applications engineer

Discovered MENA

<div>
 <p>
  <strong>
   <u>
    Applied AI Engineer &ndash; Abu Dhabi
   </u>
  </strong>
 </p>
 <p>
  <strong>
   <u>
    Discover the Opportunity
   </u>
  </strong>
 </p>
 <p>
  We&rsquo;re partnering with a major enterprise in Abu Dhabi that is building next-generation AI capabilities to power large-scale, real-world systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role sits within a central AI function responsible for developing and deploying advanced AI applications across multiple entities. The team is focused on leveraging cutting-edge technologies including large language models, retrieval systems, and agent-based workflows to deliver scalable, production-grade solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a unique opportunity to work at the forefront of applied AI, contributing to the development of AI-driven systems that operate at an enterprise level.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Discover the Role
   </u>
  </strong>
 </p>
 <p>
  As an Applied AI Engineer, you will design and deliver end-to-end AI-powered applications, working at the intersection of AI engineering, software development, and product delivery.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You will take ownership of building robust, production-ready systems leveraging modern AI capabilities, translating complex requirements into scalable solutions. This role requires strong hands-on engineering expertise combined with a deep understanding of how to operationalise AI in real-world environments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Discover the Responsibilities
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Design and deploy production-grade AI applications powered by large language models, including assistants, copilots, and automation tools
  </li>
  <li>
   Build advanced agent-based systems capable of multi-step reasoning, planning, and tool integration
  </li>
  <li>
   Develop end-to-end retrieval-augmented generation (RAG) systems, including data ingestion pipelines, vector databases, and retrieval optimisation
  </li>
  <li>
   Expose AI capabilities through scalable APIs that integrate seamlessly with existing systems and data platforms
  </li>
  <li>
   Define and implement evaluation frameworks to measure model performance, detect issues, and continuously improve system quality
  </li>
  <li>
   Translate complex and ambiguous requirements into structured engineering solutions with clear success metrics
  </li>
  <li>
   Build reusable components, frameworks, and infrastructure to enable scalable AI adoption across multiple entities
  </li>
  <li>
   Collaborate with cross-functional teams to deliver reliable, high-performance AI systems
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Discover the Requirements
   </u>
  </strong>
 </p>
 <ul>
  <li>
   7+ years of experience in
   <strong>
    Applied AI
   </strong>
   , machine learning engineering, or software engineering roles
  </li>
  <li>
   Strong programming skills in Python, with solid software engineering fundamentals including system design, testing, and performance optimisation
  </li>
  <li>
   Proven experience building and deploying AI/ML systems in production environments
  </li>
  <li>
   Hands-on experience working with large language models and deploying LLM-powered applications
  </li>
  <li>
   Strong understanding of the challenges of deploying AI systems in production, including latency, reliability, and model behaviour
  </li>
  <li>
   Experience designing scalable, reliable, and high-performance systems
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Preferred experience:
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Experience building RAG systems end-to-end, including retrieval pipelines and vector search
  </li>
  <li>
   Familiarity with agent-based frameworks such as LangChain, LangGraph, AutoGen, or similar
  </li>
  <li>
   Experience designing evaluation frameworks for AI systems, including performance monitoring and regression detection
  </li>
  <li>
   Exposure to conversational AI systems, including speech or real-time interaction pipelines
  </li>
  <li>
   Experience working with modern AI inference infrastructure and deployment environments
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Applied AI Engineer

Klanik

<div>
 <p>
  🚀
  <strong>
   Hiring: AI Engineer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  📍
  <strong>
   Location:
  </strong>
  Abu Dhabi, UAE
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an experienced
  <strong>
   AI Engineer
  </strong>
  to design, develop, and deploy scalable AI solutions for enterprise applications. This role combines AI/ML engineering, data engineering, and modern software development to build intelligent, production-ready systems powered by large language models and advanced AI technologies.
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔹
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Strong data-engineering foundation &mdash; data pipelines, ETL / ELT &amp; data modelling
 </p>
 <p>
  &bull; Big-data &amp; streaming (Spark, Kafka, Airflow); data lakehouse/warehouse (Databricks, Snowflake)
 </p>
 <p>
  &bull; Python (FastAPI), Node.js &bull; Agentic AI systems (LLMs, Agents, Tool Calling, Multi-Agent Orchestration)
 </p>
 <p>
  &bull; RAG, Knowledge Graphs &amp; Vector Databases (Qdrant, Milvus, FAISS)
 </p>
 <p>
  &bull; AI workflow orchestration &amp; event-driven architectures
 </p>
 <p>
  &bull; AI/ML model deployment &amp; inference optimization
 </p>
 <p>
  &bull; REST APIs, microservices &amp; distributed systems
 </p>
 <p>
  &bull; Integration of AI services with enterprise applications and data platforms
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔹
  <strong>
   <u>
    Languages
   </u>
   :
  </strong>
 </p>
 <p>
  &middot; English
 </p>
 <p>
  . Excellent communication, verbal and written skills.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Are you looking for a great opportunity to be part of an amazing challenge with great development possibilities? This job is for you !!!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    About KLANIK:
   </u>
  </strong>
 </p>
 <p>
  Klanik is an IT consulting company providing solutions to some of the world&rsquo;s largest industrial and services groups for 14 years. We support our clients with the creation and development of their new products and services around 4 main business lines:
 </p>
 <p>
  <br/>
 </p>
 <p>
  ➜ Information Technology and Systems (IT &amp; IS)
 </p>
 <p>
  ➜ DevOps and Cloud
 </p>
 <p>
  ➜ Big Data and AI
 </p>
 <p>
  ➜ Cybersecurity
 </p>
 <p>
  <br/>
 </p>
 <p>
  Klanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, Middle East and the Americas.
 </p>
 <p>
  Our Team is dedicated to offer our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values.
 </p>
 <p>
  We&rsquo;re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Being a &ldquo;KLANIK&rdquo;
   </u>
  </strong>
 </p>
 <p>
  That means being an out of the box thinker, a precursor who is keen to create, innovate and collaborate in an environment where you can enjoy being yourself and valued for your ideas. It&rsquo;s being part of a community of experts that have a passion for and stay abreast of the latest technologies.
 </p>
 <p>
  You feel like a technology pioneer, full of creative ideas, supported by a strong know how and expertise in the latest technologies? We believe you could be a good fit to our culture!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Our culture is our pride
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  At Klanik, we believe that we are stronger together than we are alone. Trust, ethics, respect and transparency are deeply fixed in our culture, alongside with the pride in a job well done.
 </p>
 <p>
  Our community motto is that people give the best of them when they feel listened, respected and empowered to develop themselves. Therefore the better we treat our people, the bigger the success they will achieve. We apply those values on day to day basis among our teams, with our clients and even with our competitors.
 </p>
 <p>
  Being part of the Klanik community means relying on each other, learning from each other&rsquo;s and growing all together. Our community fosters creativity, innovation and development within our teams to tackle more and more complex challenges and deliver the best solutions to our clients.
 </p>
</div>


AI Engineer

Yokogawa

<div>
 <strong>
  Not just a job, but a career
  <br/>
  <br/>
 </strong>
 Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.
 <br/>
 <br/>
 Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.
 <br/>
 <br/>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 The AI/ML Process Engineer supports the design and delivery of AI/ML-based process solutions and contributes to AI-driven operational improvement across Oil &amp; Gas, Petrochemical, and other process-industry domains. Working under the guidance of senior consultants, the role combines a solid process-operations foundation with growing AI/ML capability to help translate operational problem statements into practical, well-documented solutions. The role contributes to solution development, hands-on implementation, and pilot delivery, and supports the Digital Enterprise Business Unit / Solution Division in building capabilities and supporting growth across the YMA region.
 <br/>
 <br/>
 <strong>
  Key Responsibilities &amp; Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Technical Analysis &amp; Solution Support
  </li>
  <li>
   Support technical analysis leveraging AI/ML and Digital Twin technology, including data gathering and gap analysis, to help identify opportunities for resolving customers' process problems.
  </li>
  <li>
   Contribute to solution designs and help develop detailed design specifications for AI solutions under the direction of senior consultants.
  </li>
  <li>
   Help capture functional requirements through client interviews, documentation analysis, and workflow / process mapping.
  </li>
  <li>
   Provide input to effort estimates for implementing AI solutions, drawing on technical guidance from senior team members.
  </li>
  <li>
   Business Case &amp; Application Support
  </li>
  <li>
   Support the development of business cases for focused AI applications and assist with their implementation within the assigned process industry / application.
  </li>
  <li>
   Assist senior consultants in advising customers on suitable AI/ML solutions, and support solution design and demonstration activities.
  </li>
  <li>
   Support the preparation of Feasibility Study / Business Case reports that help customers with FID / budgeting approvals.
  </li>
  <li>
   Client Engagement &amp; Relationship Management
  </li>
  <li>
   Engage with customers alongside senior consultants to understand expectations and help ensure they are met through AI/ML solutions.
  </li>
  <li>
   Contribute to the technical approach for AI implementation, helping integrate simulation / Digital Twin and, where applicable, APC/RTO technologies.
  </li>
  <li>
   Help develop solutions that resolve customer process problems and support business growth in the assigned technical area(s).
  </li>
  <li>
   Assist existing customers in problem resolution, identify future opportunities, and provide ongoing service support to clients under contract.
  </li>
  <li>
   Project Delivery &amp; Quality Assurance
  </li>
  <li>
   Deliver assigned technical tasks and deliverables across the lifecycle of solution-development projects, under the guidance of senior consultants.
  </li>
  <li>
   Help ensure the timeliness and quality of assigned deliverables while supporting the broader delivery team.
  </li>
  <li>
   Apply AI best-practice approaches, standards, and methods appropriately throughout delivery.
  </li>
  <li>
   Participate actively as a member of technical project teams, building and maintaining effective working relationships.
  </li>
  <li>
   Knowledge Sharing, Training &amp; Enablement
  </li>
  <li>
   Support Smart Manufacturing / Digital Transformation (SM/DX) training efforts by providing input, documenting requirements, and supporting the design and delivery of AI-related training programs.
  </li>
  <li>
   Sales Collaboration &amp; Growth
  </li>
  <li>
   Work with sales personnel to help position solutions and support opportunity development.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualification And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or master&rsquo;s in chemical engineering (or a related engineering discipline) preferred, with a minimum of 7-10 years of industrial process experience in process operations, engineering, or related software/automation work (APC/RTO exposure an advantage).
  </li>
  <li>
   Some hands-on experience with AI/ML applications in an industrial setting (as part of the experience above); a willingness to deepen AI/ML skills on the job is essential, and exposure to AI for process control is an advantage.
  </li>
  <li>
   Working knowledge of AI/ML methods and the model lifecycle, with awareness of best-practice deployment approaches.
  </li>
  <li>
   Strong problem-solving skills with an emphasis on solution development.
  </li>
  <li>
   Work location: Yokogawa Global AI CoE Centre, United Arab Emirates (UAE).
  </li>
  <li>
   Willing and able to travel throughout the YMA region and globally as required.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Competencies &amp; Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong exposure to Machine Learning technologies, including automated data collection, historian applications (OSI PI a plus), data visualization, manufacturing quality and efficiency, SCADA, automated decision and control, workflow, database applications, and scheduling.
  </li>
  <li>
   Working knowledge and implementation experience with advanced process applications (e.g. MPA / APC / RTO) is an advantage.
  </li>
  <li>
   Awareness of, or working knowledge of, Python, R, and common Machine Learning frameworks is an added value.
  </li>
  <li>
   Strong knowledge of IIoT integration concepts and architectures.
  </li>
  <li>
   Up-to-date awareness of the latest AI and Digital Twin market trends.
  </li>
  <li>
   Knowledge of the Oil &amp; Gas, Petrochemical, or specialty chemicals domains is a plus.
  </li>
  <li>
   Strong communicator and collaborative team player, comfortable working with colleagues and customer stakeholders.
  </li>
  <li>
   Strong problem-solving orientation with a focus on practical solution development.
   <br/>
   <br/>
  </li>
 </ul>
 &ldquo;All appointments are subject to the successful completion of applicable background verification checks.&rdquo;
 <br/>
 <br/>
 Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.
 <br/>
 <br/>
 Are you being referred to one of our roles? If so, ask your connection at Yokogawa
 <br/>
 <br/>
 about our Employee Referral process!
</div>


AI/ML Process Engineer

<div><p><b>Not just a job, but a career</b></p><p>
Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.</p><p></p><p>
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.</p><p></p><p><b>
About the Team</b><br>
Our 18,000 employees work in over 60 countries with one corporate mission, to &quot;co-innovate tomorrow&quot;. We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.</p><p></p><p><b>
Job Purpose</b></p><p></p><p>
The AI/ML Process Engineer supports the design and delivery of AI/ML-based process solutions and contributes to AI-driven operational improvement across Oil &amp; Gas, Petrochemical, and other process-industry domains. Working under the guidance of senior consultants, the role combines a solid process-operations foundation with growing AI/ML capability to help translate operational problem statements into practical, well-documented solutions. The role contributes to solution development, hands-on implementation, and pilot delivery, and supports the Digital Enterprise Business Unit / Solution Division in building capabilities and supporting growth across the YMA region.</p><p></p><p><b>
Key Responsibilities &amp; Accountabilities</b></p><p></p><p><b>
1. Technical Analysis &amp; Solution Support</b></p><ul><li>
Support technical analysis leveraging AI/ML and Digital Twin technology, including data gathering and gap analysis, to help identify opportunities for resolving customers' process problems.</li><li>
Contribute to solution designs and help develop detailed design specifications for AI solutions under the direction of senior consultants.</li><li>
Help capture functional requirements through client interviews, documentation analysis, and workflow / process mapping.</li><li>
Provide input to effort estimates for implementing AI solutions, drawing on technical guidance from senior team members.</li></ul><p><b>
2. Business Case &amp; Application Support</b></p><ul><li>
Support the development of business cases for focused AI applications and assist with their implementation within the assigned process industry / application.</li><li>
Assist senior consultants in advising customers on suitable AI/ML solutions, and support solution design and demonstration activities.</li><li>
Support the preparation of Feasibility Study / Business Case reports that help customers with FID / budgeting approvals.</li></ul><p><b>
3. Client Engagement &amp; Relationship Management</b></p><ul><li>
Engage with customers alongside senior consultants to understand expectations and help ensure they are met through AI/ML solutions.</li><li>
Contribute to the technical approach for AI implementation, helping integrate simulation / Digital Twin and, where applicable, APC/RTO technologies.</li><li>
Help develop solutions that resolve customer process problems and support business growth in the assigned technical area(s).</li><li>
Assist existing customers in problem resolution, identify future opportunities, and provide ongoing service support to clients under contract.</li></ul><p><b>
4. Project Delivery &amp; Quality Assurance</b></p><ul><li>
Deliver assigned technical tasks and deliverables across the lifecycle of solution-development projects, under the guidance of senior consultants.</li><li>
Help ensure the timeliness and quality of assigned deliverables while supporting the broader delivery team.</li><li>
Apply AI best-practice approaches, standards, and methods appropriately throughout delivery.</li><li>
Participate actively as a member of technical project teams, building and maintaining effective working relationships.</li></ul><p><b>
5. Knowledge Sharing, Training &amp; Enablement</b></p><ul><li>
Support Smart Manufacturing / Digital Transformation (SM/DX) training efforts by providing input, documenting requirements, and supporting the design and delivery of AI-related training programs.</li></ul><p><b>
6. Sales Collaboration &amp; Growth</b></p><ul><li>
Work with sales personnel to help position solutions and support opportunity development.</li></ul><p></p><p><b>
Qualification and Experience:</b></p><ul><li><b>
Bachelor&rsquo;s or master&rsquo;s in chemical engineering (or a related engineering discipline) preferred</b>, with a minimum of <b>7-10 years of industrial process experience</b> in process operations, engineering, or related software/automation work (APC/RTO exposure an advantage).</li><li><b>
Some hands-on experience</b> with AI/ML applications in an industrial setting (as part of the experience above); a willingness to deepen AI/ML skills on the job is essential, and exposure to AI for process control is an advantage.</li><li>
Working knowledge of AI/ML methods and the model lifecycle, with awareness of best-practice deployment approaches.</li><li>
Strong problem-solving skills with an emphasis on <b>solution development</b>.</li><li>
Work location: <b>Yokogawa Global AI CoE Centre, United Arab Emirates (UAE)</b>.</li><li>
Willing and able to <b>travel throughout the YMA region and globally</b> as required.</li></ul><p></p><p><b>
Competencies &amp; Skills
</b></p><ul><li>Strong exposure to Machine Learning technologies, including automated data collection, historian applications (OSI PI a plus), data visualization, manufacturing quality and efficiency, SCADA, automated decision and control, workflow, database applications, and scheduling.</li><li>
Working knowledge and implementation experience with advanced process applications (e.g. MPA / APC / RTO) is an advantage.</li><li>
Awareness of, or working knowledge of, Python, R, and common Machine Learning frameworks is an added value.</li><li>
Strong knowledge of IIoT integration concepts and architectures.</li><li>
Up-to-date awareness of the latest AI and Digital Twin market trends.</li><li>
Knowledge of the Oil &amp; Gas, Petrochemical, or specialty chemicals domains is a plus.</li><li>
Strong communicator and collaborative team player, comfortable working with colleagues and customer stakeholders.</li><li>
Strong problem-solving orientation with a focus on practical solution development.</li></ul><p></p><p>
&ldquo;All appointments are subject to the successful completion of applicable background verification checks.&rdquo;</p><p></p><p>
Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.</p><p></p><p>
Are you being referred to one of our roles? If so, ask your connection at Yokogawa<br>
about our Employee Referral process!</p></div>

Salt

<div>
 <p>
  We are hiring
  <strong>
   𝐈𝐓 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫
  </strong>
  for an Abu Dhabi-based opportunity 🇦🇪. This opportunity is ideal for an Emirati professional who enjoys combining technical expertise with project delivery, supporting the successful implementation of enterprise IT solutions in a dynamic environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬
 </p>
 <p>
  &bull; Drive the technical execution of IT projects by supporting the deployment and operation of business-critical systems.
 </p>
 <p>
  &bull; Work closely with cross-functional teams to resolve technical challenges and ensure project milestones are delivered on schedule.
 </p>
 <p>
  &bull; Evaluate system health through regular performance reviews and implement improvements that enhance reliability and efficiency.
 </p>
 <p>
  &bull; Assist in configuring, maintaining, and optimizing software platforms while ensuring seamless connectivity across integrated systems.
 </p>
 <p>
  &bull; Produce clear technical documentation, maintain project records, and provide regular updates on implementation progress.
 </p>
 <p>
  &bull; Participate in testing, validation, and continuous improvement activities to ensure solutions meet operational and quality expectations.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬
 </p>
 <p>
  &bull; Bachelor's degree in Computer Engineering, Software Engineering, Information Technology, Electronics, Telecommunications, or a related engineering discipline.
 </p>
 <p>
  &bull; 2+ years of experience supporting IT infrastructure, enterprise applications, or technology implementation projects.
 </p>
 <p>
  &bull; Good understanding of operating systems, networking principles, databases, and system integration concepts.
 </p>
 <p>
  &bull; Strong problem-solving mindset with the ability to prioritize multiple tasks in a fast-paced environment.
 </p>
 <p>
  &bull; Excellent communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  𝐖𝐡𝐚𝐭 𝐌𝐚𝐤𝐞𝐬 𝐓𝐡𝐢𝐬 𝐑𝐨𝐥𝐞 𝐒𝐭𝐫𝐨𝐧𝐠
 </p>
 <p>
  This is an excellent opportunity to build hands-on experience in large-scale technology projects while working alongside experienced professionals. The role offers exposure to end-to-end project delivery, modern IT environments, and continuous learning within a collaborative team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  𝐇𝐨𝐰 𝐭𝐨 𝐀𝐩𝐩𝐥𝐲
 </p>
 <p>
  Interested candidates with relevant experience are encouraged to apply.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    ***Only shortlisted candidates will be contacted***
   </em>
  </strong>
 </p>
</div>


IT Project Engineer (EMIRATI)

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>The Principal Full-Stack Architect (.NET &amp; Cloud) is a senior technical leader responsible for defining and driving the architecture of enterprise-scale applications across cloud, backend, frontend, data, DevOps, and AI-enabled solutions. The role combines strategic technology leadership with hands-on technical expertise, ensuring that solutions are scalable, secure, maintainable, and aligned with business objectives
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Drive the full SDLC for Azure solutions: planning, requirement definition, development, testing, and quality assurance.
</p></div><div><p>Develop, enhance, and integrate modules within core applications used by front-office investment teams.
</p></div><div><p>Design and build containerized applications (Docker, Kubernetes/AKS) and cloud-native data stores (Mongo, SQL).
</p></div><div><p>Develop RESTful APIs, microservices, and event-driven systems (Service Bus, Event Hubs) with strict secure-integration standards (OAuth2/OIDC, managed identities).
</p></div><div><p>Build responsive, cloud-connected front-end interfaces (React/TypeScript; real-time via SignalR).
</p></div><div><p>Design and deliver AI-enabled capabilities: document intelligence, retrieval/search (AI Search), and Azure OpenAI-based workloads over structured and unstructured data.
</p></div><div><p>Configure, maintain, and optimize CI/CD pipelines and infrastructure-as-code (Bicep/ARM, Terraform); enable self-service engineering capabilities.
</p></div><div><p>Implement large-scale data processing and advanced analytics solutions in collaboration with architecture and data teams.
</p></div><div><p>Own incident management: troubleshooting, root cause analysis, and preventive measures.
</p></div><div><p>Partner directly with senior IT and business stakeholders; own the platform narrative, adoption strategy, and delivery roadmap.
</p></div><div><p>Mentor cross-functional teams on cloud-native and AI best practices
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Must have:
</p></div><div><p>10+ years overall IT experience with a proven track record of architecting and delivering scalable cloud solutions through all SDLC phases.
</p></div><div><p>10+ years of .NET (C#) development within service-oriented and microservices architectures, including: ASP.NET Core / Web API, Entity Framework Core, async and concurrency patterns, and hands-on migration from .NET Framework to .NET 6/
</p></div><div><p>Production code on a current LTS version is expected; legacy-only (.NET Framework, WebForms) profiles do not qualify.
</p></div><div><p>7+ years hands-on Microsoft Azure: App Services, Functions, Logic Apps, AKS/Container Apps, APIM, Service Bus/Event Hubs, AI Search, AI Services/Azure OpenAI, Storage, Key Vault, Application Insights, Monitor. Skills:
</p></div><div><p>Demonstrated architecture ownership: solution/application architecture defined and delivered end-to-end at enterprise scale, including presenting architectural strategy to senior leadership. Candidates with purely implementation-level experience will not be considered.
</p></div><div><p>5+ years containerization and orchestration (Docker, Kubernetes/AKS) in production.
</p></div><div><p>5+ years Azure DevOps and CI/CD, including infrastructure-as-code (Bicep/ARM mandatory; Terraform preferred).
</p></div><div><p>Practical delivery of AI/GenAI workloads on Azure (Azure OpenAI, AI Search, document intelligence, or equivalent) &mdash; in production, within the last 24 months. Proof-of-concept-only or pre-2024 experience does not qualify.
</p></div><div><p>Deep database expertise: NoSQL (Mongo) and relational SQL, including data access patterns for AI use cases.
</p></div><div><p>Expertise in designing and consuming secure REST APIs; strong understanding of network architecture and authentication protocols (OAuth2/OIDC, managed identities).
</p></div><div><p>Modern front-end delivery: React/TypeScript with real-time capabilities (SignalR).
</p></div><div><p>Experience in regulated environments (financial services / investment management strongly preferred). Required certifications:
</p></div><div><p>Microsoft Certified: Azure Solutions Architect Expert: required. Applications without it are not shortlisted.
</p></div><div><p>Plus at least one of: Azure DevOps Engineer Expert or Azure AI Engineer Associate.
</p></div></div><p>Nice to have
</p><div><div><p>AWS and/or GCP exposure (multi-cloud evaluation experience)
</p></div><div><p>Terraform in production
</p></div><div><p>Python
</p></div><div><p>Databricks (recent, Unity Catalog-era experience) or comparable data/AI platforms; Palantir exposure
</p></div><div><p>Azure Security Engineer Associate
</p></div><div><p>Experience establishing self-service platforms for citizen developers
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-123799
</p></div><div></div><div><div><p>C#/VB.NET
</p></div><div><p>BCM Industry</p>
</div><div><p>07/07/2026
</p></div><div><p>Req. VR-123799</p></div></div></div><p></p>

Principal Full-Stack Architect (.NET & Cloud)

Atain

<div>
 <p>
  <strong>
   Job Title: AI Engineer &ndash; Azure Databricks | Agentic AI | MCP Servers
  </strong>
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  7&ndash;12 Years
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Abu Dhabi, UAE
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Summary
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an experienced
  <strong>
   AI Engineer
  </strong>
  with strong expertise in
  <strong>
   Azure Databricks, Agentic AI, and Model Context Protocol (MCP) Servers
  </strong>
  to design and develop next-generation AI solutions for enterprise applications. The ideal candidate will have hands-on experience in building LLM-powered applications, multi-agent systems, and scalable AI data pipelines. Experience in the
  <strong>
   Revenue Management domain
  </strong>
  is a strong advantage.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design, develop, and deploy AI solutions using
   <strong>
    Azure Databricks
   </strong>
   , Python, and modern AI frameworks.
  </li>
  <li>
   Build and orchestrate
   <strong>
    Agentic AI
   </strong>
   applications using multi-agent architectures and autonomous workflows.
  </li>
  <li>
   Develop, integrate, and manage
   <strong>
    Model Context Protocol (MCP) Servers
   </strong>
   for secure tool and data access.
  </li>
  <li>
   Design and implement
   <strong>
    Retrieval-Augmented Generation (RAG)
   </strong>
   pipelines for enterprise AI applications.
  </li>
  <li>
   Fine-tune, evaluate, and optimize Large Language Models (LLMs) for business use cases.
  </li>
  <li>
   Build scalable data pipelines using
   <strong>
    PySpark
   </strong>
   , SQL, and Delta Lake on Azure Databricks.
  </li>
  <li>
   Integrate AI applications with enterprise systems, APIs, and cloud services.
  </li>
  <li>
   Collaborate with data engineers, product teams, and business stakeholders to deliver AI-driven solutions.
  </li>
  <li>
   Monitor AI model performance, ensure governance, security, and responsible AI practices.
  </li>
  <li>
   Stay updated with emerging AI technologies and recommend innovative solutions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   7&ndash;12 years of overall IT experience with strong AI/ML development expertise.
  </li>
  <li>
   Hands-on experience with
   <strong>
    Azure Databricks
   </strong>
   ,
   <strong>
    PySpark
   </strong>
   , Python, and SQL.
  </li>
  <li>
   Strong experience building
   <strong>
    Agentic AI
   </strong>
   solutions and multi-agent orchestration.
  </li>
  <li>
   Experience developing and deploying
   <strong>
    MCP Servers
   </strong>
   .
  </li>
  <li>
   Expertise in
   <strong>
    Large Language Models (LLMs)
   </strong>
   , Prompt Engineering, RAG, Vector Databases, and AI orchestration frameworks.
  </li>
  <li>
   Experience with
   <strong>
    Azure AI Services
   </strong>
   , Azure OpenAI, or similar cloud AI platforms.
  </li>
  <li>
   Knowledge of REST APIs, microservices, and cloud-native architectures.
  </li>
  <li>
   Strong problem-solving skills and ability to work in Agile environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Atain:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   (http://www.atain.com)
  </strong>
 </p>
 <p>
  Atain is an enterprise orchestration partner that aligns people, processes, and platforms with AI to redefine work and deliver assured outcomes. It is enabled through the SMART Frameworkdriving superior metrics with AI-redefined work, the TechBud platform, a GenAI foundation built on zero-pilot architecture and ISO 42001 standards, a robust partner ecosystem, and deep domain expertise. Atain's Unified Hub continuously senses, predicts, and re-orchestrates work across people, processes, and platforms to deliver assured outcomes. The centers of skill and scale combine deep expertise with AI to deliver assured outcomes. For more information, visit www.atain.com
 </p>
 <p>
  <br/>
 </p>
 <p>
  Atain is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements.
 </p>
 <p>
  <br/>
 </p>
 <p>
  It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
 </p>
</div>


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