query optimization, architectural redesign, and usage monitoring.
 </li>
 <li>
 Drive measurable reductions in data platform operational costs while maintaining performance and reliability.
 </li>
 </ul>
 
 
 Cloud &amp; DevOps
 
 
 <ul>
 <li>
 Build and deploy data services using
 
 containerized and CI/CD-driven workflows
 
 .
 </li>
 <li>
 Collaborate with DevOps and platform teams to ensure scalable, secure, and reliable cloud infrastructure.
 </li>
 <li>
 Support multi-cloud or hybrid environments as required (GCP, Azure).
 </li>
 </ul>
 
 
 Leadership &amp; Collaboration
 
 
 <ul>
 <li>
 Provide
 
 technical leadership and mentorship
 
 to data engineers.
 </li>
 <li>
 Establish
 
 SOPs, best practices, and engineering standards
 
 across the data function.
 </li>
 <li>
 Partner closely with product, analytics, and business stakeholders to translate requirements into scalable data solutions.
 </li>
 </ul>
 
 
 Required Skills &amp; Qualifications
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 
 Programming:
 
 Python (expert), SQL (expert), Shell scripting (advanced).
 </li>
 <li>
 
 Data Engineering:
 
 dbt, ETL/ELT pipelines, data warehousing, data modeling, data quality frameworks.
 </li>
 <li>
 
 Cloud Platforms:
 
 Google Cloud Platform (BigQuery, Cloud Run) &ndash; strong experience; Azure familiarity is a plus.
 </li>
 <li>
 
 Orchestration &amp; Automation:
 
 Airflow or equivalent.
 </li>
 <li>
 
 DevOps &amp; Tooling:
 
 Git, Docker, CI/CD pipelines.
 </li>
 <li>
 
 AI &amp; ML Exposure:
 
 AI agent frameworks, ML pipelines, model lifecycle management, observability tools.
 </li>
 </ul>
 
 
 Data Management
 
 
 <ul>
 <li>
 Cost optimization and performance tuning.
 </li>
 <li>
 Data governance, cataloging, and best-practice documentation.
 </li>
 </ul>
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science or related field.
 </li>
 <li>
 Master&rsquo;s or Postgraduate qualification in Data Science is preferred.
 </li>
 </ul>
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience delivering
 
 AI/ML pipelines
 
 in production environments.
 </li>
 <li>
 Exposure to
 
 government, public sector, or regulated enterprise data platforms
 
 .
 </li>
 <li>
 Experience building
 
 observability and monitoring tools
 
 for data platforms.
 </li>
 <li>
 Prior work on
 
 Arabic-language or regional datasets
 
 .
 </li>
 </ul>
 
 
</div>

Data Engineer

Microsoft

<div>Overview 
With over 17,000 employees worldwide, the Microsoft Customer Experience &amp; Success (CE&amp;S) organization is responsible for the strategy, design, and implementation of Microsoft's end-to-end customer experience. Come join CE&amp;S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide differentiated and connected customer experience.
We are looking for a highly motivated and passionate Cloud Solution Architect (CSA) specialized in AI Security and Agentic AI to help enterprise customers securely design, deploy, govern, and operate AI and agent‑based workloads on Microsoft platforms. This is a customer‑facing technical role focused on securing AI systems, including Microsoft Agent 365, while driving measurable customer outcomes through architecture excellence, operational rigor, and deep usage of Microsoft Security solutions. 
Responsibilities 
<ul><li>
Act as a trusted technical advisor for customers adopting AI and agent‑based workloads</li><li>
Architect secure, scalable designs for Agent 365, Copilot, and AI‑powered workloads</li><li>
Guide customers on AI security governance, identity, access control, and observability</li><li>
Drive adoption and operational usage of Microsoft Security solutions (Defender, Sentinel, Entra, Purview)</li><li>
Remove technical blockers and de‑risk AI deployments</li><li>
Lead architecture workshops and design sessions with security and executive stakeholders</li><li>
Partner with sales, engineering, and partners to deliver customer success outcomes</li><li>
Capture feedback from the field to improve security and AI offerings</li></ul> 

Qualifications 
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in computer science, Information Technology, Engineering, Business, Cybersecurity, or related field 5+ years&rsquo; experience in cloud/infrastructure technologies, cybersecurity, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.</li><li>
Deep understanding of Microsoft security technologies with hands on experience in delivering two or more of the following Microsoft security solutions:<ul><li>
Microsoft Defender (Defender for Cloud, Defender XDR, Defender for Cloud Apps)</li><li>
Microsoft Sentinel</li><li>
Microsoft Entra (identity, Conditional Access, lifecycle governance)</li><li>
Microsoft Purview (data security, compliance, governance)</li></ul></li><li>
Demonstrated experience securing AI‑powered workloads, including:<ul><li>
Identity, access control, and least‑privilege enforcement</li><li>
Data protection and information governance</li><li>
Threat detection, posture management, and incident response for AI systems</li></ul></li><li>
Hands‑on understanding of agentic architectures, including:<ul><li>
AI agents, copilots, or autonomous systems</li><li>
Agent identity, lifecycle, and access management concepts</li><li>
Observability, logging, and behavioural monitoring for autonomous systems</li></ul></li></ul>
Preferred Qualifications<ul><li>
Experience with Microsoft Copilot Studio, Azure AI Foundry, or custom AI/agent frameworks secured on Azure or Microsoft 365 platforms</li><li>
Familiarity with AI security architecture patterns, including:<ul><li>
Secure model access and isolation</li><li>
Guardrails, policy enforcement, and content safety</li><li>
AI workload discovery and posture management</li></ul></li><li>
Knowledge of Zero Trust principles applied to AI and agent‑based systems, including identity‑centric security and continuous verification</li><li>
Experience integrating security into CI/CD or platform engineering workflows for AI or automation solutions</li><li>
Microsoft certifications such as:<ul><li>
SC‑100: Cybersecurity Architect</li><li>
SC-200: Security Operations Analyst Associate</li><li>
SC-300: Identity and Access Administrator Associate</li><li>
AI-900: Microsoft Azure AI Fundamentals</li><li>
AZ-500: Azure Security Engineer Associate</li></ul></li></ul> 
 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.</div>

Cloud Solution Architect - AI Security & Agentic AI

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