186 AI Engineer jobs in the United Arab Emirates

Seeking a visionary AI Engineer to develop innovative AI, blockchain, and gamification technologies for a revolutionary Web3 ecosystem with Entangle.

Description

Entangle is reshaping the blockchain landscape with advanced interoperability and data connectivity solutions. By creating a seamless framework for DApps to interact across various networks, we’re solving one of blockchain’s biggest challenges: the barriers between fragmented ecosystems. Our Photon Messaging Protocol, universal data feeds, and customizable agent network bring high-performance, scalable infrastructure to developers in the DeFi space and beyond.

We are on a mission to revolutionize the AI and Web3 space by building a groundbreaking suite of AI-powered products. We're seeking a visionary AI Engineer to join our dynamic team of 10+ AI specialists and drive the development of innovative technologies at the intersection of AI, blockchain, and gamification. This is a rare opportunity to help shape a transformative ecosystem that will redefine how communities engage with cutting-edge AI solutions in the Web3 era.

Key Responsibilities:

1. AI Development and Integration
   Design and implement an adaptive AI system that evolves dynamically through reinforcement learning and user interactions. Develop a sentiment analysis model to interpret and react to social media engagement (e.g., Twitter API). Ensure seamless integration of the AI system with blockchain data and token-driven mechanics.
2. Blockchain and Token Mechanisms
   Implement token-based actions (staking, feeding, training) that directly influence the AI pet’s behavior, appearance, and attributes. Develop cross-chain compatibility to support multiple tokens and wrapped token mechanics. Incorporate trending token metrics (e.g., sentiment, trading volume) into the AI's decision-making processes.
3. Community Engagement and Gamification
   Build interactive mechanisms to allow users to influence the AI through community actions (e.g., feeding tokens, staking). Implement competitive gamification elements such as leaderboards and "pack formations" to encourage user participation. Collaborate with the product team to design community-driven governance models for shaping the AI pets’ evolution and narrative.
4. Scalability and Performance
   Ensure the AI system is scalable and efficient to handle high volumes of user interactions. Optimize models for real-time response and seamless user experience.

Required Qualifications:
Proven experience in developing AI/ML systems, with a focus on reinforcement learning and sentiment analysis. Strong programming skills in Python, TensorFlow, or PyTorch. Experience with blockchain technologies, including smart contracts, tokenomics, and interoperability. Familiarity with Web3 ecosystems and APIs (e.g., Twitter API). Hands-on experience with gamification or user engagement systems is a plus.

Preferred Qualifications:
Knowledge of token-based mechanics and community-driven projects. Experience in building scalable AI systems integrated with real-time blockchain data. Passion for creating engaging, user-centric AI experiences.

What we offer:
Exciting growing international start-up with ambitious goals of making headways in a revolutionary, multi-billion dollar industry
Pay in USDT
Scrum/agile environment
Highly skilled engineering team
Attractive compensation plus token allocations
Remote work in a timezone that corresponds well with the UAE time
Paid vacation and public holidays.

Interested?

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Transguard Workforce Solutions is the UAE’s leading provider of unique and innovative HR solutions. With a decade of experience in the region and a team that possesses extensive knowledge of the market, we provide a fully integrated HR solution.

We are currently recruiting a AI Engineer for our client, based out of their office in Dubai, UAE.

Job Purpose:

We are looking for skilled and experienced AI Engineers with a strong background in machine learning and large language models (LLMs). This role involves working on cutting-edge AI solutions, with a focus on open-source LLMs, cloud deployment, and system integration.

Key Responsibilities:

• Implement and manage LLMs for image processing tasks, including handwriting recognition.
• Deploy and maintain LLMs on AWS Cloud (UAE Region) and on-premise servers.
• Integrate local APIs with both internal and external systems.
• Fine-tune and train LLMs to ensure high-quality, accurate outputs.
• Troubleshoot and resolve issues during model training and deployment.
• Design and implement high-speed network infrastructure for AI/LLM applications.
• Develop platforms for monitoring, analysis, and diagnostics of large-scale AI/LLM systems.
• Research and build high-performance AI communication frameworks and network protocols.
• Architect next-generation AI network infrastructure to support heterogeneous hardware environments.
• Design and develop AI models using OpenAI technologies.
• Integrate AI models into existing applications and systems.
• Create and manage local LLMs, including data storage in local databases.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong understanding of AI algorithms, data structures, and software engineering principles.
• Hands-on experience with Langchain, OpenAI, and other open-source AI frameworks. (Min 3 Years)
• Proven track record in developing and deploying large language models.
• Solid foundation in machine learning, deep learning architectures, and natural language processing (NLP).
• Proficiency in programming languages such as Python, .NET, TensorFlow, PyTorch, and Node.js.
• Experience in data preprocessing, cleaning, and augmentation for model training.
• Familiarity with model evaluation metrics and performance tuning.
• Experience deploying LLMs in production environments.
• Strong collaboration and communication skills to work effectively across teams.
• Proactive problem-solving mindset with a focus on innovation and quality.
• A portfolio showcasing previous LLM or AI projects is a strong plus.

• Seniority levelAssociate

• Employment typeContract

• Job functionInformation Technology
• IndustriesAirlines and Aviation

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Get notified about new Artificial Intelligence Engineer jobs in Dubai, United Arab Emirates.

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Join a prestigious government organisation at the forefront of technological advancement, dedicated to leveraging the power of Artificial Intelligence to optimise analytics and drive impactful decision-making.

• Design, develop, and optimise AI infrastructure for scalable machine learning model deployment.
• Implement MLOps methodologies to streamline the entire AI model lifecycle.
• Drive automation of AI workflows, enhancing efficiency in data pipelines and AI-driven insights.
• Architect and deploy cloud-based AI solutions, ensuring optimal scalability and efficiency.
• Develop APIs and microservices to seamlessly integrate AI models with enterprise applications.
• Optimise AI models for peak performance, minimising computational overhead and maximising inference speed.
• Implement MLOps best practices for smooth AI model deployment, monitoring, and governance.

• Bachelor's or Master's degree in AI, Computer Science, or a related field.
• 7 years of hands-on experience in AI/ML engineering, model deployment, and automation.
• Proven expertise in Kubernetes, Docker, CI/CD pipelines for AI, and cloud platforms (Azure, AWS, GCP).
• Strong proficiency in Python, TensorFlow, PyTorch, and advanced AI model optimisation techniques.

In this role, you will work across both our Internal AI Automation and Customer-Facing AI teams, designing and deploying advanced AI-driven features and internal tools. You ll be at the forefront of integrating Generative AI, LLM, and ML models into real products and workflows, using a modern AI tech stack that includes LangChain, LlamaIndex, CrewAI, Anthropic(Claude),OpenAI(GPT-4 and others),AWS Bedrock, and the Weaviate vector database. Your work will have a broad impact, from empowering our customers with intelligent product features to streamlining internal operations across various departments.

Some high-impact responsibilities you will be entrusted with:

• Design, develop, and evaluate AI/LLM pipelines for a variety of use cases from RAG-based knowledge assistants to multi-agent task automation. This includes choosing the right components (LLMs, vector stores, prompt chaining, etc.) and ensuring they work together seamlessly.
• Build robust evaluation and monitoring systems to track model and pipeline performance over time. You will define success metrics, implement automatic evaluations (for accuracy, relevance, latency, etc.), and use feedback to drive continuous improvements in our AI systems.
• Collaborate with cross-functional domain experts(HR, insurance, sales, marketing, and others) to identify opportunities for AI automation and to gather requirements.
• Develop and deploy autonomous AI agents that can safely perform actions on our platform. You will define agents roles, goals, and tool access, using frameworks like LangChain/CrewAI to coordinate complex sequences of actions. Ensuring these agents are reliable and behave as intended will be a key part of your role (including rigorous testing in sandbox environments).
• Optimize and integrate foundation models via APIs and AWS Bedrock. You ll leverage large-scale models from OpenAI, Anthropic, and other providers (through AWS Bedrock s managed API or direct calls) and fine-tune or prompt-engineer them for our needs. A big part of this is staying up-to-date on the latest models and figuring out which is best for a given task (accuracy vs. speed, etc.).
• Implement and maintain vector database integrations(Weaviate) for semantic search and retrieval. You ll be responsible for how we index and query our unstructured data (documents, knowledge articles, etc.) so that our LLMs can fetch relevant context with minimal latency. This includes crafting embeddings, setting up hybrid search (vector + keyword), and ensuring data privacy in the vector store.
• Mentor and upskill team members in AI best practices. You ll be a go-to expert for all things LLM. Many of our engineers have strong software backgrounds but are newer to AI/ML you ll provide guidance through code reviews, knowledge-sharing sessions, and pairing, to raise the AI proficiency across the team.
• Experiment, Innovate, and Lead: Evaluate new tools, frameworks, and techniques in the fast-moving LLM ecosystem. Whether it s a new prompt optimization approach, a better way to fine-tune a model, or an emerging open-source framework, you ll have the freedom to run proof-of-concepts and bring in innovations that keep Bayzat at the cutting edge. You will also help guide strategic decisions on our AI roadmap, ensuring we invest in the highest-impact projects.

• Hands-on LLM Experience: Proven experience building applications powered by large language models (GPT-3.5/4, Claude, etc.). You should be comfortable with prompt engineering, model tuning (via APIs or open-source models), and integrating LLMs into end-to-end systems.
• Proficiency with Modern AI Frameworks: Strong working knowledge of frameworks and libraries for building AI pipelines, such as LangChain, LlamaIndex, or similar. Bonus if you have experience with agent orchestration frameworks like CrewAI for multi-agent systems.
• Vector Databases & Retrieval Know-how: Familiarity with vector search concepts and experience using a vector datastore (Weaviate, Pinecone, etc.) in an application. You understand how to create embeddings and use similarity search to implement RAG ( retrieval-augmented generation)
• Programming and Software Engineering Skills: Fluent in Python (our primary language for AI work) and adept at writing clean, production-quality code. Experience building APIs or microservices (we often wrap AI features behind APIs) is a plus. Solid understanding of software engineering best practices (code reviews, testing, CI/CD).
• Cloud and APIs: Experience deploying or scaling AI solutions on cloud platforms. Familiarity with AWS is a plus (we use services like AWS Bedrock and SageMaker for managed model hosting ). Ability to work with RESTful APIs and build tools around them (for connecting AI agents to external services).
• Analytical Mindset: Ability to design experiments and analyze results critically. You should be comfortable validating the effectiveness of an AI solution, whether through quantitative metrics or qualitative feedback, and debugging where things go wrong (e.g., why an agent took a bad step, or why a model gave a poor answer).
• Collaboration & Communication: Excellent communication skills with both technical and non-technical stakeholders. You will be discussing ideas with software engineers one moment and explaining AI capabilities to a sales manager the next. The ability to translate between AI jargon and layperson terms is important.

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Make your mark for the innovative Artificial Intelligence (AI) program at Boskalis and contribute at the forefront of strategically integrating AI into our operations to drive efficiency. Our AI Strategy is designed to tackle business challenges within strategically defined themes on our assets dredging and offshore vessels and our primary process our tenders and projects.
To achieve this ambition we have positioned a new AI department of 21 people at a corporate level. The department is working on our AI portfolio created by our senior business leaders and validated by our Board of Management. You will collaborate with cross-functional teams to develop and implement (Gen)AI solutions that fulfil business needs.
This position will require a blend of technical expertise and a desire to understand our business needs. An enthusiastic motivation drive and willingness to continuously keep learning. We are looking for someone with proven experience in LLM integration and who remains curious about new developments.

Your responsibilities as an AI Engineer:

Focused on developing building deploying and implementing AI models (e.g. LLM and machine learning techniques) and solutions for various projects. Works closely together with the business data and domain expert and the Business Data engineer.

• Develop build and deploy. AI solutions using Large Language Models (LLMs) including integration with vector databases Retrieval-Augmented Generation (RAG) pipelines and prompt engineering.
• Apply frameworks for building scalable and modular AI solutions.
• Take ownership of the quality and reliability of AI solutions.
• Collaborate with diverse stakeholders (including vessel-related) to understand business requirements translate them into technical AI solutions and ensure effective communication to maintain alignment and progress.
• Continuously learn and adapt to new technologies and methodologies in the (Gen)AI field.

Your qualities and experience
You can move ahead as an AI engineer (5 years) if you have:

• Hands-on experience and/ or certifications using Databricks and/or Azure AI foundry for LLM utilization data processing exploration and AI development.
• Strong skills in Python in the context of building and integrating LLM-based applications including the use of vector databases (such as FAISS Pinecone or Azure Cognitive Search).
• Familiarity with frameworks like LangChain/LangGraph Semantic Kernel Pydantic and Model Context Protocol (MCP).
• Experience in setting up RAG pipelines to combine contextual business data with generative AI. Experience with Agile methodologies particularly Scrum.
• A good command of written and spoken English.

The following competences are also important for the AI engineer:

• Strong communication and collaboration skills and the ability to independently interact with end-users.
• Empathy for the business context: understanding the end-users use case and actively thinking about how AI can deliver value in the short term.
• Ability to work independently on your own use case and translate technical possibilities into concrete solutions for business.
• A mindset geared towards continuous learning and curiosity for tackling new challenges.
• Ability to handle feedback and reset your course if needed.

If you are excited about the opportunity to work on innovative AI projects and have the drive to make a significant impact we would like to hear from you. Explain to us why your background and expertise make you the ideal candidate for our AI program and join us in shaping the future of Boskalis. Apply now and help us shape the future of our industry.

Qualifications :

What you can expect

• Career opportunities: We challenge you every day to get better. Together we realize your full personal and professional career by creating development opportunities.
• Warm welcome: We warmly welcome our new colleagues so they feel at home as soon as possible. During your online onboarding program we give you all the ins and outs of Boskalis!
• Career development: Plenty of opportunities to realize your full potential. Challenge yourself with (online) courses in our Boskalis academy.

Extra information

• Your team:Join the Corporate AI department a young and diverse group of 21 AI engineers AI delivery leads AI data engineers and change coordinators.
• Where you will work:You will work from our beautiful office in Abu Dhabi.
• Full/part-time job:The position of AI Engineer is full time.
• Next steps:Apply easily by completing the online application form. Interviews are held online or in the office. Once its clear were a good match well make you an offer and look forward to welcoming you to the company.

Additional Information :

Want to know more

We are more than happy to answer your questions about the position of AI Engineer. Please contact Arshad Asharaf corporate Recruiter via our career page.
InterestedPlease apply by filling in your details and by uploading your cover letter and CV.

Disclaimer for Recruiters and Recruitment Agencies

We appreciate your interest in our vacancies and understand that your candidate might be enthusiastic about this exciting opportunity. However our recruitment process is not structured this way at Boskalis we handle recruitment ourselves. Therefore we do not accept unsolicited applications or CVs from recruitment agencies. Any submission will be treated as a direct application.

LI-AASH

Remote Work :

No

Employment Type :

Full-time

About Us:
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors. We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you!

Job Summary:
As an AI Engineer, you will play a pivotal role in designing, developing, and deploying AI models in various AI fields. You will work collaboratively with cross-functional teams to create AI solutions that have a real-world impact. If you are passionate about AI and eager to work on cutting-edge projects, we want to hear from you.

Requirements & Qualifications:
*Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field. Ph.D. is a plus.
*Proven experience in developing and deploying AI models, with a strong portfolio showcasing your work.
*Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar.
*Deep understanding of machine learning algorithms, deep learning frameworks, and AI technologies.
*Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
*Excellent communication skills to convey complex technical concepts to both technical and non-technical stakeholders.
*Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).
*Knowledge of DevOps practices for AI model deployment and maintenance.
*Familiarity with big data technologies and distributed computing.
*Published research or contributions to the AI community.

Responsibilities:
*AI Model Development: Design and develop state-of-the-art AI models across multiple domains, including natural language processing, computer vision, recommendation systems, and more.
*Data Preprocessing: Clean, preprocess, and analyze data to prepare it for model training and evaluation.
*Model Training: Train and fine-tune AI models using cutting-edge techniques and libraries, ensuring high performance and accuracy.
*Validation and Testing: Conduct rigorous testing and validation of AI models to ensure robustness, reliability, and generalization.
*Optimization: Optimize models for performance, speed, and scalability, taking into account resource constraints.
*Collaboration: Collaborate closely with cross-functional teams, including data scientists, software engineers, and domain experts, to integrate AI solutions into products and services.
*Research and Innovation: Stay up-to-date with the latest advancements in AI research and apply them to solve real-world problems effectively.
*Documentation: Create clear and concise documentation for AI models, algorithms, and processes to facilitate knowledge sharing and future development.

Why Join Us?
•Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
•Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
•Competitive compensation & benefits, ESOPs and international assignments.
•Supportive environment with healthy work-life balance and a focus on employee well-being.
•Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.

How to Apply:
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.

Entangle is reshaping the blockchain landscape with advanced interoperability and data connectivity solutions. By creating a seamless framework for DApps to interact across various networks, we’re solving one of blockchain’s biggest challenges: the barriers between fragmented ecosystems. Our Photon Messaging Protocol, universal data feeds, and customizable agent network bring high-performance, scalable infrastructure to developers in the DeFi space and beyond.

We are seeking a motivated and talented Junior ML/AI Engineer to join our dynamic team of 10+. The ideal candidate will have a strong foundation in Python programming, experience with machine learning frameworks, and a passion for artificial intelligence. This role offers an excellent opportunity for professional growth and the chance to work on innovative projects that leverage cutting-edge technologies.

Key Responsibilities

Develop and Maintain AI Models: Collaborate with senior engineers to design, implement, and optimize machine learning models using PyTorch and TensorFlow.

Data Processing: Utilize ETL processes to gather, clean, and preprocess data using tools like Pandas and NumPy to ensure high-quality input for machine learning algorithms.

Reinforcement Learning: Engage in projects involving reinforcement learning (RL) techniques, contributing to the development of intelligent systems.

Testing and Validation: Conduct experiments to validate model performance and improve accuracy through iterative testing.

Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to integrate AI solutions into applications.

Documentation: Maintain thorough documentation of code, processes, and project developments to ensure clarity and facilitate knowledge sharing.

Core Skills

Programming Languages: Proficient in Python 3.x, with a solid understanding of object-oriented programming principles.

Data Manipulation: Experience with ETL processes and libraries such as Pandas and NumPy for data analysis and manipulation.

Machine Learning Frameworks: Familiarity with PyTorch, TensorFlow, Gym, or similar frameworks for developing AI models.

Reinforcement Learning: Understanding of reinforcement learning concepts and their application in real-world scenarios.

Prompting Common AI Tools: Experience in using common AI tools effectively by crafting detailed prompts that lead to high-quality outputs. Familiarity with techniques such as sequential prompting, role-playing personas, and iterative refinement of prompts.

Experience with AI tools' APIssuch as ChatGPT/claude api.

Nice-to-Have Skills

Blockchain Knowledge: Familiarity with blockchain technology as a crypto user; understanding of its applications in AI is a plus.

Natural Language Processing (NLP): Experience with NLP techniques, large language models (LLMs), and libraries such as Hugging Face Transformers.

Qualifications

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field

Strong analytical skills with a problem-solving mindset.

Ability to work independently as well as collaboratively within a team environment.

Excellent communication skills to convey technical concepts effectively.

What we offer:

Exciting growing international start-up with ambitious goals of making headways in a revolutionary, multi-billion dollar industry

Pay in USDT

Scrum/agile environment

Highly skilled engineering team

Attractive compensation plus token allocations

Remote work in a timezone that corresponds well with the UAE time

Paid vacation and public holidays.

We are looking for an Applied AI Engineer, with a background in building and maintaining production ML systems, to join our team. You will have a unique opportunity to work on cutting-edge AI projects, collaborate with experienced AI/ML engineers, and make a real impact on the world.

Zendy.io , a product of Knowledge E, is a massive online library created to provide individuals with affordable access to a wealth of information in the form of journals, e-books, magazines and other content mediums. 

The ideal candidate will have a deep understanding of machine learning and natural language processing, as well as experience with developing and maintaining production-grade AI systems. Reporting directly to our Chief Technology Officer, some of your responsibilities will include:

• Building and maintaining robust production ML systems. Ensuring systems are reliable, scalable, and capable of handling real-time data processing and inference.
• Utilising AWS SageMaker for model deployment, and monitoring while leveraging AWS services to create scalable and cost-effective ML solutions.
• Applying solid software engineering principles in the development and maintenance of ML systems and writing clean, maintainable, and efficient code.
• Developing and deploying models using ML frameworks such as Huggingface, PyTorch, TensorFlow, and scikit-learn, ensuring models are well-integrated into the production environment
• Working closely with data scientists, software engineers, and other stakeholders to implement and optimise ML models

You are:

An experienced professional with a continuous learning mindset and the ability to stay up to date with the latest advancements in AI, machine learning, and software engineering technologies. You have a proven track record of deploying and optimising machine learning models in production environments.

Minimum Job Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field. A master’s degree or equivalent experience is preferred
• A minimum of 3-5 years of professional experience in applied AI engineering, machine learning, or a related field
• Strong background in building and maintaining production ML systems.
• Proficiency in Python and familiarity with ML frameworks: Huggingface, PyTorch, TensorFlow, and scikit-learn
• Solid understanding of AWS SageMaker and other AWS services related to machine learning
• Strong foundation in software engineering, including experience with coding, testing, and version control
• Experience in optimising latency and throughput of machine learning systems and GPU workloads
• Excellent problem-solving skills and attention to detail
• Ability to work in a collaborative, fast-paced environment
• Strong written and verbal communication skills

Desired Extras

• Knowledge of retrieval-augmented generation (RAG) techniques
• Rust programming knowledge

How to apply:
To submit your application, please email a copy of your CV and a cover letter, detailing why you are interested in the position to 

About Zendy

Zendy has been created with an aim of radically facilitating access to academic literature. It addresses the key challenges that we as researchers, academics, students and other professionals face through traditional ways of accessing academic and peer-reviewed content.

Zendy is developed by Knowledge E in a growing collaboration with academic researchers, students, institutions and publishers. Join us on the journey, and reach out to us if you share the same vision and would like to contribute in any way.

To learn a bit more about Zendy and why we exist make sure to check out zendy.io/about