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Tavily

<div><h2 class="jobSectionHeader"><b>About Tavily</b></h2><p>
Tavily is building the infrastructure layer for agentic web interaction at scale. Our API powers Retrieval Augmented Generation (RAG) and real-time reasoning in AI systems.</p><p>
By connecting large language models to high-quality, trustworthy web content, we help developers build agents that are not only intelligent but also informed.</p><p>
We work with some of the most innovative teams in AI. From startups shaping the ecosystem to enterprises deploying AI at scale. Whether it&rsquo;s powering sales assistants, research copilots, or internal knowledge tools, Tavily is the missing link between LLMs and the real world.</p><p></p><h2 class="jobSectionHeader"><b>
The Role</b></h2><p>
We&rsquo;re looking for a Software Engineer to join our core engineering team and help build the infrastructure that powers real-time AI agents. You&rsquo;ll work across the stack, ship fast, and take ownership of critical systems as we scale.</p><p>
This is an ideal role for a technically strong generalist with hands-on experience in building AI agents or complex distributed systems, someone who thrives in low-process environments, understands deep tech, and loves turning ambitious ideas into production-grade systems.</p><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><ul><li>Build fast, reliable, and scalable systems for real-time LLM workflows</li><li>Design and implement backend infrastructure and API endpoints</li><li>Collaborate closely with product to iterate on features quickly and thoughtfully</li><li>Improve performance, monitoring, and reliability across the stack</li><li>Own core systems and contribute to key architectural decisions</li><li>Help shape a strong engineering culture focused on velocity and quality</li></ul><p></p><h2 class="jobSectionHeader"><b>
What You Bring</b></h2><ul><li>2&ndash;5 years of professional software engineering experience</li><li>Strong backend development skills (Python preferred, but not required)</li><li>Experience with large-scale distributed systems and API design</li><li>Hands-on expertise with AWS and cloud-native services</li><li>Comfort working in a fast-paced startup environment with lots of ownership</li><li>Curiosity about LLMs, retrieval, and the future of AI systems</li><li>Based in Abu Dhabi or open to relocating</li></ul><h2 class="jobSectionHeader"><b>
Nice To Have</b></h2><ul><li>Background in frontend or full stack development</li><li>Familiarity with DevOps practices (CI/CD, infrastructure as code, Kubernetes)</li><li>Experience building RAG workflows, agentic architectures, or LLM-integrated applications</li></ul><h2 class="jobSectionHeader"><b>
Perks &amp; Benefits</b></h2><ul><li>A young, open, and inclusive culture where everyone has real impact from day one</li><li>The chance to build alongside a fast-moving team at the forefront of agentic AI</li><li>A deep-work culture that values curiosity, creativity, and learning</li><li>Full relocation package for the whole family including accommodation, insurance, flights, children education and more...</li></ul></div><p></p>

Software Engineer

CMETS Energy Solutions LLC

<p><b>Job Summary</b></p><p>We are seeking a highly motivated <b>Software Engineer</b> to join our <b>Instrumentation &amp; Automation Systems (IAS) Division</b>. The ideal candidate will design and implement AI-driven and automation solutions that enhance industrial efficiency, predictive maintenance, and digital transformation across energy projects.<br/>In addition, the role will support <b>IT &amp; Admin functions</b>, ensuring smooth operation, security, and optimization of company systems, networks, and digital infrastructure.</p><p><b>Key Responsibilities</b></p><p><b>AI &amp; Automation:</b></p><ul><li>Lead the full lifecycle of automation projects (RPA, intelligent automation) &mdash; from discovery and design through implementation and optimization.</li><li>Design and implement AI/ML models for system monitoring, predictive analysis, system simulations, incident response, and resource allocation.</li><li>Integrate AI solutions with cloud platforms (AWS, Azure) and on-premises systems for seamless operation.</li><li>Develop and maintain APIs to enable AI model integration with enterprise applications and databases.</li><li>Ensure all AI and automation data pipelines adhere to strict security, data governance, and compliance standards.</li><li>Perform system administration and maintenance of deployed AI solutions and automation platforms.</li><li>Collaborate closely with the IAS team to align AI solutions with project and client requirements.</li></ul><p><b>IT &amp; Admin Support:</b></p><ul><li>Manage installation, configuration, and maintenance of company servers, routers, and networking equipment.</li><li>Provide IT support for hardware, software, and user-related issues across departments.</li><li>Ensure data security, system backups, and user access management are maintained.</li><li>Oversee license renewals, antivirus updates, and IT asset tracking.</li><li>Coordinate with vendors for procurement, repair, or upgrade of IT infrastructure.</li><li>Support the Admin team in managing digital tools, office systems, and communication platforms.</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Information Technology, Data Science, or a related field.</li><li>3&ndash;6 years of relevant experience in AI/ML model development, IT systems, and automation projects.</li><li>Hands-on experience with <b>Python, TensorFlow, PyTorch, OpenCV</b>, or <b>scikit-learn</b>.</li><li>Familiarity with <b>RPA tools</b> (UiPath, Power Automate, Blue Prism) and <b>API integration</b>.</li><li>Good understanding of <b>networking, system security, and cloud infrastructure</b> (AWS, Azure, GCP).</li><li>Experience with <b>containerization</b> (Docker/Kubernetes) preferred.</li><li>Strong analytical and troubleshooting skills with the ability to work across technical and administrative functions.</li></ul><p><b>Benefits</b></p><ul><li>Competitive salary package.</li><li>Health insurance and leave benefits as per UAE labor law.</li><li>Opportunity to work on cutting-edge AI and industrial automation projects.</li><li>Exposure to IT systems management and cross-functional collaboration.</li><li>Continuous learning and career growth within the CMETS Group.</li></ul><p>Job Types: Full-time, Permanent</p>

<div>
 <strong>
  About Tavily
  <br/>
  <br/>
 </strong>
 Tavily is building the infrastructure layer for agentic web interaction at scale. Our API powers Retrieval Augmented Generation (RAG) and real-time reasoning in AI systems.
 <br/>
 <br/>
 By connecting large language models to high-quality, trustworthy web content, we help developers build agents that are not only intelligent but also informed.
 <br/>
 <br/>
 We work with some of the most innovative teams in AI. From startups shaping the ecosystem to enterprises deploying AI at scale. Whether it&rsquo;s powering sales assistants, research copilots, or internal knowledge tools, Tavily is the missing link between LLMs and the real world.
 <br/>
 <br/>
 The Role
 <br/>
 <br/>
 We&rsquo;re looking for a Software Engineer to join our core engineering team and help build the infrastructure that powers real-time AI agents. You&rsquo;ll work across the stack, ship fast, and take ownership of critical systems as we scale.
 <br/>
 <br/>
 This is an ideal role for a technically strong generalist with hands-on experience in building AI agents or complex distributed systems, someone who thrives in low-process environments, understands deep tech, and loves turning ambitious ideas into production-grade systems.
 <br/>
 <br/>
 What You'll Do
 <br/>
 <br/>
 <ul>
  <li>
   Build fast, reliable, and scalable systems for real-time LLM workflows
  </li>
  <li>
   Design and implement backend infrastructure and API endpoints
  </li>
  <li>
   Collaborate closely with product to iterate on features quickly and thoughtfully
  </li>
  <li>
   Improve performance, monitoring, and reliability across the stack
  </li>
  <li>
   Own core systems and contribute to key architectural decisions
  </li>
  <li>
   Help shape a strong engineering culture focused on velocity and quality
   <br/>
   <br/>
  </li>
 </ul>
 What You Bring
 <br/>
 <br/>
 <ul>
  <li>
   2&ndash;5 years of professional software engineering experience
  </li>
  <li>
   Strong backend development skills (Python preferred, but not required)
  </li>
  <li>
   Experience with large-scale distributed systems and API design
  </li>
  <li>
   Hands-on expertise with AWS and cloud-native services
  </li>
  <li>
   Comfort working in a fast-paced startup environment with lots of ownership
  </li>
  <li>
   Curiosity about LLMs, retrieval, and the future of AI systems
  </li>
  <li>
   Based in Abu Dhabi or open to relocating
   <br/>
   <br/>
  </li>
 </ul>
 Nice To Have
 <br/>
 <br/>
 <ul>
  <li>
   Background in frontend or full stack development
  </li>
  <li>
   Familiarity with DevOps practices (CI/CD, infrastructure as code, Kubernetes)
  </li>
  <li>
   Experience building RAG workflows, agentic architectures, or LLM-integrated applications
   <br/>
   <br/>
  </li>
 </ul>
 Perks &amp; Benefits
 <br/>
 <br/>
 <ul>
  <li>
   A young, open, and inclusive culture where everyone has real impact from day one
  </li>
  <li>
   The chance to build alongside a fast-moving team at the forefront of agentic AI
  </li>
  <li>
   A deep-work culture that values curiosity, creativity, and learning
  </li>
  <li>
   Full relocation package for the whole family including accommodation, insurance, flights, children education and more...
  </li>
 </ul>
</div>


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>


CallSign

<div><p>Russian hacker, Vladimir Leonidovitch Levin, attempted the biggest bank heist the world had ever seen via dial-up internet in 1994, Zia Hayat, Callsign CEO and founder, was hooked - armchair fraud became a real possibility. From this moment, Zia knew he wanted to play a part in stopping the bad guys and securing the internet for all. Founded In 2012, Callsign's mission has been to make Digital Identity simple and secure for everyone and everything. In that time, we've grown to over 200 employees, opened offices in Singapore and Abu Dhabi, been recognised as a WEF Global Innovator and our technology is being used by many of the world's leading financial institutions to keep millions of consumers safe.
</p><p>But we aren't stopping here. The identity revolution has only just begun, and we are looking to hire the brightest and inquisitive minds to help us make every web, mobile and physical Interaction seamless and secure. If this sounds like you, lets chat.</p><p></p><p><b>
Responsibilities</b>
</p><ul><li>Develop and maintain high-quality Java applications.</li>
<li>Design and implement RESTful APIs.</li>
<li>Work with relational databases such as MySQL, Oracle, and PostgreSQL, and ideally have experience with NoSQL databases.</li>
<li>Apply strong knowledge of object-oriented design and development best practices.</li>
<li>Estimate, prioritize, and execute tasks either by pair programming or independently.</li>
<li>Collaborate with Agile teams or startups to deliver high-quality software solutions.</li>
<li>Ensure code quality through Test Driven Development (TDD).</li>
</ul><p></p><p><b>Requirements</b></p><ul>
<li>3+ years of commercial experience in Java.</li>
<li>Experience with relational databases (MySQL, Oracle, PostgreSQL) and ideally NoSQL databases.</li>
<li>Proven experience in developing and designing RESTful APIs.</li>
<li>Ability to choose the right technology for the task at hand.</li>
<li>Strong knowledge of object-oriented design and development best practices.</li>
<li>Ability to estimate, prioritize, and execute tasks in a high-pressure environment.</li>
<li>Excellent command of the English language.</li>
<li>BSc or MSc in Computer Science or a related degree from a top university.</li>
<li>Knowledge of Spring Frameworks, including Spring Security, Spring Boot, and Spring Data.</li>
<li>Proficiency in Test Driven Development (TDD).</li>
<li>Experience working with Agile teams or startups.</li>
</ul><p></p><p><b>Good to Have:</b></p><ul>
<li>Experience with Continuous Integration.</li>
<li>Experience with performant, highly transactional, service-oriented platforms.</li>
<li>Working knowledge of Docker, UNIX-based operating systems, and Microservices.</li>
<li>Familiarity with application security, cryptography, and security practices.</li>
<li>Working knowledge of Docker, Kubernetes, AWS, UNIX-based operating systems, and Microservices.</li>
<li>Experience with Kafka and other queue-based messaging systems</li>
</ul><p></p><p><b>Benefits</b></p><ul>
<li>Private Premium Health Insurance</li>
<li>Visa costs including 1 month paid hotel stay on arrival</li>
<li>Annual Airfare Allowance for the home country</li>
<li>3 months full pay maternity leaves &amp; 2 weeks full pay paternity leaves</li>
<li>25 days of annual leave + Callsign Bank Holiday (not included in holiday allowance)</li>
<li>Competitive Salary</li>
<li>Gratuity as EOSB</li></ul></div><p></p>

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking an expert with deep proficiency as a Platform Engineer, possessing experience in data engineering. This individual should have a comprehensive understanding of both data platforms and software engineering, enabling them to integrate the platform effectively within an IT ecosystem.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Manage and optimize data platforms (Databricks, Palantir).
</p></div><div><p>Ensure high availability, security, and performance of data systems.
</p></div><div><p>Provide valuable insights about data platform usage.
</p></div><div><p>Optimize computing and storage for large-scale data processing.
</p></div><div><p>Design and maintain system libraries (Python) used in ETL pipelines and platform governance.
</p></div><div><p>Optimize ETL Processes
</p></div><div><p>Enhance and tune existing ETL processes for better performance, scalability, and reliability.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Minimum 10 Years of experience in IT/Data.
</p></div><div><p>Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
</p></div><div><p>Bachelor's in IT or related field.
</p></div><div><p>Infrastructure &amp; Cloud: Azure, AWS (expertise in storage, networking, compute).
</p></div><div><p>Data Platform Tools: Any of Palantir, Databricks, Snowflake.
</p></div><div><p>Programming: Proficiency in PySpark for distributed computing and Python for ETL development.
</p></div><div><p>SQL: Expertise in writing and optimizing SQL queries, preferably with experience in databases such as PostgreSQL, MySQL, Oracle, or Snowflake.
</p></div><div><p>Data Warehousing: Experience working with data warehousing concepts and platforms, ideally Databricks.
</p></div><div><p>ETL Tools: Familiarity with ETL tools &amp; processes
</p></div><div><p>Data Modelling: Experience with dimensional modelling, normalization/denormalization, and schema design.
</p></div><div><p>Version Control: Proficiency with version control tools like Git to manage codebases and collaborate on development.
</p></div><div><p>Data Pipeline Monitoring: Familiarity with monitoring tools (e.g., Prometheus, Grafana, or custom monitoring scripts) to track pipeline performance.
</p></div><div><p>Data Quality Tools: Experience implementing data validation, cleaning, and quality frameworks, ideally Monte Carlo.
</p></div></div><p>Nice to have
</p><div><div><p>Containerization &amp; Orchestration: Docker, Kubernetes.
</p></div><div><p>Infrastructure as Code (IaC): Terraform.
</p></div><div><p>Understanding of Investment Data domain (desired).
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: B2 Upper Intermediate
</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-118657
</p></div><div></div><div><div><p>DWH Development
</p></div><div><p>BCM Industry</p>
</div><div><p>29/10/2025
</p></div><div><p>Req. VR-118657</p></div></div></div><p></p>

Lead Data Platform Engineer/Architect

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