ai application developer

United Arab Emirates University

Job Description
<br><br>
The Big Data Analytics Center (BIDAC) at the United Arab Emirates University (UAEU) is seeking a talented and motivated Software Developer to support the design, development, and deployment of advanced AI-driven platforms and data applications. This position offers an exceptional opportunity to work in an interdisciplinary environment at the intersection of Artificial Intelligence, Natural Language Processing (NLP), and software engineering. The successful candidate will collaborate with data scientists, researchers, and engineers to translate cutting-edge AI research including Large Language Model (LLM) innovations into scalable, secure, and user-friendly systems. The role is ideal for developers who are passionate about AI productization, system integration, and building digital solutions that advance the UAE’s AI and digital transformation vision. Key Responsibilities: • Design, develop, and maintain web and software applications for AI and data-driven projects at BIDAC. • Build and integrate APIs for AI/ML model deployment, data pipelines, and backend services. • Collaborate with AI researchers to implement LLM-based systems, chatbots, and process automation tools. • Develop front-end interfaces and dashboards using modern frameworks (e.g., React, or Dash). • Implement secure data access layers and ensure compliance with UAEU’s data governance policies. • Contribute to the design and deployment of MLOps and DevOps pipelines for production AI applications. • Write clean, maintainable, and well-documented code following best practices. • Work with cross-functional teams to deploy solutions on cloud and on-premise environments. • Support the development of AI-powered educational, research, and administrative tools. • Participate in technical documentation, testing, and version control using Git/GitHub.
<br><br>
Minimum Qualification
<br><br>
<ul>
<li>Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field. • Proven experience in Python, JavaScript, or TypeScript. • Experience with web frameworks (e.g., Flask, FastAPI, Django) and front-end libraries (React, Vue, or Angular). • Understanding of RESTful API design, JSON, and database integration (MySQL, PostgreSQL, or MongoDB). • Strong problem-solving and debugging skills with attention to performance and scalability.</li>
</ul>
Preferred Qualification
<br><br>
<ul>
<li>Master’s degree in Computer Science, AI, or Software Engineering. • Experience with LLM deployment, fine-tuning, or integration (e.g., LangChain, RAG systems). • Familiarity with MLOps frameworks (MLflow, DVC) and AI application deployment. • Prior experience developing AI dashboards, data visualization tools, or analytics platforms. • Contribution to open-source projects or experience in AI startup / research environments. • Knowledge of Arabic NLP or bilingual (English/Arabic) AI applications is a plus.</li>
</ul>
Expected Skills
<br><br>
<ul>
<li>Familiarity with AI/ML model integration and LLM APIs (OpenAI, Hugging Face, Anthropic, etc.). • Experience developing Gradio, or Flask-based AI interfaces. • Ability to work across backend, frontend, and data layers (full-stack orientation preferred). • Understanding of cloud services (AWS, Azure, or GCP) and container orchestration (Kubernetes). • Knowledge of data processing, API authentication, and secure data exchange protocols. • Strong communication, teamwork, and documentation skills. • A proactive and innovative mindset with a passion for applying software to solve real-world problems.</li>
</ul>
Close Date Kindly apply before the closing date.
<br><br>
31/12/2025

Software Engineer

United Arab Emirates University, Department of Family Medicine

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 The Big Data Analytics Center (BIDAC) at the United Arab Emirates University (UAEU) is seeking a talented and motivated Software Developer to support the design, development, and deployment of advanced AI-driven platforms and data applications. This position offers an exceptional opportunity to work in an interdisciplinary environment at the intersection of Artificial Intelligence, Natural Language Processing (NLP), and software engineering. The successful candidate will collaborate with data scientists, researchers, and engineers to translate cutting-edge AI research including Large Language Model (LLM) innovations into scalable, secure, and user-friendly systems. The role is ideal for developers who are passionate about AI productization, system integration, and building digital solutions that advance the UAE&rsquo;s AI and digital transformation vision. Key Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, and maintain web and software applications for AI and data-driven projects at BIDAC.
  </li>
  <li>
   Build and integrate APIs for AI/ML model deployment, data pipelines, and backend services.
  </li>
  <li>
   Collaborate with AI researchers to implement LLM-based systems, chatbots, and process automation tools.
  </li>
  <li>
   Develop front-end interfaces and dashboards using modern frameworks (e.g., React, or Dash).
  </li>
  <li>
   Implement secure data access layers and ensure compliance with UAEU&rsquo;s data governance policies.
  </li>
  <li>
   Contribute to the design and deployment of MLOps and DevOps pipelines for production AI applications.
  </li>
  <li>
   Write clean, maintainable, and well-documented code following best practices.
  </li>
  <li>
   Work with cross-functional teams to deploy solutions on cloud and on-premise environments.
  </li>
  <li>
   Support the development of AI-powered educational, research, and administrative tools.
  </li>
  <li>
   Participate in technical documentation, testing, and version control using Git/GitHub.
   <br/>
   <br/>
  </li>
 </ul>
 Minimum Qualification
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Systems, or related field.
  </li>
  <li>
   Proven experience in Python, JavaScript, or TypeScript.
  </li>
  <li>
   Experience with web frameworks (e.g., Flask, FastAPI, Django) and front-end libraries (React, Vue, or Angular).
  </li>
  <li>
   Understanding of RESTful API design, JSON, and database integration (MySQL, PostgreSQL, or MongoDB).
  </li>
  <li>
   Strong problem-solving and debugging skills with attention to performance and scalability.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualification
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s degree in Computer Science, AI, or Software Engineering.
  </li>
  <li>
   Experience with LLM deployment, fine-tuning, or integration (e.g., LangChain, RAG systems).
  </li>
  <li>
   Familiarity with MLOps frameworks (MLflow, DVC) and AI application deployment.
  </li>
  <li>
   Prior experience developing AI dashboards, data visualization tools, or analytics platforms.
  </li>
  <li>
   Contribution to open-source projects or experience in AI startup / research environments.
  </li>
  <li>
   Knowledge of Arabic NLP or bilingual (English/Arabic) AI applications is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 Expected Skills
 <br/>
 <br/>
 <ul>
  <li>
   Familiarity with AI/ML model integration and LLM APIs (OpenAI, Hugging Face, Anthropic, etc.).
  </li>
  <li>
   Experience developing Gradio, or Flask-based AI interfaces.
  </li>
  <li>
   Ability to work across backend, frontend, and data layers (full-stack orientation preferred).
  </li>
  <li>
   Understanding of cloud services (AWS, Azure, or GCP) and container orchestration (Kubernetes).
  </li>
  <li>
   Knowledge of data processing, API authentication, and secure data exchange protocols.
  </li>
  <li>
   Strong communication, teamwork, and documentation skills.
  </li>
  <li>
   A proactive and innovative mindset with a passion for applying software to solve real-world problems.
   <br/>
   <br/>
  </li>
 </ul>
 Close Date Kindly apply
 <strong>
  before
 </strong>
 the closing date.
 <br/>
 <br/>
 31/12/2025
 <br/>
 <br/>
 Apply
 <br/>
 <br/>
 Department
 <br/>
 <br/>
 Division
 <br/>
 <br/>
 Grade
 <br/>
 <br/>
 Posting Number
 <br/>
 <br/>
 Position Number
</div>


Scale AI

<div>
 Scale is growing rapidly, and joining the International Public Sector team is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale&rsquo;s work with governments and government-backed entities outside of the United States.
 <br/>
 <br/>
 We develop bespoke solutions that leverage our customers&rsquo; proprietary data and expertise to transform their organizations with AI. We work with them to understand their pain points and workflows and then forward deploy our team to build cutting-edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy frontier AI agents.
 <br/>
 <br/>
 <ul>
  <li>
   Developing custom AI applications
  </li>
  <li>
   Building custom LLMs
  </li>
  <li>
   Providing high-quality training data for research and government institutions building LLMs
  </li>
  <li>
   Developing partnerships to foster regional talent growth and AI adoption
   <br/>
   <br/>
  </li>
 </ul>
 We are looking for an entrepreneurial and experienced product leader to play a pivotal role in the ideation and development of transformative AI solutions. The ideal candidate has deep experience with AI/ML application development, can think strategically about how to solve a problem, is an excellent listener, is comfortable getting into the weeds operationally, and has a strong understanding of software engineering principles and practices. You will be responsible for owning large AI projects for one or many customers.
 <br/>
 <br/>
 You will lead a cross-functional team of engineers, MLEs, and operators to build a highly impactful solution for our customers that will drive millions in revenue for our business as well.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead design workshops with the client to define custom AI solutions
  </li>
  <li>
   Scope out new AI application use cases across various government entities
  </li>
  <li>
   Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market)
  </li>
  <li>
   Consistently engage with future end-users to solicit feedback and ensure we are prioritizing effectively
  </li>
  <li>
   Stay up to date with latest research in applied AI and training custom LLMs
  </li>
  <li>
   Scope out model evaluation sets and performance requirements, consistently review results, and iterate on the solution
  </li>
  <li>
   Give regular progress updates to the client and International Public Sector leadership
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products
  </li>
  <li>
   Strong technical background (STEM degree) and/or experience building technical software products
  </li>
  <li>
   Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings
  </li>
  <li>
   Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro)
  </li>
  <li>
   Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to haves:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Coding experience (Python)
  </li>
  <li>
   Proficiency in Arabic, both written and spoken
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   PLEASE NOTE:
  </em>
 </strong>
 <em>
  Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
  <br/>
  <br/>
 </em>
 <strong>
  About Us:
  <br/>
  <br/>
 </strong>
 <em>
  At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
  <br/>
  <br/>
 </em>
 <em>
  We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
  <br/>
  <br/>
 </em>
 <em>
  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 </em>
 <em>
  Know Your Rights poster
 </em>
 <em>
  for additional information.
  <br/>
  <br/>
 </em>
 <em>
  We comply with the United States Department of Labor's
 </em>
 <em>
  Pay Transparency provision
 </em>
 <em>
  .
  <br/>
  <br/>
 </em>
 <em>
  <strong>
   PLEASE NOTE:
  </strong>
  We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 </em>
</div>


Product Manager of AI Applications, International Public Sector

DataRobot

<div><div>Job Description:</div><div></div><div>
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business &mdash; today and in the future.</div><div></div><div>
As an AI Engineer on our Professional Services team, you will be at the forefront of the AI revolution, working directly with our most strategic customers. You'll be a trusted advisor and hands-on builder, translating complex business challenges into cutting-edge AI solutions that deliver tangible business value.</div><div></div><div>
This is a unique opportunity to design, build, and deploy a wide range of applications&mdash;from powerful predictive models to sophisticated Generative AI agents and chatbots. If you thrive on solving real-world problems and want to work with the latest in AI technology, this role is for you.</div><div></div><div>
This role is based in Dubai, United Arab Emirates.</div><div></div><div>
This is a fully remote position with no requirement to go into an office on a regular basis. There will be travel requirements associated with this position to visit clients onsite up to 25% - 50% of the time.</div><div></div><div><br>
Key Responsibilities:</div><ul><li><div>
Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions.</div></li><li><div>
Build &amp; Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. This includes:</div></li><li><div>
Agentic AI: Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index</div></li><li><div>
Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems.</div></li><li><div>
Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection.</div></li><li><div>
Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives.</div></li><li><div>
Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives.</div></li><li><div>
Communicate &amp; Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives.</div></li></ul><div></div><div><br>
Knowledge, Skills and Abilities:</div><div></div><div>
AI &amp; Machine Learning Expertise:</div><ul><li><div>
Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.).</div></li><li><div>
Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases,</div></li><li><div>
Solid understanding of the end-to-end agentic AI lifecycle from building agents in frameworks like LangGraph or CrewAI, to at scale deployment and monitoring.</div></li></ul><div></div><div>
Application Development &amp; Operations:</div><ul><li><div>
Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic.</div></li><li><div>
Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s).</div></li><li><div>
Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints.</div></li><li><div>
Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences.</div></li><li><div>
Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems.</div></li></ul><div></div><div><br>
Requisite Education and Experience / Minimum Qualifications:</div><ul><li><div>
Experience: Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production.</div></li><li><div>
Education: A Master&rsquo;s Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.</div></li><li><div>
Cloud Experience: Hands-on experience with a major cloud platform (AWS, Azure, or GCP).</div></li><li><div>
DataRobot Experience: Familiarity with the DataRobot AI Platform is a strong plus.</div></li><li><div>
MLOps Knowledge: Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.</div></li><li><div>
Fluency in English and Arabic</div></li><li><div>
Willingness to travel onsite with clients up to 40% of the time</div></li></ul><div></div><div><br>
The talent and dedication of our employees are at the core of DataRobot&rsquo;s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees&rsquo; well-being at the core. Here&rsquo;s what your benefits package may include depending on your location and local legal requirements: Medical, Dental &amp; Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!</div><div></div><div>
DataRobot Operating Principles:</div><ul><li>
Wow Our Customers</li><li>
Set High Standards</li><li>
Be Better Than Yesterday</li><li>
Be Rigorous</li><li>
Assume Positive Intent</li><li>
Have the Tough Conversations</li><li>
Be Better Together</li><li>
Debate, Decide, Commit</li><li>
Deliver Results</li><li>
Overcommunicate</li></ul><div><br>
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We&rsquo;d love to have a conversation with you and see if you might be a great fit.</div><div></div><div>
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor&rsquo;s EEO poster and EEO poster supplement for additional information.</div><div></div><div>
All applicant data submitted is handled in accordance with our <div>Applicant Privacy Policy</div>.</div></div>

Senior AI Engineer - Professional Services - UAE

<div>
 Scale&rsquo;s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 <br/>
 <br/>
 <ul>
  <li>
   Creating custom AI applications that will impact millions of citizens
  </li>
  <li>
   Generating high-quality training data for national LLMs
  </li>
  <li>
   Upskilling and advisory services to spread the impact of AI
   <br/>
   <br/>
  </li>
 </ul>
 As a Software Engineer (Product), you&rsquo;ll work to turn prototypes into scalable, generalized AI applications that can serve public sector clients across the world and build the tooling that will enable our operations teams to efficiently create high-quality data for AI models.
 <br/>
 <br/>
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 <br/>
 <br/>
 <strong>
  You will:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and maintain full stack web applications using modern frameworks and technologies
  </li>
  <li>
   Leverage database systems to manage and query data efficiently
  </li>
  <li>
   Deploy and manage infrastructure on cloud service environments for scalability and reliability
  </li>
  <li>
   Contribute to horizontal platform features which will be used across different client use cases
  </li>
  <li>
   Work cross-functionally with design, product, and data teams to create robust applications
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideally you&rsquo;d have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
  </li>
  <li>
   5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), Python, Node, Next.js, TypeScript/JavaScript, MongoDB, or similar
  </li>
  <li>
   Solid background in algorithms, data structures, databases and object-oriented programming
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to haves:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Previous experience working at a startup or in a forward-deployed role
  </li>
  <li>
   Experience deploying infrastructure on cloud service providers
  </li>
  <li>
   Experience building user interfaces and applications that leverage AI models
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   PLEASE NOTE:
  </em>
 </strong>
 <em>
  Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
  <br/>
  <br/>
 </em>
 <strong>
  About Us:
  <br/>
  <br/>
 </strong>
 <em>
  At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
  <br/>
  <br/>
 </em>
 <em>
  We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
  <br/>
  <br/>
 </em>
 <em>
  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 </em>
 <em>
  Know Your Rights poster
 </em>
 <em>
  for additional information.
  <br/>
  <br/>
 </em>
 <em>
  We comply with the United States Department of Labor's
 </em>
 <em>
  Pay Transparency provision
 </em>
 <em>
  .
  <br/>
  <br/>
 </em>
 <em>
  <strong>
   PLEASE NOTE:
  </strong>
  We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 </em>
</div>


Software Engineer (Product), International Public Sector

digital.enterprises

<div>
 <p>
  <strong>
   BUILD THE REAL-TIME INTELLIGENCE OF ADAPT
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About digital.enterprises
  </strong>
 </p>
 <p>
  digital.enterprises is shaping the future of the energy sector. We help companies run smarter integrating people, data, and technology to create intelligent, adaptive, and human-centred operations. Based in Doha, the LNG and GTL capital of the world, we fuse deep industry expertise with cutting-edge digital thinking to transform how energy companies work, connect, and grow. If you are driven by impact, speed, and purpose not titles or bureaucracy you will fit right in.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About ADAPT
  </strong>
 </p>
 <p>
  ADAPT is our flagship platform a real-time digital mesh connecting the energy sectors Maintenance, Repair &amp; Operations (MRO) ecosystem. Instead of long procurement cycles, ADAPT matches buyer demand with supplier capability instantly, using live data and AI to surface qualified options with governance, auditability, and human-in-the-loop controls.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  We are seeking an experienced AI Engineer to architect and implement the intelligent layer powering ADAPT. You will build production-grade LLM applications that disintermediate RFQs through real-time matching, provide real-time decision support, and deliver actionable insights to both buyers and suppliers. This role requires deep technical expertise in modern AI frameworks, enterprise-grade system design, and the ability to translate complex business requirements into reliable AI solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   - AI Application Development
  </em>
 </p>
 <ul>
  <li>
   Design and deploy production LLM applications (LangChain/LangGraph) for supplier matching, requirement extraction, and automated workflow orchestration.
  </li>
  <li>
   Implement sophisticated tool/function calling to integrate LLMs with external systems (inventory databases, ERPs, communications platforms).
  </li>
  <li>
   Build robust context and memory systems for multi-turn conversations and long-running industrial processes.
  </li>
  <li>
   Develop intelligent agents for supplier evaluation, alternative proposals, and emergency response scenarios.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   - System Architecture &amp; Optimisation
  </em>
 </p>
 <ul>
  <li>
   Write clean, maintainable code following established patterns and best practice.
  </li>
  <li>
   Optimise inference pipelines for latency, cost, and accuracy in high-stakes environments.
  </li>
  <li>
   Design scalable architectures for concurrent users across maintenance, procurement, and supplier teams.
  </li>
  <li>
   Implement caching, batching, and performance optimisations for enterprise-scale deployments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   - AI Quality &amp; Reliability
  </em>
 </p>
 <ul>
  <li>
   Develop comprehensive evaluation frameworks (AI evals) to measure accuracy, relevance, and business impact.
  </li>
  <li>
   Design and execute fine-tuning strategies for domain-specific models (MRO terminology, supplier capability, part specifications).
  </li>
  <li>
   Explore and implement RL-based agents for dynamic supplier analysis where beneficial.
  </li>
  <li>
   Create sophisticated prompt engineering solutions that balance specificity and flexibility.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   - Security &amp; Compliance
  </em>
 </p>
 <ul>
  <li>
   Implement security best practice for sensitive procurement data, supplier information, and commercial terms.
  </li>
  <li>
   Ensure compliance with data protection regulations and industry standards (ISO, API standards, etc.).
  </li>
  <li>
   Design audit trails and logging for AI-assisted decisions in regulated environments.
  </li>
  <li>
   Build safeguards against prompt injection, data leakage, and other AI-specific vulnerabilities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   - Domain Integration
  </em>
 </p>
 <ul>
  <li>
   Collaborate with domain experts to understand oil &amp; gas MRO workflows, terminology, and critical requirements.
  </li>
  <li>
   Travel to client sites, supplier locations, and operational facilities to understand real-world constraints.
  </li>
  <li>
   Translate operational requirements into technical specifications and AI capabilities.
  </li>
  <li>
   Provide technical guidance during customer implementations and onboarding.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   - Experience &amp; Background
  </em>
 </p>
 <ul>
  <li>
   5+ years of professional software engineering experience in enterprise environments.
  </li>
  <li>
   Hands-on experience delivering working AI applications in production or advanced pilot environments.
  </li>
  <li>
   Experience working in regulated or sensitive-data settings.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Expertise
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   - LLM Frameworks &amp; Foundation Models
  </em>
 </p>
 <ul>
  <li>
   Deep expertise building complex agent workflows.
  </li>
  <li>
   Hands-on with major LLMs (OpenAI, Anthropic, open-source) including API integration and optimisation.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   - Advanced AI Patterns
  </em>
 </p>
 <ul>
  <li>
   Function/tool calling and external system integration.
  </li>
  <li>
   Context-window management and retrieval strategies.
  </li>
  <li>
   Memory systems for stateful conversations and long-running processes.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   - AI Engineering
  </em>
 </p>
 <ul>
  <li>
   Building evaluation frameworks and metrics for LLM applications.
  </li>
  <li>
   Fine-tuning for domain-specific use cases.
  </li>
  <li>
   Experimenting with RL-based agents where impactful.
  </li>
  <li>
   Advanced prompt engineering and optimisation.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   - Software Engineering
  </em>
 </p>
 <ul>
  <li>
   Clean-code principles and&nbsp;SOLID&nbsp;design patterns.
  </li>
  <li>
   Performance optimisation and scalability.
  </li>
  <li>
   Version control (Git) and&nbsp;CI/CD&nbsp;pipelines.
  </li>
  <li>
   Testing strategies for AI systems (unit, integration, end-to-end).
  </li>
  <li>
   Security best practice, data protection, and compliance awareness.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   - Soft Skills
  </em>
 </p>
 <ul>
  <li>
   Communication: explain complex AI concepts to non-technical stakeholders; write clear documentation; collaborate across teams.
  </li>
  <li>
   Travel: willingness and ability to travel to operational sites, client facilities, and partner locations.
  </li>
  <li>
   Problem-solving: strong analytical thinking; break down complex business problems into implementable AI solutions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   - Preferred
  </em>
 </p>
 <ul>
  <li>
   Domain knowledge in oil &amp; gas operations, supply chain, or industrial procurement.
  </li>
  <li>
   Experience with MRO/EAM/supply chain software.
  </li>
  <li>
   Familiarity with industry-specific standards and terminology.
  </li>
  <li>
   Background in traditional ML/data science beyond LLMs.
  </li>
  <li>
   Experience with vector databases, semantic search, and RAG architectures.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why join us?
  </strong>
 </p>
 <p>
  At digital.enterprises, AI is a partner to people, not a replacement. This is Industry 5.0 in practice: technology amplifying human capability so energy operations become safer, more reliable, and more efficient delivering secure, affordable, cleaner energy at scale. You will join a mission-driven team led by credible industry leadership with the freedom to build technology that genuinely changes how an industry works.
 </p>
</div>


Artificial Intelligence Engineer

EPAM Systems

<div><p>We are seeking a <b>Senior AI Engineer</b> to design and develop comprehensive AI applications, including chatbots, Q&amp;A systems, and agent workflows.</p><p>
This role involves staying updated with the latest LLM technologies and contributing to innovative AI projects. Join our team to advance your expertise in AI engineering and deliver impactful solutions that meet client needs.</p><p><b>
Responsibilities</b></p><ul><li>
Design, implement, and maintain end-to-end AI applications, including chatbots, Q&amp;A platforms, and agent workflows</li><li>
Collaborate directly with clients to understand their needs, identify opportunities, and recommend LLM-driven solutions</li><li>
Develop and manage robust data pipelines, prompt strategies, and datasets to ensure effective and accurate AI models (Will be a plus)</li><li>
Evaluate and refine AI system performance, ensuring outputs are accurate, secure, scalable, and compliant with industry regulations (Will be a plus)</li><li>
Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value of AI solutions</li><li>
Stay current with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes</li></ul><p><b>
Requirements</b></p><ul><li>
Strong proficiency in Python, experience with web frameworks like FastAPI or similar</li><li>
Understanding of the AI application development lifecycle</li><li>
Experience with rapid UI prototyping using Streamlit, Gradio, or similar frameworks</li><li>
Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (LangGraph, LlamaIndex, Strands Agents, etc.)</li><li>
Knowledge of advanced AI integration patterns (e.g., RAG, Agents)</li><li>
Experience deploying AI solutions at scale, with considerations for performance, cost-efficiency, and maintainability</li><li>
Proven ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods</li><li>
Proven experience in AI engineering and delivering ML-based solutions</li><li>
Strong problem-solving skills and attention to detail</li><li>
Excellent communication, collaboration, and interpersonal skills</li></ul><p><b>
Nice to have</b></p><ul><li>
Experience designing experiments, conducting A/B tests, and iterating on models based on user feedback</li><li>
Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms</li><li>
Familiarity with emerging protocols such as MCP, A2A, ACP, etc.</li><li>
Experience deploying to cloud AI platforms (Azure OpenAI, Amazon Bedrock, GCP Vertex AI) or on-premise solutions (e.g., vLLM)</li><li>
Experience with enterprise AI platforms such as AWS AgentCore or Databricks AgentBricks or Google Agents Space, or Azure AI Foundry</li><li>
Experience with observability and monitoring tools and frameworks</li></ul><p><b>
Technologies</b></p><ul><li>
Python, PyTorch, Hugging Face, LangChain</li><li>
Vector databases including Qdrant, FAISS, Chroma</li><li>
APIs for LLMs such as Azure OpenAI and AWS Bedrock</li></ul><p><b>
We offer</b></p><ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul><p><i>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</i></p></div>

Senior AI Engineer

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