160 AI Architect jobs in the United Arab Emirates
Lead AI Architect
Posted 2 days ago
Job Viewed
Job Description
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
We seek a visionary AI Architect to pioneer next-generation AI solutions integrating **Generative AI** , **Agentic AI architectures** , and **collaborative Agentic Mesh ecosystems** . This role demands expertise in designing self-organizing AI systems that blend large language models (LLMs), small language models (SLMs), and multi-agent frameworks to drive disruptive technological transformation. Candidates must demonstrate mastery in translating theoretical AI advancements into scalable, ethical systems with measurable real-world impact
**Key Responsibilities**
**1. Advanced Architecture Design**
+ Design **Generative AI systems** leveraging GANs, VAEs, and transformer-based models for content synthesis, simulation, and data augmentation
+ Architect **Agentic AI frameworks** using LangChain, Hugging Face, GCP Agentspace, Azure AI Foundry, AWS Bedrock, and vector databases to enable autonomous problem-solving and adaptive learning
+ Implement **Agentic Mesh ecosystems** where AI agents collaborate dynamically, combining language, behavioral, and domain-specific capabilities
**2. Model Optimization & Innovation**
+ Develop novel techniques for LLM/SLM fine-tuning, including retrieval-augmented generation (RAG) and context-aware prompt engineering
+ Optimize inference performance for real-time applications using MLOps pipelines and cloud-native deployment using native PaaS
+ Lead R&D initiatives in neurosymbolic AI, mechanistic interpretability, and ethical guardrails for autonomous systems
**3. Strategic team player**
+ Work with high performance teams in deploying AI systems that redefine industry standards (e.g., healthcare diagnostics, financial forecasting, supply chain resilience).
+ Collaborate on publishing whitepapers and patents on emergent AI architectures, emphasizing sustainability and bias mitigation
**Who You Are**
**Required Qualifications (Must have)**
**Education**
+ PhD in Machine Learning, Computational Neuroscience, or AI Ethics (or niche MSc with 8+ years in complex AI systems)
**Technical Expertise**
+ 7+ years building production-grade AI systems using:
+ **Generative AI** : PyTorch Lightning, Hugging Face Transformers, Stable Diffusion, Open AI, Grok etc
+ **Agentic AI** : Hugging Face, Nvidia Toolkits, Hyperscaler AI agent services, LangChain, vector databases, MCP, A2A protocols etc
+ **LLM/SLM Optimization** : LoRA, QLoRA, and RLHF techniques
+ Proven ability to design multi-agent systems with emergent collaboration capabilities
**Cognitive & Professional Traits**
+ Lateral thinker with patents/publications in **ICML, NeurIPS, or AAAI** demonstrating unconventional problem-solving
+ Portfolio of projects showcasing **10x efficiency gains** through AI-driven process reinvention
+ Fluency in ethical AI frameworks (EU AI Act, OECD AI Principles)
**Preferred Qualifications (Good To Have)**
+ Contributions to open-source AI projects (e.g., LangChain, AutoGPT, Hugging Face)
+ Experience with neuromorphic computing or quantum machine learning integration.
+ Advisory roles in AI policy committees or standardization bodies.
**What We Offer**
+ Lead groundbreaking projects at the intersection of **Generative AI** and **Agentic Autonomy** .
+ Large base of diverse customers and real world usecases to solve
**Apply with:**
+ Technical whitepaper demonstrating original thinking in AI architecture
+ GitHub repository showcasing complex system designs
+ Doctoral thesis abstract (if applicable)
_Shape the future of autonomous intelligence systems. Challenge accepted?_
#AgenticAI
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Chief AI Architect
Posted today
Job Viewed
Job Description
We are seeking a skilled Machine Learning Engineer to design, build, and deploy production-grade machine learning solutions.
- Job Responsibilities:
- Develop and implement machine learning models using TensorFlow, PyTorch, or scikit-learn.
- Engineer and select features to maximize model performance.
- Prototype and implement ML algorithms.
- Perform hyperparameter tuning, cross-validation, and model selection.
- Define evaluation metrics and conduct A/B tests.
- Build CI/CD pipelines for data, code, and model artifacts.
- Monitor model performance, data drift, and system health.
- Document model designs, data schemas, APIs, and runbooks.
Requirements:
- 3–5+ years delivering ML into production.
- Hands-on with Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- MLOps tools: MLflow, Kubeflow; cloud deployment (AWS, Azure, GCP).
- Domain experience in computer vision, NLP, or forecasting.
- Agile/Scrum collaboration; strong analytic and communication skills.
Qualifications:
- Bachelor's/Master's in CS, Data Science, Statistics, or related.
- Google Professional ML Engineer.
- Proficiency in SQL, Git, Docker, and Kubernetes.
Benefits:
Equal opportunities in employment. We treat all applicants equally regardless of age, disability, marital status, pregnancy or maternity, race, color, nationality, ethnic or national origin, religion, or belief.
Chief AI Architect
Posted today
Job Viewed
Job Description
We are seeking a highly skilled AI and Machine Learning Engineer to join our team. The ideal candidate will have expertise in developing and implementing state-of-the-art artificial intelligence and machine learning algorithms to enhance product offerings and optimize business functions.
- The successful candidate will work collaboratively with data scientists, software engineers, and product teams to translate complex data into actionable insights and effective machine learning models.
- Experience with machine learning frameworks and libraries such as TensorFlow, Keras, and PyTorch is essential for this role.
- A strong understanding of computer vision techniques and natural language processing is also desirable.
The successful candidate will be responsible for driving data-driven decision-making within the organization, leveraging the latest advancements in AI and ML technologies to develop innovative solutions.
Required Skills and Qualifications
To be successful in this role, you will need:
- Proven experience as an AI and Machine Learning Engineer or in a related field, with at least 3 years of experience.
- Strong programming skills in languages such as Python, Java, or R.
- Hands-on experience with big data technologies and cloud-based platforms.
- Excellent problem-solving skills, attention to detail, and a collaborative attitude.
Benefits
As an AI and Machine Learning Engineer, you will enjoy a range of benefits including:
- Paid time off.
- Performance bonus.
- Training and development opportunities.
Job Function and Industry
This role is part of our information technology team and falls under the IT services and consulting industry.
Chief AI Architect
Posted today
Job Viewed
Job Description
This role focuses on designing, developing, and evaluating AI models for various applications.
- Develop evaluation frameworks to assess models during pre-training, post-training, and inference, tracking key performance indicators such as accuracy, latency, and memory usage.
Key Responsibilities:
- Evaluation framework development
- Dataset curation and benchmarking
- Cross-functional collaboration
- Performance analysis and optimization
- Evaluation methodology refinement
Requirements:
- Bachelor's or Master's degree in Computer Science or related field; PhD in NLP, Machine Learning, or similar preferred.
- Experience designing and evaluating AI models at various stages, proficient in evaluation frameworks assessing accuracy, convergence, and robustness.
- Strong programming skills and experience building scalable evaluation pipelines, familiar with performance metrics like latency, throughput, and memory footprint.
- Ability to conduct iterative experiments, staying current with new techniques to improve benchmarking practices.
- Experience working with cross-functional teams, translating technical insights into actionable recommendations.
Skills and Qualifications:
- Proficiency in machine learning algorithms and data structures
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Familiarity with containerization tools like Docker
- Understanding of cloud-based technologies such as AWS or Google Cloud
Chief AI Architect
Posted today
Job Viewed
Job Description
The role of a Head of Artificial Intelligence is a pivotal position within an organization. This senior-level executive oversees the strategic direction, development, and deployment of AI systems that drive business growth.
Responsibilities- AI Strategy and Leadership: Define and execute the AI strategy aligned with the organization's product and business goals.
- Product and Technology Development: Lead the design and development of core AI tools, including investor-asset matchmaking engines, demand-signal discovery and prediction models, AI-powered agents for discovery, analysis, and outbound engagement, data pipelines, model training, and deployment frameworks at scale.
- Data and Research: Build proprietary datasets from public, partner, and private sources, leverage LLMs, recommendation systems, and predictive analytics to create a defensible data advantage, and partner with academic and industry institutions to advance knowledge in the field.
- A minimum of 10 years of experience in AI/ML with at least 5 years in leadership roles.
- Expertise in LLMs, recommendation systems, predictive analytics, and multi-agent systems.
- Proven ability to take AI products from concept to production to scale.
- Technical depth in Python, PyTorch/TensorFlow, MLops frameworks, experience building real-world recommendation engines and agentic AI systems, and data architecture and pipeline expertise.
- Strong team-building and mentorship skills.
- Background in fintech, real estate, or marketplaces is a plus.
- Build the AI core of a company scaling fast across global markets.
- Work with founders from top-tier organizations.
- Shape the future of AI in various industries.
- Competitive compensation with meaningful equity.
Lead AI Architect
Posted today
Job Viewed
Job Description
Who We Are
At Kyndryl, we design, build, manage, and modernize mission-critical technology systems worldwide. We are committed to building a more equitable, inclusive world for our employees, customers, and communities.
The Role
We are seeking a visionary AI Architect to develop next-generation AI solutions, including Generative AI, Agentic AI architectures, and collaborative Agentic Mesh ecosystems. This role requires expertise in designing self-organizing AI systems that integrate large language models (LLMs), small language models (SLMs), and multi-agent frameworks to enable transformative technological advancements. Candidates should demonstrate the ability to translate AI research into scalable, ethical systems with tangible real-world impacts.
Key Responsibilities
- Advanced Architecture Design
- Design Generative AI systems using GANs, VAEs, and transformer-based models for content creation, simulation, and data augmentation.
- Develop Agentic AI frameworks utilizing tools like LangChain, Hugging Face, GCP Agentspace, Azure AI Foundry, AWS Bedrock, and vector databases to facilitate autonomous problem-solving and adaptive learning.
- Implement Agentic Mesh ecosystems where AI agents collaborate dynamically, combining various capabilities.
- Create novel techniques for fine-tuning LLMs and SLMs, including retrieval-augmented generation (RAG) and context-aware prompt engineering.
- Enhance inference performance for real-time applications through MLOps pipelines and cloud-native deployment.
- Lead R&D efforts in neurosymbolic AI, interpretability, and ethical safeguards for autonomous systems.
- Work with high-performance teams to deploy AI systems that set industry standards in fields like healthcare, finance, and supply chain.
- Contribute to whitepapers and patents on emerging AI architectures, emphasizing sustainability and bias mitigation.
Who You Are
Required Qualifications
- PhD in Machine Learning, Computational Neuroscience, AI Ethics, or equivalent experience with 8+ years in complex AI systems.
- Over 7 years of experience building production-grade AI systems using tools and frameworks such as PyTorch Lightning, Hugging Face Transformers, and others listed.
- Proven ability to design multi-agent systems with emergent collaboration capabilities.
Cognitive & Professional Traits
- Innovative thinker with patents or publications in top AI conferences (ICML, NeurIPS, AAAI).
- Track record of projects delivering significant efficiency improvements through AI.
- Knowledge of ethical AI frameworks like EU AI Act and OECD AI Principles.
Preferred Qualifications
- Contributions to open-source AI projects such as LangChain, AutoGPT, Hugging Face.
- Experience with neuromorphic computing or quantum machine learning.
- Roles in AI policy or standardization bodies.
What We Offer
- Opportunity to lead innovative projects at the forefront of Generative AI and Agentic Autonomy.
- Access to diverse real-world use cases and clients.
Application Process
- Submit a technical whitepaper demonstrating original AI architecture ideas.
- Provide a GitHub repository showcasing complex system designs.
- Include a doctoral thesis abstract if applicable.
Being You
We celebrate diversity in all forms—culture, background, experience—and strive to create an inclusive environment through our Kyndryl Inclusion Networks and other initiatives, enabling everyone to bring their whole self to work.
What You Can Expect
Work with cutting-edge resources and Fortune 100 clients daily. We prioritize your well-being with comprehensive benefits, learning opportunities, and community engagement programs. We are committed to your success and growth.
#J-18808-LjbffrLead AI Architect
Posted today
Job Viewed
Job Description
Kyndryl Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
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Kyndryl Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Join to apply for the Lead AI Architect role at Kyndryl
Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
The Role
We seek a visionary AI Architect to pioneer next-generation AI solutions integratingGenerative AI,Agentic AI architectures, andcollaborative Agentic Mesh ecosystems. This role demands expertise in designing self-organizing AI systems that blend large language models (LLMs), small language models (SLMs), and multi-agent frameworks to drive disruptive technological transformation. Candidates must demonstrate mastery in translating theoretical AI advancements into scalable, ethical systems with measurable real-world impact
Key Responsibilities
- Advanced Architecture Design
- DesignGenerative AI systemsleveraging GANs, VAEs, and transformer-based models for content synthesis, simulation, and data augmentation
- ArchitectAgentic AI frameworksusing LangChain, Hugging Face, GCP Agentspace, Azure AI Foundry, AWS Bedrock, and vector databases to enable autonomous problem-solving and adaptive learning
- ImplementAgentic Mesh ecosystemswhere AI agents collaborate dynamically, combining language, behavioral, and domain-specific capabilities
- Model Optimization & Innovation
- Develop novel techniques for LLM/SLM fine-tuning, including retrieval-augmented generation (RAG) and context-aware prompt engineering
- Optimize inference performance for real-time applications using MLOps pipelines and cloud-native deployment using native PaaS
- Lead R&D initiatives in neurosymbolic AI, mechanistic interpretability, and ethical guardrails for autonomous systems
- Strategic team player
- Work with high performance teams in deploying AI systems that redefine industry standards (e.g., healthcare diagnostics, financial forecasting, supply chain resilience).
- Collaborate on publishing whitepapers and patents on emergent AI architectures, emphasizing sustainability and bias mitigation
Required Qualifications (Must have)
Education
- PhD in Machine Learning, Computational Neuroscience, or AI Ethics (or niche MSc with 8+ years in complex AI systems)
- 7+ years building production-grade AI systems using:
- Generative AI: PyTorch Lightning, Hugging Face Transformers, Stable Diffusion, Open AI, Grok etc
- Agentic AI: Hugging Face, Nvidia Toolkits, Hyperscaler AI agent services, LangChain, vector databases, MCP, A2A protocols etc
- LLM/SLM Optimization: LoRA, QLoRA, and RLHF techniques
- Proven ability to design multi-agent systems with emergent collaboration capabilities
- Lateral thinker with patents/publications inICML, NeurIPS, or AAAIdemonstrating unconventional problem-solving
- Portfolio of projects showcasing10x efficiency gainsthrough AI-driven process reinvention
- Fluency in ethical AI frameworks (EU AI Act, OECD AI Principles)
- Contributions to open-source AI projects (e.g., LangChain, AutoGPT, Hugging Face)
- Experience with neuromorphic computing or quantum machine learning integration.
- Advisory roles in AI policy committees or standardization bodies.
- Lead groundbreaking projects at the intersection ofGenerative AIandAgentic Autonomy.
- Large base of diverse customers and real world usecases to solve
- Technical whitepaper demonstrating original thinking in AI architecture
- GitHub repository showcasing complex system designs
- Doctoral thesis abstract (if applicable)
Being You
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
What You Can Expect
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
Get Referred
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
- Industries IT Services and IT Consulting
Referrals increase your chances of interviewing at Kyndryl by 2x
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Chief AI Architect
Posted today
Job Viewed
Job Description
We are seeking a seasoned Applied AI Engineer to spearhead the development and maintenance of cutting-edge AI projects. This individual will collaborate with experienced professionals to drive innovation and deliver high-quality results.
Our ideal candidate possesses a strong background in building and maintaining production ML systems, ensuring they are robust, scalable, and capable of handling real-time data processing and inference.
- Develop and deploy models using ML frameworks such as Huggingface, PyTorch, TensorFlow, and scikit-learn, integrating them seamlessly into the production environment.
- Utilize AWS SageMaker for model deployment and monitoring, leveraging AWS services to create scalable and cost-effective ML solutions.
The successful applicant will have a deep understanding of machine learning and natural language processing, coupled with experience in developing and maintaining production-grade AI systems.
Required Skills and 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.
- 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.
The selected candidate will have the opportunity to work on a wide range of AI projects, collaborating closely with data scientists, software engineers, and other stakeholders to implement and optimize ML models.
They will also be part of a dynamic team that encourages continuous learning and growth, with access to various resources and training opportunities.
OthersThe ideal candidate will possess excellent problem-solving skills, attention to detail, and strong written and verbal communication skills.
They should be able to work in a collaborative, fast-paced environment and thrive in a culture of innovation and experimentation.
AI Solutions Architect
Posted today
Job Viewed
Job Description
We are seeking a talented and experienced AI Solutions Architect to join our team. As an AI Solutions Architect, you will play a key role in growing our business and working closely with customers to understand their needs.
The ideal candidate will have 5+ years of customer-facing technical pre/post sales experience and 2+ years of architecting or deploying NLP/AI/LLM solutions. They will be passionate about Generative AI and have a deep understanding of its strengths and weaknesses.
The successful candidate will be comfortable working with Python and Jupyter Notebooks and have excellent communication skills. They will be able to toggle seamlessly between presenting to CEOs and getting in the weeds or white boarding with technical audiences.
As an AI Solutions Architect, you will work closely with our Product and Engineering teams to ensure our offering matches the customers' needs. You will also collaborate with our partners to develop a strategy for enabling and accelerating their customers.
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities.
About the Role- Develop a deep understanding of customer problems and map them to our solutions
- Work closely with our partners to develop a strategy for enabling and accelerating their customers
- Collaborate with our Product and Engineering teams to ensure our offering matches the customers' needs
- 5+ years of customer-facing technical pre/post sales experience
- 2+ years of architecting or deploying NLP/AI/LLM solutions
- Passion for Generative AI and deep understanding of its strengths and weaknesses
- Comfortable working with Python and Jupyter Notebooks
- Excellent communication skills
- An open and inclusive culture and work environment
- Opportunity to work on cutting-edge AI research
- Flexible remote work options
- Generous parental leave policy
AI Solution Architect
Posted today
Job Viewed
Job 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.
Position Overview:
We are seeking an experienced AI Solution Architect with a strong background in Web3 projects to join our team. The ideal candidate will be responsible for designing and implementing scalable AI solutions that leverage blockchain technologies, ensuring alignment with business objectives and compliance with ethical standards. This role requires a blend of technical expertise, strategic thinking, and hands-on leadership.
Key Responsibilities:
- Architectural Design: Develop and oversee the architecture of AI systems that integrate with blockchain technologies, ensuring they are scalable, secure, and efficient.
- Implementation Leadership: Lead cross-functional teams in the design and deployment of AI solutions within Web3 environments, from conception through to production release.
- Technical Documentation: Create comprehensive documentation detailing the architecture, components, and methodologies used in AI solutions.
- Collaboration: Work closely with software developers, product managers, and other stakeholders to ensure AI initiatives meet organizational needs and objectives.
- Compliance Oversight: Ensure all AI implementations adhere to ethical guidelines and industry regulations, particularly in relation to data privacy and algorithmic bias.
- Continuous Learning: Stay updated on advancements in AI, machine learning, blockchain technologies, and Web3 trends to drive innovation within the organization.
Required Qualifications:
- Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- Experience: Minimum of 3 years in AI architecture roles, with significant experience in Web3 projects and blockchain technologies (e.g., Ethereum, smart contracts).
- Technical Skills:
- Proficiency in programming languages such as Python, R, or Java.
- Experience with AI frameworks (e.g., TensorFlow, PyTorch) and tools for machine learning model development.
- Familiarity with microservices architecture and cloud infrastructure design.
- Knowledge of identity management protocols and serverless functions.
- Soft Skills: Excellent communication skills for stakeholder engagement; strong leadership capabilities to mentor junior team members.
Preferred Qualifications:
- Experience with decentralized applications (dApps) and cross-platform mobile app development.
- Familiarity with Agile methodologies and DevOps practices.
- Understanding of enterprise service bus architectures.
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.
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