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senior data engineer Jobs in Saudi Arabia

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senior software engineer Jobs in Saudi Arabia

senior software engineer

ai automation (llms, rag) engineer Jobs in Saudi Arabia

ai automation (llms, rag) engineer

ai software engineer llm engineer

TAWANTECH

<div>Job Summary
We are seeking an AI Software Engineer with hands-on experience in Large Language Models (LLMs) and Generative AI technologies to develop intelligent solutions that enhance customer experience, operational efficiency, and knowledge management within the banking sector.
Key Responsibilities<ul><li>Design, develop, and deploy AI-powered applications leveraging LLMs and Generative AI.</li><li>Build Retrieval-Augmented Generation (RAG) solutions using enterprise banking data.</li><li>Develop intelligent assistants, chatbots, and knowledge management solutions.</li><li>Integrate AI services with banking applications and APIs.</li><li>Fine-tune, evaluate, and optimize LLM performance.</li><li>Ensure compliance with banking security, governance, and regulatory requirements.</li><li>Collaborate with business, data, and technology teams to deliver AI-driven solutions.</li></ul> 
Requirements<ul><li> 
4+ years of software engineering experience.</li><li>Strong Python programming skills.</li><li>Experience with LLMs, Generative AI, and Prompt Engineering.</li><li>Experience with LangChain, LlamaIndex, Vector Databases, and RAG architectures.</li><li>Familiarity with machine learning frameworks and AI deployment practices.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is preferred.</li></ul>
Preferred Qualifications<ul><li>Banking or Financial Services experience.</li><li>Experience developing AI copilots or customer-facing AI solutions.</li><li>Knowledge of AI governance and responsible AI practices.</li></ul></div>

AI Software Engineer / LLM Engineer

Cisco

Meet the Team
 As a Solutions Engineer at Cisco, you will work closely with the Service Provider Sales team to identify the needs one of Cisco’s most strategic Service Provider accounts in Saudi Arabia, demonstrate Cisco solutions, and design tailored products that drive digital transformation. You will provide expert technical guidance focused on customer success and aligned outcomes, while enjoying the flexibility to handle your work in a way that delivers the best results for both the customer and your team. This role requires solution engineer who combines, Enterprise networking, Data Center architecture solutions with strong AI, automation capable of guiding customers toward fully autonomous, AI-driven networks.
 
Your Impact
 As a Solution Engineer, you will play a pivotal role in accelerating Cisco's leadership by acting as a trusted technical advisor and solution architect. Your expertise will be crucial in translating service provider objectives into comprehensive, impactful architecture and solution strategies across Cisco’s diverse portfolio. Serve as the technical lead within the account team, building trusted advisor relationships with senior IT and business leaders.
 
<ul>
<li>Own the end-to-end technology vision and architecture, spanning Service Provider networks, Data Center, Cloud, Automation, Cybersecurity and AI driven operations.</li>
<li>Lead the design of large-scale, highly scalable Data Center, Enterprise Networking architectures, aligned with future autonomous networking models.</li>
<li>Lead AI-driven network transformation initiatives, including:</li>
<li>Applying AI/ML and LLM models to network operations, assurance, planning, and optimization</li>
<li>Positioning Agentic AI for closed-loop decision making, intent execution, and self-healing networks</li>
<li>Integrating AI capabilities across transport, Data Center, cloud and cybersecurity domains</li>
<li>Articulate and demonstrate the business impact of AI on network efficiency, cost optimization, resilience, and customer experience.</li>
<li>Lead network automation and orchestration strategy, with deep expertise in DNA Center, Nexus Dashboard, Cisco Intersight and Cisco Crosswork Automation portfolio</li>
<li>Collaborate with account teams, product leaders, and executives to influence roadmaps, investment decisions, and long-term transformation strategy.</li>
<li>Develop and present high-impact technical proposals, architectures, and demonstrations.</li>
<li>Drive proof of concepts (POCs), pilots, and solution validation to accelerate decision-making and adoption.</li>
</ul>
Minimum Qualifications
 
<ul>
<li>3+ year’s of proven experience in presales, consultative, or solution architect roles, demonstrating a proven presales track record in designing and deploying solutions, particularly in routing, switching, data center and cloud.</li>
<li>Technical expertise in:</li>
<li>Scalable, AI-ready Data Center architecture including compute, storage solutions (Cisco or 3rd party), data center networking, Cisco ACI</li>
<li>Enterprise network architectures using Cisco routing, switching and wireless solutions, SD-WAN, SASE, modern AI Ops/ML Ops, and programming/scripting capabilities.</li>
<li>Service provider network architecture spanning Access, transport, Data center, and Internet with related technologies.</li>
<li>Strong AI and automation expertise, including:</li>
<li>Applied understanding of AI/ML models for networking use cases such as assurance, optimization, planning, and predictive operations</li>
<li>Architectural or hands-on knowledge of LLM-based systems for operational insights, automation, and decision support</li>
<li>Experience designing or positioning Agentic AI frameworks to enable closed-loop, intent-based, and autonomous network operations</li>
<li>Strong understanding of Cisco technologies and architecture, with proven cross-architecture experience to translate client objectives into comprehensive solutions across Cisco’s full portfolio.</li>
<li>Ability to simplify complex technical concepts for both technical and non-technical audiences, coupled with strong executive-level communication skills.</li>
<li>Solid experience engaging directly with customers, applying consultative selling techniques, understanding financial pain points, and aligning solutions with customer business models to drive value realization and adoption.</li>
</ul>
Preferred Qualifications
 
<ul>
<li>Bachelor’s degree in electrical engineering, Computer Science, or a related field.</li>
<li>Cisco certifications (e.g., CCNA, CCNP, CCIE) or equivalent vendor credentials.</li>
<li>Experience in Enterprise networking solutions: campus and branch, secure network architecture, access, wireless, wide area network, visibility and monitoring solutions</li>
<li>Understanding of data center technologies: hyperconverged infrastructure, cloud computing and networking, Data center fabric, servers, unified edge, SDN controller,</li>
<li>High level understanding of Service Provider Routing and Transport, including SR-MPLS and SRv6, Mobility, 5G Core network design and evolution</li>
<li>Ability to work effectively, add value as a team member, and assume a proactive approach to your career, demonstrating a growth mindset and adaptability.</li>
<li>Excellent written and verbal communication, listening, and strong presentation skills.</li>
<li>Experience in Saudi Arabia market is highly desirable, with Arabic language proficiency considered a significant plus.</li>
</ul>
Nature of the Work: Hybrid Full Time
 Hours of work: 48 hours per week
 Benefits: Healthcare and Insurance, Employee Stock Purchase program, Flexible Spending Benefit, Flex and Schooling Allowances and many more.
 Application start and end date: Starting 6th of May for approx. 4-6 weeks
 
Why Cisco?
 
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 We are Cisco, and our power starts with you.

Solutions Engineer

DeepSource Technologies

<div>We are looking for a highly capable Senior AI Engineer / MLOps Engineer to join our team and lead the design, development, deployment, and optimization of scalable, production-grade AI and machine learning solutions. The ideal candidate will have strong hands-on experience across AI engineering, machine learning, MLOps, cloud-native architecture, and data engineering, with the ability to transform experimentation into reliable, business-ready systems.
This role requires deep expertise in LLMs, RAG, agentic AI workflows, CI/CD automation, production ML lifecycle management, and modern data platforms. The selected candidate will be expected to lead end-to-end AI initiatives, work across multiple projects, collaborate with technical and business stakeholders, and ensure operational excellence across AI platforms.
Key Responsibilities<ul><li>Design, develop, deploy, and maintain production-grade AI and machine learning systems end to end.</li><li>Build and optimize LLM-powered applications, including RAG pipelines, prompt workflows, agent-based systems, and multimodal AI use cases.</li><li>Develop intelligent workflows using tool-calling, orchestration frameworks, and contextual reasoning patterns.</li><li>Fine-tune, evaluate, and operationalize machine learning and foundation models for enterprise use cases.</li><li>Build and manage MLOps pipelines covering training, evaluation, model registration, deployment, monitoring, and retraining.</li><li>Implement CI/CD pipelines for ML and AI workflows to support automated testing, release management, and controlled deployments.</li><li>Establish model monitoring frameworks for drift detection, feature attribution, inference quality, and performance tracking.</li><li>Ensure reproducibility, reliability, and version control across AI/ML environments.</li><li>Architect scalable AI/ML platforms using modern compute, storage, orchestration, monitoring, and search services.</li><li>Build repeatable environments using Infrastructure as Code.</li><li>Support secure, high-availability, and cost-efficient deployment models across development, staging, and production environments.</li><li>Design scalable inference and serving patterns for variable workloads.</li><li>Build and maintain automated data pipelines, ETL/ELT workflows, and data processing frameworks for AI/ML consumption.</li><li>Ensure data quality, lineage, governance, and versioning to support dependable model training and inference.</li><li>Work with structured and unstructured datasets across data lakes, data warehouses, and operational systems.</li><li>Deliver analytics-ready datasets to downstream systems and applications.</li><li>Lead multiple AI initiatives in parallel, including planning, execution, and coordination with internal teams and stakeholders.</li><li>Work closely with product, engineering, data, and business teams to deliver production-ready AI capabilities.</li><li>Contribute to architecture decisions, technical documentation, best practices, and engineering standards.</li><li>Support knowledge sharing, technical leadership, and continuous improvement across the AI function. 
</li></ul> 
 
Requirements<ul><li> 
Bachelor&rsquo;s degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>5+ years of hands-on experience in AI engineering, machine learning engineering, MLOps, or data/ML platform engineering.</li><li>Proven experience deploying production AI/ML solutions in enterprise environments.</li><li>Strong programming experience in Python and SQL.</li><li>Strong experience with enterprise AI/ML architecture and delivery.</li></ul></div>

AI Architect - Riyadh,KSA

MASTER-WORKS

<div>Business Unit: Nabeh
Job Location: HQ
Job Purpose
Our subsidiary Nabeh is seeking for an experienced and highly skilled Software Testing, Junior Engineer. Responsible for supporting QA activities by executing test cases, identifying defects, and ensuring adherence to defined quality standards under supervision.
Key Responsibilities<ul><li>
Execute test cases and document results</li><li>
Assist in preparing:</li><li><ul><li>
Test scenarios</li><li>
Test data</li></ul></li><li>
Perform:</li><li><ul><li>
Functional and basic integration testing</li><li>
Basic API testing (Postman)</li></ul></li><li>
Support validation of application behavior and basic AI outputs</li><li>
Log and track defects with clear evidence</li><li>
Participate in regression and smoke testing cycles</li><li>
Follow QA standards, processes, and guidelines</li><li>
Collaborate with team members for issue resolution</li></ul>
Qualifications &amp; Requirements<ul><li>
1&ndash;3 years of experience</li><li>
Arabic Speaker (Mandatory)</li><li>
Basic understanding of software testing concepts</li><li>
Familiarity with test case writing and defect tracking</li><li>
Basic exposure to API testing tools (preferred)</li><li>
Willingness to learn automation and AI testing concepts</li><li>
Experience in Agile (preferred)</li></ul>
Certifications<ul><li>
ISTQB CTFL (Mandatory)</li></ul>
Language<ul><li>
Arabic (Native) &amp; English (Fluent)</li></ul></div>

Software Testing, Junior Engineer

<div>Business Unit: Nabeh
Job Location: HQ
Job Purpose
Our subsidiary Nabeh is seeking for an experienced and highly skilled Software Testing, Senior Engineer. Responsible for designing, executing, and optimizing testing activities across AI and digital systems, ensuring high-quality delivery and supporting automation and performance initiatives.
Key Responsibilities<ul><li>
Design and maintain:
</li><li><ul><li>Test cases, test scenarios, and test data
</li></ul></li><li>Execute:
</li><li><ul><li>Functional, system, and integration testing
</li><li>API testing (Swagger, Postman)
</li></ul></li></ul><ul><li>Develop and maintain automation scripts (Selenium, Robot, SHAFT)
</li><li>Support performance testing execution (JMeter, Locust, Gatling, k6)
</li><li>Perform database validation and data consistency checks
</li><li>Validate AI outputs against defined scenarios and expected behavior
</li><li>Log, track, and manage defects with proper documentation
</li><li>Prepare test reports and execution evidence
</li><li>Collaborate with development, data, and AI teams
</li><li>Mentor and guide junior engineers
</li></ul>Qualifications &amp; Requirements<ul><li>
4&ndash;6+ years of QA experience
</li><li>Arabic Speaker (Mandatory)</li><li>
Strong hands-on experience in:
</li><li><ul><li>Test case design &amp; execution
</li><li>API and database testing
</li></ul></li></ul><ul><li>Working knowledge of automation frameworks
</li><li>Good understanding of performance testing concepts
</li><li>Exposure to AI systems or data-driven platforms (preferred)
</li><li>Experience in Agile environments
</li></ul>Certifications<ul><li>
ISTQB CTFL (Mandatory)
</li><li>ISTQB CTFL-AT (Preferred)
</li></ul>Language<ul><li>
Arabic (Native) &amp; English (Fluent)</li></ul></div>

Software Testing, Senior Engineer

YO IT Consulting

<div>
 
 Job Title:
 
 C#
 
 
 
 Job Type:
 
 Contractor
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary
 
 
 
 Join our customer's team as an expert C# engineer and play a pivotal role in an innovative AI agent project. As a vital contributor, you will leverage your expertise to train AI models and shape intelligent systems. This fully remote position is perfect for driven professionals passionate about creating transformative technology.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop, implement, and maintain robust C# applications for AI agent solutions.
 </li>
 <li>
 Collaborate with cross-functional teams to design and optimize AI model architectures.
 </li>
 <li>
 Utilize strong back-end or fullstack capabilities to ensure high-performance and scalable solutions.
 </li>
 <li>
 Analyze project requirements and deliver clean, efficient, and well-documented code.
 </li>
 <li>
 Enhance AI training processes by providing expert input and innovative solutions.
 </li>
 <li>
 Communicate effectively with team members, sharing insights and technical updates.
 </li>
 <li>
 Troubleshoot, debug, and optimize application performance during AI model training and deployment.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Expert-level proficiency in C# programming.
 </li>
 <li>
 Over 4 years of professional experience in software development.
 </li>
 <li>
 Demonstrated expertise in back-end or fullstack engineering.
 </li>
 <li>
 Strong written and verbal communication skills with an emphasis on clarity and collaboration.
 </li>
 <li>
 Experience working in remote team environments.
 </li>
 <li>
 Track record of delivering complex technical projects efficiently.
 </li>
 <li>
 Ability to work autonomously and proactively address challenges.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Prior experience contributing to AI or machine learning projects.
 </li>
 <li>
 Familiarity with training, fine-tuning, or evaluating AI models.
 </li>
 <li>
 Exposure to modern cloud platforms or distributed systems.
 </li>
 </ul>
</div>

C# Developer - Remote

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; Systems 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.
Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration.
We are hiring LLM Serving Engineers at multiple levels to join our dynamic, collaborative team.
This role spans the full product lifecycle&mdash;from cutting-edge research and development to commercial deployment&mdash;and demands strategic thinking, strong execution, and excellent communication skills.
This role involves the following activities:
<ul><li>Building a scalable LLM inference platform using inference techniques (e.g. disaggregated serving and KV-Cache management, advanced parallelism, speculative algorithms, model optimization, specialized kernels).
</li><li>Contribute to the development of LLM Serving packages (e.g. vLLM, SGLang, TGI, Triton-Inference server, Dynamo, LLM-d).
</li><li>Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams.
</li><li>Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
</li><li>Drive efficient serving through smart autoscaling, load balancing and routing.
</li><li>Engage with open-source serving communities to evolve the framework.
</li></ul>You will demonstrate the following:
<ul><li>Hands-on experience in one or more of the following LLM serving/Orchestration packages (Triton-Inference Server, vLLM, SGLang, Ollama, llm-d, KServe, LMCache, MoonCake)
</li><li>Deep understanding of foundational LLMs, VLMs, SLMs, transformer-based architectures.
</li><li>Strong experience in developing language models using PyTorch.
</li><li>Strong computer science fundamentals - algorithms, data structures, parallel and distributed programming.
</li><li>Understanding of computer architecture, ML accelerators, in-memory processing and distributed systems.
</li><li>Strong Python development skills for large-scale projects with passion for software engineering.
</li><li>Experience in analyzing, profiling, and optimizing deep learning workloads.
</li><li>Proactive learning about the latest inference optimization techniques.
</li><li>Excellent communication and problem-solving skills, with the ability to thrive in a fast-paced and collaborative environment.
</li><li>MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering.
</li></ul>Bonus Skills include:
<ul><li>Open-source contribution to any GenAI package.
</li><li>Experience architecting and developing large-scale distributed systems.
</li><li>High-level kernel design experience (PyTorch, CUDA, Triton).
</li><li>Knowledge of torch.compile or torchDynamo
</li><li>PhD in Computer Science, Computer Engineering or Machine Learning
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Computer Science, Electrical or Computer Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
</li></ul>OR
 
Master's degree in Computer Science, Electrical or Computer Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
 
OR
 
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
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 4+ years of Systems Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
*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>

LLM Serving Engineer (Cloud AI Engineering) - Riyadh, KSA

Explore 298+ Ai software engineer llm engineer in Saudi Arabia this June. Find roles across top companies and apply now to boost your career.