software engineer

backend engineer

full stack engineer

full stack developer

full-stack - team lead

senior full stack engineer

Open Innovation AI

<div>
 
 
 Company Description:
 
 
 
 
 
 
 Open Innovation AI is a global technology company that specializes in developing advanced solutions for managing AI workloads. Its flagship product, the Open Innovation Cluster Manager (OICM), orchestrates complex AI tasks efficiently across diverse infrastructures. The platform is hardware-agnostic, optimized for various GPUs and accelerators hardware, and facilitates seamless integration and scalability for enterprise AI applications. Open Innovation AI focuses on optimizing and simplifying AI workload management and making AI technologies accessible to organizations of all sizes. With its innovative solutions, companies can reduce operational costs, accelerate time to value, and maximize their return on investment, ensuring that their AI strategies contribute directly to enhanced business outcomes.
 
 
 
 
 
 
 Role Overview:
 
 
 
 
 
 
 As a Senior Full Stack Engineer at Open Innovation, you will play a critical role in shaping both the frontend and backend of our platforms and web applications. Working closely with our product team, you'll develop visually compelling, highly functional, and accessible user interfaces while also architecting robust, scalable backend services. Your expertise in data visualization, large datasets, and backend integration will be key to creating powerful, insightful, and seamless experiences for our users
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 
 Develop and maintain responsive web applications using React, TypeScript, and Vite.js on the frontend, and Node.js with TypeScript on the backend
 
 </li>
 <li>
 Design and implement data processing pipelines and RESTful API to handle and render large datasets effectively
 </li>
 <li>
 Implement backend solutions for streaming interfaces for Large Language Models (LLMs), supporting real-time data visualization and interactions
 </li>
 <li>
 Collaborate with UX/UI designers, product owners, and frontend engineers to prototype and refine user interfaces, ensuring seamless integration with backend systems
 </li>
 <li>
 Design and implement scalable, maintainable architectures for both frontend and backend systems
 </li>
 <li>
 Work closely with infrastructure teams to ensure efficient deployment and scaling of applications, including database optimization and API performance tuning
 </li>
 <li>
 Develop and maintain CI/CD pipelines for automated building, testing, and deployment of full stack applications
 </li>
 <li>
 Implement comprehensive testing strategies, including unit, integration, and end-to-end (E2E) testing, using tools like Playwright and Jest
 </li>
 <li>
 Optimize application performance, load times, and backend processing speed, especially for applications managing large datasets
 </li>
 <li>
 Stay updated with the latest full stack development technologies and best practices, suggesting improvements to our tech stack and development workflows
 </li>
 <li>
 Write clear, concise documentation for code, processes, and architecture decisions across the stack
 </li>
 <li>
 Participate in code reviews and provide constructive feedback to team members on both frontend and backend codebases
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor's or higher degree in Computer Science, Software Engineering, or a related field
 </li>
 <li>
 Minimum of 5 years of professional experience as fullstack engineer
 </li>
 <li>
 Strong proficiency in HTML, CSS, and JavaScript, including advanced concepts such as responsive design, cross-browser compatibility, accessibility, asynchronous programming, and closures
 </li>
 <li>
 Expertise in React, TypeScript, and NodeJS
 </li>
 <li>
 Solid understanding of frontend/backend architecture principles and best practices
 </li>
 <li>
 Proficiency in data visualization libraries (e.g., ECharts, Recharts, or similar)
 </li>
 <li>
 Knowledge of streaming data techniques
 </li>
 <li>
 Expertise of RESTful APIs
 </li>
 <li>
 Experience with Git version control system
 </li>
 <li>
 Excellent communication skills and ability to work effectively in a collaborative team environment
 </li>
 </ul>
 
 
</div>

Senior Full Stack Engineer

Tavily

<div>
 
 About Tavily
 
 
 
 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.
 
 
 By connecting large language models to high-quality, trustworthy web content, we help developers build agents that are not only intelligent but also informed.
 
 
 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.
 
 
 The Role
 
 
 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.
 
 
 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.
 
 
 What You'll Do
 
 
 <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>
 What You Bring
 
 
 <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>
 Nice To Have
 
 
 <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>
 Perks &amp; Benefits
 
 
 <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>

Software Engineer

<div><h2 class="jobSectionHeader">About Tavily</h2>
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.
By connecting large language models to high-quality, trustworthy web content, we help developers build agents that are not only intelligent but also informed.
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.<h2 class="jobSectionHeader">
The Role</h2>
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.
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.<h2 class="jobSectionHeader">
What You'll Do</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><h2 class="jobSectionHeader">
What You Bring</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">
Nice To Have</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">
Perks &amp; Benefits</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>

Mind Stream

Job DescriptionJob Title: GKE-Anthos Infrastructure EngineerLocation: Doha, QatarPrimary Skills:&middot; Google Kubernetes Engine (GKE) &ndash; On-Prem and Cloud&middot; Anthos &ndash; Hybrid and Multi-Cloud Deployment&middot; Apigee Hybrid &ndash; API ManagementSecondary Skills:&middot; ELK Stack (Elasticsearch, Logstash, Kibana)&middot; CI/CD Tools &ndash; Jenkins, GitHub Actions&middot; Artifact &amp; Code Quality Tools &ndash; Nexus, SonarQube&middot; GitHub &ndash; Source Control and CollaborationKey Responsibilities:1. Manage and execute upgrades of GKE On-Prem and GKE on Cloud clusters.2. Architect and deploy Anthos across on-premises, Google Cloud, and other public cloud environments.3. Design and manage GKE clusters and workloads across hybrid environments.4. Configure and maintain Anthos Service Mesh, Config Management, and Migrate.5. Ensure security, compliance, and governance across Anthos-managed environments.6. Automate infrastructure provisioning and cluster operations using CI/CD pipelines.7. Troubleshoot and resolve issues related to Anthos, GKE, and integrated components.8. Optimize performance and reliability of hybrid cloud infrastructure.9. Collaborate with DevOps and application teams to modernize legacy applications using containers and microservices.10. Maintain detailed documentation for upgrades, configurations, and operational procedures.11. Conduct workshops and training sessions for internal teams and clients.12. Provide technical leadership and guidance on Anthos best practices.Expectations:&middot; 3-5 years of experience in cloud infrastructure and Kubernetes.&middot; Hands-on experience in upgrading and maintaining Anthos and GKE (Cloud &amp; On-Prem).&middot; Strong troubleshooting skills across hybrid environments.&middot; Ability to work independently and collaboratively in cross-functional teams.&middot; Experience integrating Nexus, SonarQube, Jenkins, and GitHub into CI/CD workflows.Certifications (Preferred):&middot; Google Cloud Certified &ndash; Professional Cloud Architect or Kubernetes Engineer&middot; Certified Kubernetes Administrator (CKA)&middot; Anthos or Apigee-related certifications (if available)Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have working with Google Kubernetes Engine (GKE) (On-Prem and/or Cloud)?</li><li>Do you have hands-on experience deploying and maintaining Anthos in hybrid or multi-cloud environments?</li><li>Have you worked with Apigee Hybrid for API management?</li><li>Do you currently hold any of the following certifications? (Please mention)</li></ul>Google Cloud Certified &ndash; Professional Cloud ArchitectGoogle Cloud Certified &ndash; Kubernetes EngineerCertified Kubernetes Administrator (CKA)Anthos/Apigee certification<ul><li>what is current and expected salary? Notice period?</li></ul>

GKE-Anthos Infrastructure Engineer / DevOps

NorthBay Solutions

<div>Job Title: Technology Lead/Architect &ndash; AI/ML &amp; GenAI 
Experience: 12+ Years 
Location: Abu Dhabi, UAE 
Employment Type: Full-time<h3 class="jobSectionHeader"> 
About the Role</h3>
NorthBay Solutions is seeking an accomplished GenAI Technology Lead/Architect with a strong track record in Generative AI (GenAI), AI/ML, and enterprise architecture. This role is ideal for a senior professional who can design and deliver AI-powered enterprise solutions, lead multidisciplinary teams, and drive innovation across cloud, on-premises, and hybrid environments.
You will be the technical authority for GenAI-driven initiatives, ensuring successful delivery of scalable and production-ready AI/ML applications while aligning with enterprise business needs.<h3 class="jobSectionHeader"> 
Core Responsibilities</h3><ul><li>
Architect and deliver end-to-end AI/ML and GenAI solutions integrating with existing enterprise systems.</li><li>
Lead a team of 8&ndash;12 engineers across AI/ML, full-stack, and DevOps disciplines in Agile environments.</li><li>
Drive technical decision-making across infrastructure, APIs, microservices, databases, and AI platforms.</li><li>
Ensure successful deployment and scaling of AI solutions across on-premises, cloud, and hybrid architectures.</li><li>
Act as a trusted advisor to business stakeholders, bridging technical depth with strategic vision.</li></ul><h3 class="jobSectionHeader"> 
Technical Expertise Required</h3><h4 class="jobSectionHeader">
Generative AI Leadership (3+ Years) &ndash; PRIMARY</h4><ul><li>
Expert-level experience with LLMs (LLaMA, Mistral, GPT, etc.), including fine-tuning and deployment.</li><li>
Strong hands-on work with Agentic AI, multi-agent systems, and RAG implementations.</li><li>
Proficiency with vector databases, LangChain, LangGraph, and modern GenAI toolchains.</li><li>
Expertise in advanced prompt engineering and Chain-of-Thought techniques.</li><li>
Proven track record delivering 3+ production-grade GenAI applications.</li></ul><h4 class="jobSectionHeader">
AI/ML Foundation (4&ndash;5 Years)</h4><ul><li>
Hands-on experience with Python, TensorFlow, and PyTorch for building production ML systems.</li><li>
Full lifecycle management of ML models, from development to monitoring in production.</li><li>
Seamless integration of AI/ML models into enterprise-grade applications and platforms.</li></ul><h4 class="jobSectionHeader">
Enterprise Architecture &amp; Deployment (8+ Years)</h4><ul><li>
Strong background in full-stack development (MERN stack or equivalent).</li><li>
Deployment expertise across on-premises, cloud, and hybrid environments.</li><li>
Advanced Kubernetes skills for orchestration and scaling.</li><li>
Database expertise in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB).</li><li>
Proven ability to design and manage APIs and microservices (REST, GraphQL).</li><li>
DevOps proficiency with Docker, CI/CD pipelines, and infrastructure automation.</li></ul><h4 class="jobSectionHeader">
Cloud &amp; Infrastructure</h4><ul><li>
Deep knowledge of AWS, Azure, or GCP with ML/AI services.</li><li>
AWS expertise highly valued: SageMaker, Bedrock, Lambda, API Gateway.</li><li>
Strong grasp of hybrid cloud architectures integrating AI/ML workloads.</li></ul><h3 class="jobSectionHeader"> 
Proven Delivery</h3><ul><li>
7+ enterprise-scale projects successfully delivered in AI/ML and enterprise systems.</li><li>
Demonstrated team leadership experience with measurable outcomes.</li><li>
Strong focus on delivery excellence, scalability, and long-term maintainability.</li></ul><h3 class="jobSectionHeader"> 
Requirements</h3><ul><li>
(Preferred) Certifications in AWS/Azure/GCP (Solutions Architect, ML Specialty).</li><li>
Excellent communication and stakeholder management skills.</li><li>
Solid experience in Agile/Scrum leadership, driving productivity and team performance.</li></ul><h3 class="jobSectionHeader"> 
Ideal Candidate Profile</h3><ul><li>
Priority expertise:<ul><li>
Generative AI Leadership</li><li>
AI/ML Foundation</li><li>
Enterprise Architecture &amp; Hybrid Deployments</li></ul></li><li>
A strategic leader with hands-on depth, able to innovate, mentor, and deliver at scale.</li></ul>
CXXqEBrHLL</div>

GenAI & AgenticAI Architect - AbuDhabi

ENMA RECRUITMENT LLC

We are looking for a Senior Planning Engineer with proven experience in Infrastructure Sewerage Projects in the UAE.Requirements:Bachelor&rsquo;s Degree in Civil Engineering12&ndash;15 years of relevant experience in planning &amp; scheduling for infrastructure/sewerage projectsStrong knowledge of Primavera (P6) and project scheduling toolsProven experience in planning, monitoring, and controlling project progressExcellent communication and coordination skillsLocally available in the UAE and ready to join on short noticeHow to Apply If you meet the above criteria, send your updated CV to careers@enmarecruit.comUse the subject line: Senior Planning EngineerJob Type: Full-time

Senior Planning Engineer Infrastructure Sewerage

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Senior Full Stack Engineer

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GKE-Anthos Infrastructure Engineer / DevOps

GenAI & AgenticAI Architect - AbuDhabi

Senior Planning Engineer Infrastructure Sewerage