applications engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: AI / ML Engineer</h1>
Job Title: AI / ML Engineer 
Experience: 3&ndash;11 Years 
Location: Riyadh (Onsite) 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking a skilled AI / ML Engineer with 3&ndash;11 years of experience to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise applications.</li><li>
Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment.</li><li>
Develop Generative AI and LLM-powered applications using modern AI frameworks.</li><li>
Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions.</li><li>
Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security.</li><li>
Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation.</li><li>
Implement MLOps best practices including model versioning, monitoring, and CI/CD automation.</li><li>
Stay current with advancements in AI, machine learning, and cloud AI services.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Cloud AI Platforms</h3><ul><li>
Hands-on experience with GCP Vertex AI or Azure Machine Learning or AWS SageMaker.</li><li>
Experience with Azure OpenAI or AWS Bedrock for Generative AI solutions.</li><li>
Experience with BigQuery ML and Dataflow for data processing and machine learning workflows.</li></ul><h3 class="jobSectionHeader">
Programming &amp; Machine Learning</h3><ul><li>
Strong proficiency in Python.</li><li>
Experience developing machine learning solutions using TensorFlow or PyTorch.</li><li>
Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts.</li></ul><h3 class="jobSectionHeader">
Generative AI &amp; LLM Frameworks</h3><ul><li>
Experience with Hugging Face and LangChain for building LLM-powered applications.</li><li>
Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred.</li></ul><h3 class="jobSectionHeader">
Data Engineering &amp; Analytics</h3><ul><li>
Experience with Databricks for data engineering, model development, and analytics workflows.</li><li>
Strong understanding of data preprocessing, feature engineering, and large-scale data processing.</li></ul><h3 class="jobSectionHeader">
MLOps &amp; Deployment</h3><ul><li>
Experience deploying machine learning models into production.</li><li>
Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</li><li>
3&ndash;11 years of professional experience in AI, Machine Learning, or Data Science.</li><li>
Strong analytical, mathematical, and problem-solving skills.</li><li>
Experience working in Agile development environments.</li><li>
Excellent communication and collaboration skills.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience with Large Language Models (LLMs) and Generative AI applications.</li><li>
Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.</li><li>
Experience with distributed model training and cloud-native AI architectures.</li><li>
Cloud certifications in AWS, Azure, or Google Cloud are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
Cloud AI: GCP Vertex AI or Azure Machine Learning or AWS SageMaker</li><li>
Generative AI: Azure OpenAI or AWS Bedrock and Large Language Models (LLMs)</li><li>
Data Processing: BigQuery ML and Dataflow and Databricks</li><li>
Programming: Python</li><li>
Machine Learning Frameworks: TensorFlow or PyTorch</li><li>
LLM Frameworks: Hugging Face or LangChain</li><li>
MLOps: Docker and Kubernetes and CI/CD (Preferred)</li></ul>
kmeseaCmpf</div>

AI / ML Engineer

MOZN

<div>
 
 
 About Mozn
 
 
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We're a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you're passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About the role
 
 
 
 
 
 We are looking for a AI Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions. The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.
 
 
 What you'll do
 
 
 
 
 <ul>
 <li>
 Designing, building, and scaling machine learning models and infrastructure
 </li>
 <li>
 Deploying deep learning and generative models into production for public and private sector projects
 </li>
 <li>
 Optimizing ML training and inference for performance, latency, and scalability
 </li>
 <li>
 Monitoring, retraining, and improving deployed ML models
 </li>
 <li>
 Driving consultation efforts, providing expert guidance to client stakeholders
 </li>
 <li>
 Own the end-to-end delivery of AI solutions, including data pipelines, model development, backend services, APIs, integrations, user interfaces, deployment, and operations
 </li>
 <li>
 Design and build data ingestion, transformation, and processing pipelines for structured and unstructured data
 </li>
 <li>
 Develop backend services and APIs to expose AI capabilities securely and reliably
 </li>
 <li>
 Build or contribute to frontend applications, dashboards, and interfaces for AI-powered solutions
 </li>
 <li>
 Integrate AI solutions with enterprise systems, databases, authentication services, and third-party platforms
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science or related field
 </li>
 <li>
 3-5 years of experience across software engineering, ML engineering, data science, data engineering and generative AI
 </li>
 <li>
 Strong track record of projects across public and private sectors
 </li>
 <li>
 Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks
 </li>
 <li>
 Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama)
 </li>
 <li>
 Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices
 </li>
 <li>
 Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services
 </li>
 <li>
 Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science)
 </li>
 <li>
 Familiarity with MLOps practices and automation pipelines
 </li>
 <li>
 Strong end-to-end engineering capabilities across AI, data engineering, backend development, APIs, integrations, and application deployment
 </li>
 <li>
 Experience building data ingestion, transformation, and processing pipelines
 </li>
 <li>
 Familiarity with backend frameworks such as FastAPI, Flask, Django, Node.js, or equivalent technologies
 </li>
 <li>
 Experience designing and consuming REST APIs, webhooks, and enterprise integration interfaces
 </li>
 <li>
 Working knowledge of frontend technologies such as React, Next.js, JavaScript, TypeScript, HTML, and CSS
 </li>
 <li>
 Experience integrating AI solutions with databases, enterprise applications, identity and access management systems, and third-party services
 </li>
 <li>
 Ability to independently build functional AI applications from prototype through production
 </li>
 <li>
 Experience effectively using AI-assisted software development tools to accelerate prototyping and delivery
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space
 </li>
 </ul>
 <ul>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
 </li>
 </ul>
 <ul>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 </ul>
 <ul>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
 </li>
 </ul>
 <ul>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
 </li>
 </ul>
</div>

AI Engineer

Rawaj - Human Capital Management

<div>Join a leading Saudi technology and systems integration company specializing in delivering innovative enterprise IT infrastructure, cybersecurity, cloud, networking, and digital transformation solutions to government, enterprise, and commercial customers across the Kingdom.
The Proposal Engineer will lead the end-to-end proposal development process, ensuring the delivery of high-quality, competitive, and compliant technical and commercial proposals for enterprise IT opportunities. The role requires a detail-oriented professional capable of coordinating cross-functional teams, managing bid activities, preparing winning proposals, and supporting business growth in a fast-paced technology solutions environment.<h2 class="jobSectionHeader">
Key Accountabilities:</h2><ul><li>
Work closely with the costing, bidding, proposal, and sales teams to prepare competitive bids and proposals, preferably with experience in the Saudi market.</li><li>
Prepare and maintain proposal documentation using Microsoft Excel and Microsoft Word; proficiency in PowerPoint, Visio, and Microsoft Project is highly preferred.</li><li>
Manage and support the end-to-end bidding process, ensuring all required documentation is complete and compliant.</li><li>
Prepare and respond to RFIs (Requests for Information), RFQs (Requests for Quotation), RFPs (Requests for Proposal), and other proposal-related documentation.</li><li>
Leverage previous experience within an IT or technology solutions company to support proposal development.</li><li>
Communicate effectively, both verbally and in writing, with internal teams, vendors, and customers.</li><li>
Coordinate with cross-functional teams, including technical, sales, procurement, and other departments, to develop accurate cost estimates and proposals.</li><li>
Review and interpret customer RFP requirements, liaise with technical teams and vendors, and ensure proposals align with customer expectations and project requirements.</li></ul><h2 class="jobSectionHeader">
Knowledge, Skills, and Experience:</h2><ul><li>
Bachelor's degree in Information Technology, Computer Engineering, Engineering, or a related field.</li><li>
Minimum 3 years of experience in proposal engineering, bidding, tendering, costing, or sales support within an IT company, systems integrator, or technology solutions provider.</li><li>
Solid understanding of the end-to-end bidding process, including RFPs, RFQs, RFIs, technical and commercial proposals, BOQs, and costing.</li><li>
Good knowledge of enterprise IT solutions and the ability to interpret customer requirements and collaborate with technical teams to develop competitive proposals.</li><li>
Experience coordinating with sales, technical, procurement, and finance teams throughout the proposal preparation process.</li><li>
Strong written and verbal communication, organizational, analytical, and problem-solving skills, with the ability to manage multiple proposals and meet deadlines.</li><li>
Proficiency in Microsoft Excel and Microsoft Word; experience with PowerPoint, Visio, and Microsoft Project is preferred.</li><li>
Experience with Saudi government tenders and the Etimad platform is an advantage.</li></ul></div>

Proposal Engineer - IT | Saudi Arabia

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Software Engineering
General Summary:
About Us
Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region . As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
About the Role
Qualcomm is seeking Senior and Staff Software Engineers to contribute to the development and operation of rack management software for AI accelerator products deployed in large-scale data centre environments. This role is hands-on and execution-focused, emphasizing high-quality implementation, debugging, testing, and operational support of infrastructure software that runs close to hardware.
You will collaborate closely with lead engineers and architects across multiple sites, participate in design discussions and reviews, and take on design-ownership roles, while focusing primarily on implementing defined designs, investigating complex issues, and ensuring reliable, secure software behaviour in production environments.
In this role, you will work on software responsible for provisioning, monitoring, orchestration, and lifecycle management of rack‑scale AI systems. You will be expected to take strong ownership of the code you deliver &mdash; from implementation and validation through deployment and debugging in real‑world data center conditions.
This position is well‑suited for a senior engineer who thrives in a distributed team model, communicates effectively across sites, and takes pride in deep technical debugging, system understanding, and operational excellence, even when architectural direction is defined elsewhere.
At the Staff level, the engineer is expected to drive implementation of the designs assigned to the local engineering team and provide guidance and mentorship to junior engineers.
Key Responsibilities will include
<ul><li>Implement, test, and maintain software solutions for rack provisioning, monitoring, and workload deployment
</li><li>Interface with rack hardware (BMC, PDU, CDU, PCIe switches) using Redfish, SNMP, and IPMI protocols.
</li><li>Integrate rack management software with orchestration platforms (e.g., Kubernetes, Terraform, Foreman).
</li><li>Collaborate with ODMs, ISVs, and internal teams to define and deliver scalable rack software solutions.
</li><li>Develop dashboards and unified telemetry pipelines using Prometheus and Grafana.
</li><li>Support firmware updates, crash dump parsing, and remote diagnostics across rack components.
</li><li>Ensure secure boot, VLAN separation, and QoS enforcement for multi-tenant environments.
</li><li>Contribute to software EBOM and protocol documentation with Pegatron and other partners.
</li><li>Write high‑quality, secure, and maintainable code following established coding standards and best practices.
</li><li>Participate in design discussions and reviews, providing implementation‑focused feedback on feasibility, performance, reliability, and maintainability.
</li><li>Own debugging and root‑cause analysis of complex issues across development, integration, and production environments, including deployed systems.
</li><li>Collaborate closely with architects, lead engineers, hardware, firmware, and platform teams to ensure correct system behavior and smooth integration.
</li><li>Implement observability features such as logging, metrics, and tracing to support troubleshooting and operational reliability.
</li><li>Contribute towards documentation, runbooks, and operational procedures related to the software you own or support.
</li><li>Participate in code reviews, testing efforts, and continuous improvement of build, test, and deployment pipelines.
</li></ul>Required Qualifications
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Electrical or Computer engineering, Computer Science, Information Systems, or a related field and 5+ years of software engineering experience
</li><li>Experience in infrastructure software development
</li><li>Proficiency in Python, C++, and shell scripting.
</li><li>Experience with Redfish APIs and DCIM tools.
</li><li>Understanding of server hardware, networking, and storage systems.
</li><li>Strong written and verbal communication skills for working effectively in a multi‑site, globally distributed team.
</li></ul>Preferred Qualifications
<ul><li>Experience with Node.js is a plus.
</li><li>Experience with Rack Management tools.
</li><li>Knowledge of AI workload orchestration tools (e.g., K8s, RKE2).
</li><li>Experience with tools like Prometheus and Grafana.
</li><li>Familiarity with rack-level lifecycle management.
</li><li>Familiarity with Foreman, Ansible, Chef, and Puppet for provisioning and configuration
</li><li>Working knowledge in GoLang is a plus
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field.
 
 
<ul><li>2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul>*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
<div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

Rack SW AI Infrastructure Management (AIMS), UI, Orchestration & Lifecycle Management & Networking Engineer - Riyadh, KSA

ريناد المجد

We are looking for an experienced System Integration Engineer to join our dynamic team in Riyadh. You will be responsible for designing, developing, and maintaining the middleware layer connecting our enterprise applications, ensuring seamless data flow between internal systems and external partners.Key ResponsibilitiesDevelop &amp; Implement Integrations: Design, code, and deploy integration adapters, connectors, and middleware solutions using Enterprise Service Bus (ESB) technologies.Routing &amp; Transformation: Configure routing rules, message transformations, and ensure strict adherence to communication protocols (e.g., SOAP, REST, JMS, FTP).API &amp; Web Services Support: Provide technical support during integration testing phases for APIs and Web Services to guarantee functionality and data integrity.Performance Monitoring: Monitor system performance metrics, identify bottlenecks, and provide actionable solutions to optimize integration processes.Documentation: Maintain comprehensive technical documentation for all integration flows and system interfaces.Qualifications &amp; RequirementsEducation: Bachelor&rsquo;s degree in Business Administration, Computer Science, Information Technology, or an equivalent field.Experience: Minimum of 5 years of hands-on experience in system integration.Technical Skills:Strong experience with ESB tools (e.g., MuleSoft, Apache Camel, WSO2, or IBM Integration Bus).Proficiency in web services (RESTful/SOAP), XML/JSON, and API management.Solid understanding of messaging protocols (JMS, AMQP) and data formats.Location Requirement: Candidates must currently reside in Saudi Arabia (KSA) and be available for onsite work in Riyadh.Job Type: دوام كاملPay: From ﷼1.00 per monthAbility to commute/relocate:<ul><li>Riyadh: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your expected salary ?</li><li>What is your nationality ?</li><li>What is your notice period in days ?</li></ul>Experience:<ul><li>خمس : 4 years (Required)</li></ul>Work Location: In person

System Integration Engineer

Advansys

<div>Advansys is a dynamic solutions provider focused on delivering smart, modular, and sustainable technology solutions that enhance operations, improve customer experiences, and drive business modernization. With over 400 skilled engineers, we serve 100+ enterprise customers across 14 countries. Specialized in a wide array of premium services including Business Automation, Industrial Digitization, Low code Development, Cloud Services, Warehouse Automation &amp; Strategic Outsourcing.
Founded in 2014, Advansys is part of the INTRO Group, a private conglomerate established in 1980 with diverse investments across different business areas, oil and gas, real estate, specialized engineering, financial investment, Food &amp; manufacturing.
Job Summary
We are seeking a motivated and results-driven Electrical Sales Engineer with 1&ndash;3 years of experience to drive sales growth, build strong customer relationships, and provide technical support for electrical products and solutions. The ideal candidate will combine technical expertise with strong sales skills to identify customer needs, prepare proposals, and close sales opportunities.
Key Responsibilities
<ul><li>Identify and develop new business opportunities within assigned territories and industries.</li><li>
Promote and sell electrical products, equipment, and solutions to contractors, consultants, distributors, and end users.</li><li>
Build and maintain strong relationships with existing and potential customers.</li><li>
Conduct customer visits, presentations, and technical demonstrations.</li><li>
Understand customer requirements and recommend suitable electrical solutions.</li><li>
Prepare technical and commercial quotations, proposals, and tender documents.</li><li>
Negotiate pricing, terms, and contracts to secure orders.</li><li>
Follow up on inquiries, quotations, and projects to maximize conversion rates.</li><li>
Coordinate with internal teams, including engineering, procurement, and operations, to ensure successful project execution.</li><li>
Monitor market trends, competitor activities, and customer feedback.</li><li>
Maintain accurate sales records, forecasts, and reports using CRM systems.</li><li>
Achieve individual sales targets and contribute to overall business growth.</li></ul> 

Requirements 
<ul><li>
Certified SCE Bachelor's Degree in Electrical Engineering is a must.</li><li>
1&ndash;3 years of experience in technical sales, electrical sales, or a related field.</li><li>
Knowledge of electrical products such as switchgear, transformers, cables, control panels, circuit breakers, LV/MV systems, or industrial electrical solutions.</li><li>
Strong understanding of sales processes and customer relationship management.</li><li>
Ability to read electrical drawings and technical specifications.</li><li>
Excellent communication, negotiation, and presentation skills.</li><li>
Proficiency in Microsoft Office applications.</li><li>
Experience using CRM software is an advantage.</li><li>
Valid driving license is preferred.</li></ul></div>

Electrical Sales Engineer

<div>
 
 
 Company:
 
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 
 Job Area:
 
 
 
 
 Engineering Group, Engineering Group &gt; Software Engineering
 
 
 
 
 General Summary:
 
 
 
 
 
 About Us
 
 
 
 Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You&rsquo;ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
 
 
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region.
 
 
 As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
 
 
 
 
 About The Role
 
 
 
 
 We are seeking a Full-Stack Machine Learning Engineer to join our team, bridging AI solutions development with AI platform engineering for Qualcomm&rsquo;s AI Inference Suite and rack-scale data center deployments. This role involves designing, delivering, and supporting end-to-end AI services, agentic workflows, and fine-tuning pipelines, while enabling lifecycle automation, orchestration, and observability for large-scale data center environments.
 
 
 You will bring a strong combination of full-stack engineering expertise, machine learning proficiency, and infrastructure knowledge to build robust, scalable AI systems.
 
 
 
 
 Key Responsibilities Will Include:
 
 
 
 
 <ul>
 <li>
 API Development &amp; Optimization: Build and optimize API serving layers for AI inference workloads, ensuring model and hardware efficiency.
 </li>
 <li>
 Agentic Workflows &amp; RAG Pipelines: Develop intelligent agents and retrieval-augmented generation workflows using frameworks such as LangChain and crew.ai.
 </li>
 <li>
 Model Lifecycle Management: Implement production-grade bring-your-own-model and fine-tuning flows, including dataset ingestion, orchestration, evaluation, and deployment.
 </li>
 <li>
 LLM Runtime Integration: Work with various LLM runtimes (e.g., vLLM, Dynamo, llm-d) and leverage inference optimization techniques.
 </li>
 <li>
 SDK &amp; Tooling Contributions: Contribute to AI Inference Suite SDKs (Python/TypeScript/Java/Rust), CLI tools, and reference applications.
 </li>
 <li>
 Cluster Management: Design and maintain AI cluster management software for provisioning, orchestration, and monitoring.
 </li>
 <li>
 Telemetry &amp; Observability: Integrate out-of-band management via Redfish/IPMI and in-band telemetry using Prometheus/OpenTelemetry.
 </li>
 <li>
 Infrastructure-as-Code: Develop workflows using MAAS, Terraform, and Ansible for bare-metal and containerized deployments.
 </li>
 <li>
 Kubernetes Orchestration: Enable Kubernetes/Helm-based orchestration for inference clusters and multi-tenancy.
 </li>
 <li>
 Monitoring &amp; Dashboards: Build dashboards for rack health, inventory, and SLA compliance.
 </li>
 <li>
 Continuous Innovation: Stay current with GenAI trends, rack-scale AI orchestration, and data center best practices.
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
 </li>
 <li>
 5+ years of software engineering experience; 3+ years in ML or HPC environments.
 </li>
 <li>
 Strong programming skills in Python, Rust/Go, and TypeScript, with solid software development fundamentals.
 </li>
 <li>
 Deep understanding of data structures and algorithms in distributed systems and high-performance computing contexts.
 </li>
 <li>
 Hands-on experience with Kubernetes, Helm, Prometheus/OpenTelemetry, and Ansible/Terraform.
 </li>
 <li>
 Practical experience with LLM runtimes, agent frameworks, and rack-scale orchestration.
 
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Computer Science, Machine Learning, or related field.
 </li>
 <li>
 Experience building inference and fine-tuning pipelines, as well as agentic workflows.
 </li>
 <li>
 Knowledge of data centre resource lifecycle management, out-of-band protocols (Redfish/IPMI), and MAAS/OpenStack.
 </li>
 <li>
 Exposure to scale-up data centre networking technologies (RoCE/RDMA/NVLink).
 </li>
 <li>
 Contributions to inference and GenAI model performance optimization.
 
 
 
 </li>
 </ul>
 
 
 What's On Offer
 
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <ul>
 <li>
 Salary including housing &amp; transport allowance
 </li>
 <li>
 Stock (RSU's) and performance related bonus
 </li>
 <li>
 16 weeks fully paid Maternity Leave
 </li>
 <li>
 6 weeks fully paid Paternity Leave
 </li>
 <li>
 Employee stock purchase scheme
 </li>
 <li>
 Child Education Allowance
 </li>
 <li>
 Relocation and immigration support (if needed)
 </li>
 <li>
 Life and Medical Insurance
 </li>
 <li>
 Live+ Well Reimbursement for health and recreational membership fees
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field.
 
 
 <ul>
 <li>
 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
 </li>
 <li>
 References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
 
 
 
 </li>
 </ul>
 Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 
 
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 
 
 
 To all Staffing and Recruiting Agencies
 
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
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Full Stack Machine Learning Engineer (Datacentre AI Engineering) - Riyadh, KSA

Explore 86+ Applications engineer in Riyadh this August. Find roles across top companies and apply now to boost your career.