electrical engineer

mechanical engineer

project engineer

planning engineer

civil engineer

ai engineer

Sundus

<div>
 
 Job Title
 
 : AI Engineer (ML, LLM, RAG &amp; Agentic AI)
 
 
 
 Job Code
 
 : JPC 6310
 
 
 
 Experience:
 
 2+ years of experience in AI/ML development.
 
 
 
 Education:
 
 Bachelor s degree in Computer Science, AI, Data Science, or related field.
 
 
 
 Language Skills
 
 : English
 
 
 
 Role Purpose
 
 
 
 The AI Engineer is responsible for developing, testing, and deploying AI/ML and
 
 
 Generative AI solutions, including LLM-based applications, RAG pipelines, and
 
 
 Agentic workflows. This role also includes the ability to deploy and run LLMs on
 
 
 local/on-premise servers, supporting secure and efficient AI solution delivery in
 
 
 enterprise environments.
 
 
 
 Required Skills &amp; Qualifications
 
 
 
 Bachelor s degree in Computer Science, AI, Data Science, or related field.
 
 
 2+ years of experience in AI/ML development.
 
 
 Strong programming skills in Python.
 
 
 
 Hands-on Experience With
 
 
 
 <ul>
 <li>
 Machine learning frameworks (Scikit-learn, PyTorch, or TensorFlow)
 </li>
 <li>
 Basic NLP concepts
 
 
 </li>
 </ul>
 Understanding of ML model lifecycle (training, evaluation, deployment).
 
 
 Familiarity with REST APIs and integration concepts.
 
 
 Experience with Git/version control.
</div>

AI Engineer

DICETEK LLC

<div>Description:
We are looking for an experienced AI Engineer responsible for designing, developing, and deploying Generative AI and Agentic AI solutions that support enterprise-scale business use cases. This role includes building intelligent systems that integrate complex backend services and client-facing applications across web, mobile, and enterprise platforms.
The primary responsibility will be to design and develop AI-powered applications, autonomous agents, and multi-agent workflows, while coordinating with cross-functional teams across architecture, engineering, product, and business functions. Thus, a commitment to collaborative problem solving, sophisticated design, and product quality is essential.
KEY ACCOUNTABILITIES:<ul><li>
Designing and building Generative AI applications using Large Language Models (LLMs)</li><li>
Developing Agentic AI solutions, including autonomous agents, multi-agent orchestration, and workflow-driven decision systems</li><li>
Building solutions using frameworks such as LangChain, LangGraph or similar agent frameworks</li><li>
Implementing RAG architecture with vector databases</li><li>
Knowledge of embeddings, vector DBs, and model evaluation.</li><li>
Implement various Context Engineering strategies to reduce Token Utilization &amp; Latency.</li><li>
Implement RAG Strategies to reduce retrieval latency and answer relevancy.</li><li>
Prompt engineering, tool calling, memory management, and agent orchestration</li><li>
Integrating AI services with enterprise APIs, middle ware, and backend systems</li><li>
Evaluated &amp; Improvise AI Agent Performance using several metrics</li><li>
Deploying scalable AI solutions on Azure / AWS cloud platforms</li><li>
Working with model evaluation, guardrails, observability, and AI governance</li></ul>
QUALIFICATIONS &amp; EXPERIENCE:<ul><li>
Bachelor&rsquo;s degree in computer science, Engineering, or a related field.</li><li>
Senior professional with around 10 years of experience.</li><li>
3+ years of relevant experience in AI Engineering</li><li>
Working experience in an agile software development environment with a good understanding of the principles of agile architecture. Strong collaborative mindset for collective decentralized decision making.</li><li>
Demonstrate strong technical skills with a deep understanding of modern architectural styles and practices such as Microservices, Containers, Cloud (AWS, Azure), APIs, Continuous Delivery, Event-driven architecture, Evolutionary architecture, etc., with a passion for hands on coding.</li><li>
Strong foundation knowledge of software architecture concepts, patterns, principles, and quality attributes. Ability to consistently apply them in real-world scenarios with a pragmatic, system thinking, and problem-solving mindset by analyzing architecture trade-offs for delivering high-quality, sustainable solution architecture.</li><li>
Proven leadership skills with a proactive, positive, and growth mindset. Ability to foster and motivate programmers for delivering with craftsmanship. Good personal skills to continuously engage and communicate with an egoless empathetic mindset.</li><li>
Experience and expertise in delivering architecture for large software solutions meeting critical business purposes. Ability to proactively discover technical debts and continuous improvement opportunities of existing live systems. Work closely with the product owner and enterprise architects to influence and prioritize technical backlog items.</li><li>
Strong proficiency in Python (NumPy, pandas, FastAPI, PyTorch/TensorFlow).</li><li>
Experience with Agent framework LangChain, Lang Graph.</li><li>
Architect end-to-end data indexing pipelines optimized for semantic search and RAG.</li><li>
Design resilient data ingestion frameworks that ensure high availability and low latency for vectorized datasets.</li><li>
Experience deploying and managing models via Amazon Bedrock, Azure OpenAI Service, and Google Vertex AI.</li><li>
Integration of pre-built AI APIs for Speech-to-Text, Computer Vision, and Natural Language Processing (NLP).</li><li>
Leveraging serverless architectures (e.g., AWS Lambda, Azure Functions) to trigger AI inference and data pre-processing.</li><li>
Experience working with CI/CD tools like Jenkins/Gitlab in Cloud Native environments.</li><li>
Experience in setting up pipeline for cloud based and on-prem based application with static code analysis, requirement tagging in Jira.</li><li>
Experience working with one or more DevOps tools &amp; config management tools.</li><li>
Experience in managing and deploying AI workloads in Kubernetes.</li><li>
Experience operating monitoring tools for traditional and cloud environments.</li><li>
Strong analytical mind for problem solving.</li></ul></div>

Senior AI Engineer

La Fosse

<div>
 
 
 European candidates are highly encouraged to apply
 
 
 
 
 
 (UK, Germany, Switzerland, Netherlands, Belgium, Ireland), from Australia and Hong Kong.
 
 
 
 
 
 
 
 
 Based in Abu Dhabi, UAE
 
 
 
 
 AED 60 000 - 70,000 per month (Tax Free) + Outstanding Benefits + Hybrid Working + Relocation Package
 
 
 
 
 
 
 MUST COME FROM CONSULTING ENVIRONMENT!
 
 
 
 
 
 We're partnering with one of the world's leading
 
 global technology consulting
 
 and digital transformation organisations, delivering
 
 cutting-edge AI, Cloud and Enterprise Technology solutions
 
 to some of the world's largest businesses. This is an opportunity to join an elite engineering team driving next-generation AI innovation across enterprise-scale platforms.
 
 
 If you're passionate about
 
 Generative AI, Machine Learning, MLOps and enterprise engineering
 
 , this could be the career move you've been waiting for.
 
 
 
 
 
 
 The Opportunity
 
 
 
 As a
 
 Principal AI/ML Engineer
 
 , you'll provide technical leadership across enterprise AI initiatives, leading the design, architecture and delivery of production-grade AI and Machine Learning platforms. You'll work alongside architects, cloud engineers, software engineers and senior business stakeholders to build scalable, secure and responsible AI solutions.
 
 
 
 
 
 
 Key Requirements
 
 
 
 ✔ Extensive experience delivering
 
 AI/ML solutions into production
 
 
 
 ✔
 
 Expert Python development
 
 
 
 ✔ Strong experience with
 
 PyTorch, TensorFlow and Scikit-learn
 
 
 
 ✔ Deep understanding of Machine Learning, Deep Learning and
 
 Generative AI
 
 
 
 ✔
 
 Strong MLOps
 
 exp including CI/CD, model deployment, monitoring and lifecycle management
 
 
 ✔ Cloud experience across
 
 Azure, AWS or GCP
 
 
 
 ✔ Proven technical leadership, mentoring and architecture ownership
 
 
 ✔ Experience building scalable enterprise AI platforms and engineering best practices
 
 
 
 
 
 
 What's on offer?
 
 
 
 💰
 
 Salary TAX FREE
 
 
 
 ✈️
 
 Relocation package worth approximately AED 50,000 (&pound;10,000 GBP)
 
 
 
 🏥 Comprehensive medical insurance
 
 
 🌴 Generous annual leave
 
 
 🏡 Hybrid working model
 
 
 🚀 Career progression within a global technology leader
 
 
 🌍 Relocation to vibrant Abu Dhabi with an exceptional quality of life
 
</div>

Principal AI Engineer

Enerflex Ltd.

<div>
 
 Summary
 
 
 
 We are seeking experienced and innovative AI Scientists to join our Asset Management team. This role focuses on developing AI-powered applications that enhance operations, optimize maintenance strategies, extend asset life, reduce operating costs, and improve equipment safety. The ideal candidate will be passionate about applying AI technologies&mdash;including LLMs (Large Language Models) and SLMs (Small Language Models)&mdash;to real-world industrial challenges.
 
 
 
 
 Principle Responsibilities and Duties
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI applications to support:
 </li>
 <ul>
 <li>
 Predictive and preventive maintenance
 </li>
 <li>
 Asset life extension strategies
 </li>
 <li>
 Operational cost reduction
 </li>
 <li>
 Equipment safety and reliability
 </li>
 </ul>
 <li>
 Leverage LLMs/SLMs for intelligent automation and decision support
 </li>
 <li>
 Collaborate with cross-functional teams to identify AI opportunities
 </li>
 <li>
 Work within Azure cloud environments and integrate with Microsoft Copilot tools
 </li>
 <li>
 Ensure all work complies with company policies, procedures, and confidentiality standards
 </li>
 <li>
 Provide structured, timely updates and reports on project progress
 </li>
 <li>
 Explore and evaluate emerging AI technologies and methodologies
 </li>
 <li>
 Demonstrate flexibility in adapting to evolving project needs and priorities
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Engineering, or a related field
 </li>
 <li>
 Minimum of 3 years of experience in AI/ML development, preferably in industrial or asset-intensive environments
 </li>
 <li>
 Proficiency in programming languages such as Python, R, or similar
 </li>
 <li>
 Experience working with Azure cloud services and AI tools
 </li>
 <li>
 Familiarity with Microsoft Copilot and its integration into enterprise workflows
 </li>
 <li>
 Strong communication skills in English (written and verbal)
 </li>
 <li>
 Ability to work independently while maintaining alignment with team goals
 </li>
 <li>
 Willingness to travel internationally as required
 </li>
 <li>
 Adherence to strict confidentiality and data protection standards
 </li>
 <li>
 Structured reporting and documentation practices
 </li>
 <li>
 Collaborative and proactive mindset
 </li>
 <li>
 Commitment to continuous learning and innovation
 </li>
 <li>
 Experience with asset management systems or industrial operations in gas compression and gas processing industry
 </li>
 <li>
 Knowledge of maintenance management frameworks (e.g., RCM, CBM)
 </li>
 <li>
 Understanding of data governance, security, and compliance in AI applications
 </li>
 <li>
 Ability to translate business needs into technical solutions
 
 
 </li>
 </ul>
 
 
 Physical Requirements
 
 
 
 
 
 About Us:
 
 
 
 
 Transforming Energy for a Sustainable Future.
 
 Enerflex is a premier integrated global provider of energy infrastructure solutions, covering gas processing, compression, power generation, refrigeration, cryogenic, energy transition, and water solutions. We proudly employ more than 5,000 highly skilled employees across over 25 countries worldwide.
 
 
 Enerflex places its core
 
 Values of Integrity, Commitment, Creativity, and Success
 
 into action across all aspects of the business. Our innovation, strong commitment to safety, and superior service to our customers positions us as the optimal partner to meet the needs of the dynamic energy industry.
 
 
 We foster a culture of ensuring our employees have the tools to do their jobs right, but to also thrive in their roles. We pride ourselves in our competitive wages, extensive rewards programs, celebration of successes of individuals and teams, and are committed to ensuring Enerflex remains a safe and inclusive space for all.
 
 
 
 Enerflex is an Equal Opportunity Employer
 
 
 
 Enerflex grants equal employment opportunity to all qualified persons without regard to race, color, sex, age, national origin, religion, genetic information, mental or physical disability, or any other characteristic protected by applicable federal, state, or local law. Equal employment opportunities are provided in recruitment, hiring, promotions, wages, benefits, and other terms, conditions, and privileges of employment.
 
 
 
 Disclaimer
 
 
 
 The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, tasks, duties, knowledge, skills, and abilities required.
</div>

Halian | Managed Services, Recruitment Agency & Contract Staffing

<div>
 We are seeking an experienced Senior AI Engineer to design, develop, and deploy enterprise-grade AI solutions across complex and large-scale business environments. The ideal candidate will have a strong software engineering background combined with deep expertise in modern AI technologies, Retrieval-Augmented Generation (RAG), LLM integrations, and enterprise system connectivity. This role requires someone who has successfully delivered AI-enabled products within complex organizations, integrating multiple business systems, cloud services, and data platforms while maintaining scalability, security, and performance.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and develop AI-powered applications using modern LLM frameworks and OpenAI technologies.
 </li>
 <li>
 Build and optimize Retrieval-Augmented Generation (RAG) solutions leveraging structured and unstructured enterprise data.
 </li>
 <li>
 Develop scalable backend services using Java Spring Boot and Python.
 </li>
 <li>
 Integrate OpenAI SDKs and AI services into enterprise applications.
 </li>
 <li>
 Implement observability, tracing, evaluation, and monitoring using Langfuse.
 </li>
 <li>
 Build and maintain APIs and microservices supporting AI workloads.
 </li>
 <li>
 Design and optimize data models within PostgreSQL (PGSQL) environments.
 </li>
 <li>
 Develop frontend and mobile experiences using React Native.
 </li>
 <li>
 Integrate Microsoft ecosystem services including Microsoft Graph API, WorkIQ, and other Microsoft platform capabilities.
 </li>
 <li>
 Deliver integrations with enterprise platforms including ERP systems such as SAP, Oracle, Microsoft Dynamics, or similar solutions.
 </li>
 <li>
 Collaborate with Product Owners, Architects, Security teams, and business stakeholders to define AI use cases and technical solutions.
 </li>
 <li>
 Ensure AI solutions meet enterprise requirements for scalability, security, governance, and reliability.
 
 
 </li>
 </ul>
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 Minimum 5 years of software engineering experience with proven delivery of enterprise-scale applications.
 </li>
 <li>
 Demonstrated experience working on large-scale, complex projects involving multiple integrations, stakeholders, and high-volume workloads.
 </li>
 <li>
 Strong hands-on experience with Python development.
 </li>
 <li>
 Strong experience with Java Spring Boot and microservices architecture.
 </li>
 <li>
 Practical experience with OpenAI APIs and SDKs.
 </li>
 <li>
 Experience designing and implementing RAG architectures.
 </li>
 <li>
 Hands-on experience with Langfuse or similar LLM observability and monitoring platforms.
 </li>
 <li>
 Strong knowledge of PostgreSQL (PGSQL).
 </li>
 <li>
 Experience building applications using React Native.
 </li>
 <li>
 Experience integrating with Microsoft Graph API and Microsoft productivity ecosystem services.
 </li>
 <li>
 Experience integrating enterprise systems and ERP platforms.
 </li>
 <li>
 Strong understanding of RESTful APIs, authentication, security, and application scalability.
 </li>
 <li>
 Experience working within Agile delivery environments.
 </li>
 <li>
 Excellent problem-solving, communication, and stakeholder management skills.
 </li>
 <li>
 Preferred Qualifications
 </li>
 <li>
 Experience with Azure AI Services, Azure OpenAI, or cloud-native AI architectures.
 </li>
 <li>
 Experience with vector databases and semantic search technologies.
 </li>
 <li>
 Understanding of AI governance, security, and responsible AI principles.
 </li>
 <li>
 Experience deploying AI workloads in production environments.
 </li>
 <li>
 Knowledge of containerization technologies such as Docker and Kubernetes.
 </li>
 <li>
 Experience designing multi-agent or agentic AI workflows.
 
 
 </li>
 </ul>
 AI Engineer in Abu Dhabi, United Arab Emirates
 
 
</div>

AI Engineer (m/f/d)

<div>We are looking for an experienced AI Engineer responsible for designing, developing, and deploying Generative AI and Agentic AI solutions that support enterprise-scale business use cases. The role will build intelligent systems that integrate complex backend services and client-facing applications across web, mobile and enterprise platforms.
The primary responsibility is to design and develop AI-powered applications, autonomous agents and multi-agent workflows while coordinating with cross-functional teams across architecture, engineering, product and business functions. A commitment to collaborative problem solving, sophisticated design and product quality is essential.
This role requires strong hands-on engineering experience, practical working knowledge of modern agent frameworks, and the ability to deliver secure, scalable, observable and governed AI solutions in cloud-native environments. 
QUALIFICATIONS &amp; EXPERIENCE:
Minimum Qualification<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Technology, Data Science, Artificial Intelligence or a related discipline.</li><li>Relevant cloud, AI engineering, machine learning or architecture certifications are preferred.</li></ul> 
Minimum Experience<ul><li>Senior professional with around 10 years of total software engineering, architecture, cloud or platform engineering experience.</li><li>Minimum 3+ years of relevant hands-on AI Engineering experience, including Generative AI and practical LLM-based application delivery.</li><li>Strong proficiency in Python, including NumPy, pandas, FastAPI and hands-on experience with PyTorch or TensorFlow.</li><li>Hands-on experience with LangChain and LangGraph; mandatory working experience with Microsoft Semantic Kernel and Microsoft AutoGen.</li><li>Experience implementing RAG using embeddings, vector databases, semantic search, retrieval optimization and model evaluation techniques.</li><li>Experience deploying and managing models using Amazon Bedrock, Azure OpenAI Service and Google Vertex AI.</li><li>Hands-on experience with microservices, containers, APIs, event-driven architecture, cloud-native services and evolutionary architecture practices.</li><li>Experience managing and deploying AI workloads on Kubernetes in cloud-native and/or hybrid environments.</li><li>Experience with CI/CD tools such as Jenkins or GitLab, DevOps toolchains, configuration management and cloud/on-prem deployment pipelines.</li><li>Experience setting up pipelines with static code analysis, requirement tagging in Jira, quality gates and release governance.</li><li>Experience operating monitoring tools for traditional infrastructure, cloud environments and AI-enabled business applications.</li><li>Strong hands-on problem-solving mindset with the ability to analyze trade-offs and deliver sustainable, secure and high-quality solutions.</li></ul> 
Key Technical Skills<ul><li>Generative AI, Agentic AI, autonomous agents, multi-agent orchestration and workflow-based AI systems.</li><li>LLMs, embeddings, vector databases, RAG, semantic search, model evaluation, guardrails, observability and AI governance.</li><li>Semantic Kernel, AutoGen, LangChain, LangGraph and similar agent frameworks.</li><li>Python, FastAPI, PyTorch/TensorFlow, REST APIs, microservices, serverless functions and event-driven integration.</li><li>Azure, AWS, Kubernetes, containers, CI/CD, DevOps automation, monitoring and secure software delivery.</li></ul>
Behavioural / Leadership Skills<ul><li>Strong collaborative mindset for agile architecture and decentralized decision making.</li><li>Proactive, positive and growth-oriented leadership style with the ability to motivate engineers and foster craftsmanship.</li><li>Strong communication, stakeholder engagement and influencing skills across product, business, architecture and engineering teams.</li><li>Analytical, system-thinking and pragmatic problem-solving approach with commitment to product quality.</li></ul> 
Skills: Generative AI , Python , Kubernetes</div>

AI Engineer – Generative AI & Agentic AI

Salient Group

<div>
 
 
 AI/ML Engineer (Mid, Senior, Lead)
 
 
 
 
 Location
 
 | Abu Dhabi/Dubai (Hybrid)
 
 
 
 Comp
 
 | $200k-$250k + Equity + Package
 
 
 
 Focus
 
 | Real-World AI Deployment Across Enterprise &amp; Operational Environments, AI Systems, LLM Applications &amp; Agentic Workflows
 
 
 
 
 
 We&rsquo;re working with a frontier AI company that builds and deploys AI systems for the world&rsquo;s most important institutions, automating billion-dollar processes, unlocking national productivity, and modernising the infrastructure of society itself. This is not research for research&rsquo;s sake. This is applied AI, deployed in the real world.
 
 
 
 
 
 They are backed by some of the world&rsquo;s most respected founders and AI pioneers, and built a 70+ person team from tier-1 companies. Now, they&rsquo;re expanding globally and looking for engineers who want to own the deployment of AI that changes how the world works.
 
 
 
 
 
 
 The Role
 
 
 
 As an AI/ML Engineer, you&rsquo;ll turn state-of-the-art models into production-grade systems that power national-scale change. You&rsquo;ll design, deploy, and optimise AI applications that automate some of the hardest real-world processes from energy and healthcare to government operations.
 
 
 
 
 
 You&rsquo;ll be embedded in small, elite teams that own problems end-to-end: architecture, data, model design, deployment, and iteration. No silos. No bureaucracy. Just impact.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build and deploy applied AI systems: from LLMs and agentic reasoning models to scalable data pipelines and production infrastructure.
 </li>
 <li>
 Solve world-scale problems: automate complex workflows, improve public outcomes, and optimise critical national systems.
 </li>
 <li>
 Collaborate with leaders and clients: work directly with government officials, enterprise executives, and industry veterans to translate ideas into deployed solutions.
 </li>
 <li>
 Operate like a founder: own delivery, make decisions fast, and help shape the next generation of applied AI tooling.
 </li>
 <li>
 Stay ahead of the curve: explore the latest GenAI, LLM, and reasoning research to push models from theory to practice.
 </li>
 </ul>
 
 
 
 
 
 You&rsquo;ll Thrive Here If You&hellip;
 
 
 <ul>
 <li>
 Have hands-on experience building GenAI or LLM-based applications (agents, RAG, reasoning models).
 </li>
 <li>
 Know your way around Python, PyTorch, JAX, or TensorFlow, with strong software engineering fundamentals.
 </li>
 <li>
 Can work across data pipelines, APIs, and production deployments with speed and precision.
 </li>
 <li>
 Enjoy autonomy, creative problem-solving, and owning solutions end-to-end.
 </li>
 <li>
 Want your work to matter to see it deployed across industries, governments, and communities.
 </li>
 </ul>
 
 
 
 
 
 Why Join
 
 
 <ul>
 <li>
 Build at frontier scale: ship real systems used by governments, hospitals, and energy leaders worldwide.
 </li>
 <li>
 Elite peers: collaborate with engineers and researchers from tier-1 places.
 </li>
 <li>
 Move fast, own outcomes: you&rsquo;ll ship code in weeks, not quarters.
 </li>
 <li>
 Meaningful rewards: competitive comp, equity, and ownership tied to real impact.
 </li>
 <li>
 Support to thrive: daily lunches, full benefits, 401(k), and unlimited PTO.
 </li>
 </ul>
 
 
 
 
 If you want to build AI that doesn&rsquo;t just predict but powers economies, saves lives, and redefines what&rsquo;s possible , this is where you do it.
 
 
 
 
 
 Join the team building AI that actually ships. Get in touch with danny@salientgroup.com.au for more information.
 
</div>

Artificial Intelligence Engineer

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69 ai engineer jobs In Abu Dhabi

AI Engineer

Senior AI Engineer

Principal AI Engineer

AI Engineer

AI Engineer (m/f/d)

AI Engineer – Generative AI & Agentic AI

Artificial Intelligence Engineer