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Mogi I/O

Job Title Software Engineer Rust and Docker (3 Months Contract) Remote Job Description Software Engineer Rust and Docker (3 Months Contract) Remote Role Summary We are hiring a Software Engineer with expertise in Rust and Docker for a 3-month fully remote contract. This role involves contributing to an AI-driven project focused on creating training and evaluation datasets for Large Language Models (LLMs) using real-world open-source repositories. You ll work at the intersection of software engineering and AI research, combining advanced coding with hands-on system integration. Job Details Job Location: Remote (Dubai-based operations) Industry: Information Technology and Services Function: Software Engineering / Development Job Type: Contract (3 months, hourly-based, no paid leaves or benefits) Position Overview As part of the project, you will configure development environments, triage GitHub issues, validate bug fixes, and test LLM-driven enhancements across complex real-world repositories. This is an exciting opportunity for engineers passionate about Rust and advanced containerization workflows. What You ll Do * Analyze and triage GitHub issues from trending open-source repositories. * Configure and manage code environments using Docker and similar tools. * Validate code quality, unit test coverage, and overall repository health. * Modify and run codebases to benchmark LLM capabilities in real scenarios. * Partner with AI research teams to define and select repositories for evaluation. * Optionally mentor junior engineers contributing to the project. Ideal Profile * 3 4+ years of hands-on Rust programming experience. * Strong working knowledge of Docker, CI/CD pipelines, and GitHub workflows. * Proven ability to debug, test, and run complex real-world codebases locally. * Familiarity with open-source contribution workflows and issue triaging. * Excellent problem-solving, collaboration, and technical documentation skills.

Software Engineer

CASABOT®

<div>
 
 We&rsquo;re seeking a
 
 Software Engineer specialized in NVIDIA technology
 
 to lead the development and optimization of CASABOT&rsquo;s next-generation
 
 Edge OS
 
 , running on NVIDIA Jetson and other embedded GPU platforms.
 
 
 
 You&rsquo;ll work at the intersection of
 
 AI, embedded systems, and operating system design
 
 , ensuring BOTty&trade; delivers ultra-low latency, privacy-first intelligence without relying on the cloud.
 
 
 
 This is a hands-on systems engineering role at the crossroads of AI inference, OS design, and embedded GPU computing.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Architect, develop, and optimize CASABOT&rsquo;s
 
 Edge OS stack
 
 for
 
 NVIDIA Jetson Orin, Xavier, and Nano
 
 platforms.
 
 
 </li>
 <li>
 
 Design and implement
 
 GPU-accelerated modules
 
 for real-time inference, local NLU, and computer vision pipelines.
 
 
 </li>
 <li>
 
 Integrate
 
 CUDA
 
 ,
 
 TensorRT
 
 , and
 
 DeepStream SDK
 
 components into CASABOT&rsquo;s OS environment.
 
 
 </li>
 <li>
 
 Build custom
 
 Linux kernel configurations
 
 ,
 
 drivers
 
 , and
 
 device tree overlays
 
 for edge performance optimization.
 
 
 </li>
 <li>
 
 Work closely with AI, DevOps, and hardware teams to streamline deployment across BOTty&trade; gateway models (CB-Lite, CB-100, CB-Ultra II).
 
 
 </li>
 <li>
 
 Implement
 
 OTA update systems
 
 ,
 
 containerized edge apps
 
 , and
 
 secure boot pipelines
 
 on NVIDIA SoC architectures.
 
 
 </li>
 <li>
 
 Conduct profiling, benchmarking, and tuning for
 
 latency, power efficiency, and reliability
 
 .
 
 
 </li>
 <li>
 
 Collaborate with AI engineers to deploy optimized models (ONNX/TF/LLM-quantized) for
 
 real-time inference
 
 on-device.
 
 
 </li>
 <li>
 
 Contribute to system-level design, ensuring
 
 compliance, reproducibility, and maintainability
 
 of the OS stack.
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Electrical Engineering, or related field.
 
 
 </li>
 <li>
 
 
 2-5 years
 
 experience in embedded software or Linux based OS development.
 
 
 </li>
 <li>
 
 Proven hands-on expertise with
 
 NVIDIA Jetson
 
 ,
 
 CUDA
 
 ,
 
 TensorRT
 
 , and
 
 DeepStream SDK
 
 .
 
 
 </li>
 <li>
 
 Solid understanding of
 
 Linux kernel internals
 
 ,
 
 Yocto
 
 , or
 
 Buildroot
 
 for OS builds.
 
 
 </li>
 <li>
 
 Experience with
 
 C/C++
 
 ,
 
 Python
 
 , and
 
 Bash
 
 .
 
 
 </li>
 <li>
 
 Familiarity with
 
 edge AI
 
 workflows (model quantization, pruning, and deployment).
 
 
 </li>
 <li>
 
 Knowledge of
 
 containerization (Docker, Podman)
 
 and
 
 OTA update frameworks
 
 for embedded devices.
 
 
 </li>
 <li>
 
 Strong debugging and profiling skills (Nsight Systems, perf, valgrind, etc.).
 
 
 </li>
 <li>
 
 Passion for performance optimization and edge computing architectures.
 
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Experience with
 
 ROS/ROS2
 
 ,
 
 ZeroMQ
 
 , or
 
 gRPC
 
 for distributed edge communications.
 
 
 </li>
 <li>
 
 Familiarity with
 
 hardware accelerators
 
 ,
 
 multi-camera streaming
 
 , or
 
 AR/VR pipelines
 
 .
 
 
 </li>
 <li>
 
 Contributions to
 
 open-source OS or driver projects
 
 (Yocto, JetPack, etc.).
 
 
 </li>
 <li>
 
 Prior work in
 
 AI-powered home automation, robotics, or IoT ecosystems
 
 .
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Benefits
 
 
 
 
 
 <ul>
 <li>
 
 Work on the frontier of
 
 AI at the Edge
 
 and
 
 autonomous living environments
 
 .
 
 
 </li>
 <li>
 
 Join a global team combining expertise from
 
 Apple, Cisco, KPMG, and Accenture
 
 .
 
 
 </li>
 <li>
 
 Opportunity to shape the core technology behind the world&rsquo;s first
 
 AI-Home Operating System
 
 .
 
 
 </li>
 <li>
 
 Competitive compensation, stock options, and growth potential within a rapidly scaling company.
 
 
 </li>
 </ul>
 
 
 
 
 
 
</div>

Tavily

<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>

CMETS Energy Solutions LLC

Job SummaryWe are seeking a highly motivated Software Engineer to join our Instrumentation &amp; Automation Systems (IAS) Division. The ideal candidate will design and implement AI-driven and automation solutions that enhance industrial efficiency, predictive maintenance, and digital transformation across energy projects. In addition, the role will support IT &amp; Admin functions, ensuring smooth operation, security, and optimization of company systems, networks, and digital infrastructure.Key ResponsibilitiesAI &amp; Automation:<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>IT &amp; Admin Support:<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>Qualifications<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 Python, TensorFlow, PyTorch, OpenCV, or scikit-learn.</li><li>Familiarity with RPA tools (UiPath, Power Automate, Blue Prism) and API integration.</li><li>Good understanding of networking, system security, and cloud infrastructure (AWS, Azure, GCP).</li><li>Experience with containerization (Docker/Kubernetes) preferred.</li><li>Strong analytical and troubleshooting skills with the ability to work across technical and administrative functions.</li></ul>Benefits<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>Job Types: Full-time, Permanent

<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>

Client of Orbis Group

Staff Software Engineer Responsibilities 
<ul>
<li>Build high-quality, production-ready code for enterprise customers tackling complex AI problems</li>
<li>Lead the design and building of AI-driven systems with emerging technologies</li>
<li>Work in a tight-knit collaborative squad, interfacing closely with the customer to craft elegant solutions</li>
</ul>
 Staff Software Engineer Requirements 
<ul>
<li>5+ years of experience as an engineer ideally with exposure to various technologies such as Python, Java, Typescript, React etc.</li>
<li>Compsci background strong data structures and algorithms</li>
<li>Experience working in a high performing engineering culture or founding experience</li>
<li>Some experience or interest with AI LLMs, RAG etc.</li>
</ul>
The organization offers significant equity, unlimited PTO, full medical/dental/vision, and many other perks.
If you d like to work with an extremely talented team of engineers as they solve fascinating problems, at scale, using various tools, please do not hesitate to apply!

Staff Software Engineer

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5217 software engineer jobs IN United Arab Emirates

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