artificial intelligence engineer

Raqmiyat

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>04/03/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Job Opening Status</p>
<div><b>In-progress</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>4-5 years</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Technology</b><b>
</b></div></div><div><p>City</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Ar Riyad</b><b>
</b></div></div><div><p>Country</p>
<div><b>Saudi Arabia</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>11564</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div><br>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><div>Job Overview:<br>
</div><div>
We are looking for a motivated and innovative <b>Artificial Intelligence Engineer</b> with <b>3+ years of experience</b> in designing, developing, and deploying AI/ML solutions. The ideal candidate should have hands-on experience in <b>machine learning, data modeling, Python programming, and AI solution development</b>, with the ability to transform business requirements into intelligent systems and predictive models.<br>
<br>
</div><div></div><br>
<p><b>Key Responsibilities:</b></p><br>
<ul><li>
Design, develop, and deploy <b>AI and machine learning models</b> for business use cases.<br>
</li><li>
Build and optimize <b>predictive, classification, and recommendation models</b>.<br>
</li><li>
Work with large datasets to perform <b>data preprocessing, feature engineering, and model training</b>.<br>
</li><li>
Develop AI-driven solutions using <b>Python and machine learning frameworks</b>.<br>
</li><li>
Evaluate model performance and improve accuracy through tuning and validation techniques.<br>
</li><li>
Collaborate with stakeholders to understand business problems and translate them into AI use cases.<br>
</li><li>
Integrate AI models into applications, dashboards, or enterprise systems.<br>
</li><li>
Monitor deployed models and ensure continuous performance improvement.<br>
</li><li>
Prepare technical documentation and support ongoing enhancements.</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><ul><li>
3+ years of experience in <b>Artificial Intelligence / Machine Learning Engineering</b><br>
</li><li>
Strong proficiency in <b>Python</b><br>
</li><li>
Hands-on experience with <b>machine learning algorithms and model development</b><br>
</li><li>
Experience with libraries such as <b>TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy</b><br>
</li><li>
Good understanding of <b>data structures, statistics, and predictive analytics</b><br>
</li><li>
Experience in <b>data cleaning, feature engineering, and model evaluation</b><br>
</li><li>
Knowledge of <b>SQL and database management</b><br>
</li><li>
Strong problem-solving and analytical skills</li></ul></div></div></div><p></p>

Artificial Intelligence Engineer

MASTER-WORKS

<div><p>We are seeking a <b>talented and motivated AI Engineer</b> with expertise in <b>Large Language Models (LLMs)</b>, <b>Natural Language Processing (NLP)</b>, and <b>Speech-to-Text</b> technologies.<br>
As part of our dynamic team, you will design, develop, and deploy next-generation AI solutions that enhance our products and services through intelligent automation, language understanding, and seamless communication systems.</p><p></p><p><b>
Key Responsibilities</b></p><p><b>
LLM Development &amp; Integration</b></p><ul><li>
Fine-tune and deploy <b>Large Language Models</b> for chatbots, content generation, and virtual assistants.</li><li>
Evaluate and optimize model performance in real-world use cases.</li><li>
Integrate LLMs into production environments ensuring scalability and reliability.</li></ul><p><b>
NLP System Design</b></p><ul><li>
Design and implement <b>NLP algorithms</b> for text classification, sentiment analysis, entity recognition, and summarization.</li><li>
Handle large text datasets for model training and validation.</li><li>
Collaborate with cross-functional teams to address language-related challenges.</li></ul><p><b>
Speech-to-Text Implementation</b></p><ul><li>
Develop and optimize <b>speech-to-text (ASR)</b> pipelines for multiple languages and dialects.</li><li>
Integrate speech recognition systems with NLP and LLM modules for end-to-end conversational experiences.</li><li>
Stay updated with advancements in <b>Automatic Speech Recognition (ASR)</b> technologies.</li></ul><p><b>
Performance Optimization</b></p><ul><li>
Improve AI model efficiency for real-time performance and scalability.</li><li>
Identify and mitigate biases to ensure model accuracy, fairness, and robustness.</li></ul><p><b>
Research &amp; Innovation</b></p><ul><li>
Stay current with cutting-edge research in <b>LLMs, NLP, and Speech AI</b>.</li><li>
Experiment with new architectures and techniques to drive innovation.</li></ul><p><b>
Documentation &amp; Collaboration</b></p><ul><li>
Maintain detailed documentation of models, datasets, and workflows.</li><li>
Collaborate with <b>product managers, software engineers,</b> and other stakeholders to deliver production-grade AI solutions.</li></ul><p></p><b><br>
Requirements</b><p><b><br>
Qualifications</b></p><ul><li><b>
Bachelor&rsquo;s or Master&rsquo;s degree</b> in Computer Science, Artificial Intelligence, Data Science, or related fields.</li><li>
Proven experience in <b>LLM development</b> (e.g., OpenAI GPT, Claude, or similar frameworks).</li><li>
Strong knowledge of <b>NLP libraries</b> (e.g., Hugging Face, spaCy, NLTK).</li><li>
Hands-on experience with <b>speech-to-text tools</b> (e.g., Whisper, Google Speech API, DeepSpeech).</li><li>
Proficiency in <b>Python</b> and frameworks like <b>TensorFlow</b> or <b>PyTorch</b>.</li><li>
Excellent analytical, problem-solving, and communication skills.</li></ul></div>

AI Engineer (Mid-Level)

Boeing

<div><p>Riyadh, Riyadh Region</p>
Job ID JR2026508130 Category Business Support Services Role Type Onsite Post Date May 05, 2026<p></p><div><br>
</div><div><p><b>Job Description</b></p><p>
At Boeing, we innovate and collaborate to make the world a better place. We&rsquo;re committed to fostering an environment for every teammate that&rsquo;s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.</p><p>
As the advanced central research and development organization of The Boeing Company, Boeing Engineering &amp; Technology Innovation (BE&amp;TI) provides innovative technologies that enable the development of future aerospace solutions while improving the cycle time, cost, quality and performance of existing Boeing products and services.</p><p>
Employees work in a dynamic and distributed environment where the initiative and contribution of each team member is critical to success. The ideal candidate will be able to work independently and as part of a distributed (and international) team.</p><p>
Location: Boeing Saudi Arabia, Riyadh, Saudi Arabia</p><p>
Primary Responsibilities:</p><p>
This is an Artificial Intelligence Engineer role. Your duties will include (but not limited to):</p><ul><li>Apply machine learning, AI, and data mining to different type of data collected from tasks and domains such as manufacturing, sensors, images, and video data</li><li>Adapt and integrate various software packages into workable prototypes</li><li>Design, apply, and create algorithms, methods, and tools addressing project requirements</li><li>Participate in the software development and machine learning development processes</li><li>Evaluate performance of algorithms as well as general ability to select and apply algorithms to meet application requirements with respect to scalability</li><li>Collect, organize, synthesize, and analyze data; summarize findings; develop conclusions and recommendations</li><li>Include the ability to integrate application components and databases across computing platforms</li><li>Provide solutions to a variety of technical problems of moderate scope and complexity</li><li>Work under general supervision, and no instructions are needed for routine work</li><li>Leverage knowledge of Artificial Intelligence approaches and techniques</li><li>Effectively communicate results to teammates and customers</li><li>Demonstrate an interest in personal learning and development</li><li>Seek feedback from multiple sources to improve and develop</li></ul><p>
Basic Qualifications (Required Skills/Experience):</p><ul><li>Experience developing and deploying software programs</li><li>Experience developing and evaluating learned models</li><li>Experience preparing data to create learned models</li><li>Experience with scripting languages for prototyping such as Python</li><li>Experience with high level programming languages such a C++, C, Java</li></ul><p>
Preferred Qualifications (Desired Skills/Experience):</p><ul><li>Bachelor's degree or higher in Computer Science or similar</li><li>Experience with software frameworks such as Robot Operating System (ROS)</li><li>Experience with Linux OS</li><li>Experience with machine learning libraries, such as PyTorch.</li><li>Experience with machine learning techniques, such as Support Vector Machines, Heuristics, Neural Nets, Markov Decision</li><li>Experience with Machine Learning development and deployment pipeline, i.e. from data to model</li><li>Knowledge of data structure, numerical optimization and algorithm complexity</li><li>Experience with Agile methodology and repositories, such as Git</li></ul><p>
Typical Education &amp; Experience:</p><p>
Education/experience typically acquired through advanced education (e.g. Bachelor) and/or typically 2 or more years' related work experience or an equivalent combination of education and experience (e.g. Master).</p><br>
<p>
Applications for this position will be accepted until <b>May. 11, 2026</b></p><br>
<p><b>
Export Control Requirements:
</b></p><p>This is not an Export Control position.</p><p><b>
Relocation
</b></p><p>Relocation assistance is not a negotiable benefit for this position.</p><p><b>
Visa Sponsorship
</b></p><p>Employer will not sponsor applicants for employment visa status.</p><p><b>
Shift
</b></p><p>Not a Shift Worker (Saudi Arabia)</p><br>
<p><b>
Equal Opportunity Employer:</b></p><p>
We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.</p><p>
We have teams in more than 65 countries, and each person plays a role in helping us become one of the world&rsquo;s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.</p></div></div><p></p>
<br><div><h2 class="jobSectionHeader"><b>Your Benefits</b></h2>
<p>No matter where you are in life, our benefits help prepare you for the present and the future.</p>
<ul><li><div>Competitive base pay and incentive programs.</div></li>
<li><div>Industry-leading tuition assistance program pays your institution directly.</div></li>
<li><div>Resources and opportunities to grow your career.</div></li>
<li><div>Up to $10,000 match when you support your favorite nonprofit organizations.</div></li></ul></div><p></p>

Artificial Intelligence Intern

<div><p><b>Job Description:</b></p><p>
The charge of creating and developing intelligent solutions using Artificial Intelligence technologies with a focus on generative AI and data science.
</p><p></p><p>The role entails converting data into useful insights and developing AI powered applications that improve decision making and enhance operational efficiency.</p><p></p><p><b>
Tools &amp; Technologies: </b>Dataiku, Sql server, Power bi, and aws bedrock</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li>
Design, develop, train, and optimize machine learning models for real applications or use cases.</li><li>
Translate business and product requirements into scalable ML/AI solutions.</li><li>
Implement feature engineering, model selection, tuning, and evaluation techniques.</li></ul><ul><li>
Develop, and deploy ML models into production environments with high availability and performance.</li><li>
Build and maintain ML pipelines (training, validation, deployment, monitoring).</li><li>
Monitor model performance, data drift, and model decay; retrain models as needed.</li><li>
Ensure models meet reliability, scalability, and security standards.</li><li>
Work closely with Data Scientists, Product Managers, and Software Engineers.</li><li>
Collaborate with data engineering teams to ensure high-quality, reliable data pipelines.</li><li>
Participate in design and code reviews, ensuring engineering best practices.</li><li>
Optimize models for latency, throughput, and cost.</li><li>
Implement experimentation frameworks (A/B testing, offline evaluation).</li><li>
Apply responsible AI principles, including fairness, explainability, and governance where required.</li></ul><p></p><b><br>
Requirements</b><p><b><br>
Requirements &amp; Qualifications</b>:</p><ul><li>
+4 years of hands-on experience in Machine Learning or applied AI roles.</li><li>
Strong programming skills in Python (and/or Java, Scala).</li><li>
Solid understanding of ML algorithms (supervised, unsupervised, deep learning).</li><li>
Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn.</li><li>
Experience deploying models using Docker, Kubernetes, or cloud ML services.</li><li>
Strong knowledge of data structures, algorithms, and software engineering principles.</li><li>
Experience working in agile, cross-functional teams.</li><li>
Experience with cloud platforms (AWS, Azure, or GCP) and managed ML services.</li><li>
Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Azure ML).</li><li>
Experience with big data technologies (Spark, Kafka, Databricks).</li><li>
Background in NLP, Computer Vision, or Generative AI.</li><li>
Strong problem-solving and analytical thinking</li><li>
Production-first mindset</li><li>
Data-driven decision making</li><li>
High Collaboration and communication skills</li></ul></div>

AI Developer

Projecttech

<div><div><div><div><p><b>Location :</b> Riyadh, Saudi Arabia
<br>
<b>Industry:</b> Artificial Intelligence / Digital Solutions</p>
<p><b>Availability:</b> Immediate</p>
<p><b>Role Overview :
</b></p><p>We are looking for a Senior VoIP &amp; Network Engineer to design, deploy and operate the telephony backbone of an AI-driven voice platform.
<br>
The role focuses on enabling seamless interaction between customer telephony infrastructures and conversational AI systems, ensuring reliability, call quality and scalability across diverse environments.</p>
<p>This position requires a rare combination of <b>deep VoIP expertise and strong network engineering fundamentals</b>, with hands-on involvement in complex, real-world deployments.</p><br>
<p></p><p><b>Main Responsibilities</b></p>
<p><b>Voice Platform Connectivity</b></p>
<ul><li>Establish and manage SIP connectivity between AI voice services and customer telephony environments.</li>
<li>Design call flows supporting inbound, outbound and transferred calls across multiple systems.</li>
<li>Ensure uninterrupted interaction between AI agents and external callers.</li>
</ul><p><b>PBX System Integration</b></p>
<ul><li>Connect AI voice services to a wide range of PBX solutions, including both modern software-based platforms and legacy hardware systems.</li>
<li>Adapt integrations to heterogeneous customer environments, often lacking standardization or up-to-date documentation.</li>
</ul><p><b>Network Enablement for Voice Traffic</b></p>
<ul><li>Configure and troubleshoot network components to allow secure and stable SIP and RTP communication.</li>
<li>Address NAT traversal, firewall policies, port management and VPN connectivity.</li>
<li>Apply traffic prioritization mechanisms to preserve voice quality under load.</li>
</ul><p><b>Advanced Troubleshooting</b></p>
<ul><li>Perform low-level analysis of signaling and media traffic to identify complex voice issues.</li>
<li>Isolate and resolve audio degradation, call drops, registration failures and interoperability problems.</li>
<li>Determine whether issues originate from network infrastructure, PBX configuration or service provider layers.</li>
</ul><p><b>Voice Quality &amp; Performance Optimization</b></p>
<ul><li>Adjust codecs, buffers and media parameters to improve audio clarity and stability.</li>
<li>Monitor call performance indicators and continuously improve end-user experience.</li>
<li>Recommend technical changes to customer systems to meet platform performance standards.</li>
</ul><p><b>Knowledge Structuring &amp; Reusability</b></p>
<ul><li>Build reusable technical configurations and onboarding models for common PBX and SIP scenarios.</li>
<li>Formalize integration patterns to accelerate future deployments.</li>
<li>Produce clear internal documentation and troubleshooting references.</li>
</ul></div><div><div><div><div><b>Job Category: </b>Artificial Intelligence Digital Solutions
</div><div><b>Job Type: </b>Engineering
</div><div><b>Job Location: </b>Riyadh Saudi Arabia</div></div></div></div></div></div></div><p></p>

Senior VoIP & Network Engineer (SIP/PBX Integration)(J26-58)

Tamara

<p></p><div><p><b>Why Tamara?</b></p>
<p>
We&rsquo;re proud to be Saudi&rsquo;s first FinTech unicorn.</p>
<p>
Our mission is to help people own their dreams by building the most customer-centric financial super app in the world. &amp; There is no playbook for that; our Tamarians are writing it. Our teams are made up of innovators, problem-solvers, and learners we thrive on curiosity and collaboration. If this sounds like you: curious, driven, and ready to build, we&rsquo;d love to meet you<br>
<br>
Apply now and join the next generation of Builders!<br>
<br>
</p><p><b>About Tamara's Builders Program</b><br>
<br>
At Tamara, we believe exceptional talent deserves an exceptional launchpad.<br>
<br>
Our Flagship Builders Program is designed for ambitious graduates ready to step into real responsibility from day one. This isn&rsquo;t a rotational &ldquo;observer&rdquo; program, it&rsquo;s a career accelerator built for those who want to build, own, and raise the bar early.<br>
Designed for recent graduates and early-career talent with up to two years of experience, the program places you directly into high-impact roles across Product, Engineering, Design, and beyond. You&rsquo;ll contribute immediately and grow at an accelerated pace.<br>
From Product to Engineering, Design to Commercial, you&rsquo;ll tackle meaningful challenges that shape how millions experience fintech across the region. You&rsquo;ll be trusted with ownership, surrounded by high-caliber peers, and mentored by leaders who expect excellence.
<br>
<br>
Our January and June cohorts are your opportunity to move fast, think big, and start building what&rsquo;s next - not someday, but now.</p><br>
<p><b>
About the role</b></p>
<p>
We&rsquo;re looking for a fresh graduate or early-career <b>AI Engineer</b> on a builder track.</p>
<p>
This role sits between software engineering and applied AI. You will build AI-powered features end-to-end: from turning a product problem into an AI approach, to building pipelines and evaluation, to shipping reliable services in production.</p>
<p>
You&rsquo;ll work with both <b>classical ML</b> and <b>generative AI</b> (LLMs, RAG, agents) where they make sense. With the rapid pace of AI, we care more about fundamentals than buzzwords. Use AI assistants to move faster, but always own correctness, privacy, safety, and user impact.</p>
<p><b>
Your responsibilities</b></p>
<ul>
<li><b>Build AI products that ship</b>
<ul><li>Design and implement AI-powered features and internal tools.</li>
<li>Integrate models into real systems (APIs, workflows, dashboards, and operational processes).</li>
</ul></li><li><b>Work with LLMs in a production-ready way</b>
<ul><li>Build retrieval-augmented generation (RAG) pipelines: data sourcing, chunking, embeddings, retrieval, and prompt templates.</li>
<li>Build agent-style workflows when needed (tool use, guardrails, and deterministic fallbacks).</li>
</ul></li><li><b>Own evaluation and quality</b>
<ul><li>Define what &ldquo;good&rdquo; means: success metrics, offline tests, and human-in-the-loop review.</li>
<li>Set up evaluations for quality, safety, latency, and cost.</li>
</ul></li><li><b>Make AI reliable and safe</b>
<ul><li>Add observability: logging, tracing, and monitoring for quality regressions.</li>
<li>Implement privacy and security controls (PII handling, access control, redaction where needed).</li>
<li>Participate in incident response and postmortems when AI systems misbehave.</li>
</ul></li><li><b>Partner across teams</b>
<ul><li>Work with product, data, design, and engineering stakeholders to translate messy problems into measurable solutions.</li>
<li>Collaborate with platform teams to use existing data pipelines, event streams, and AI tooling responsibly.</li>
</ul></li><li><b>Use AI tools thoughtfully</b>
<ul><li>Use AI assistants for prototyping, debugging, and documentation.</li>
<li>Validate outputs, document assumptions, and protect sensitive data.</li>
</ul>
</li></ul><p><b>Your expertise (must have)</b></p>
<ul>
<li>Fresh graduate or <b>&lt; 1 year</b> of relevant experience (internships and projects count).</li>
<li>Solid programming fundamentals in <b>Python</b> (preferred) or another language used for backend services.</li>
<li>Strong foundations in:
<ul><li>Software engineering basics (APIs, testing, reliability)</li>
<li>Data handling (SQL and/or dataframes)</li>
<li>ML/AI fundamentals (training vs. inference, evaluation, overfitting intuition)</li>
</ul></li><li>Clear communication and a collaborative approach.</li>
</ul>
<p><b>Nice to have</b></p>
<ul>
<li>Hands-on experience with LLMs and/or RAG from projects (LangChain/LlamaIndex or similar patterns).</li>
<li>Familiarity with model serving and deployment (REST/gRPC services, batch jobs, streaming consumers).</li>
<li>Exposure to MLOps concepts (experiment tracking, model registry, monitoring).</li>
<li>Familiarity with vector databases, search, or information retrieval.</li>
<li>Understanding of responsible AI, privacy, and security (PII handling, access control, prompt injection awareness).</li>
<li>Experience using AI assistants responsibly for coding and analysis.</li>
</ul>
<p><b>What success looks like</b></p>
<ul>
<li>You ship at least one AI feature or internal tool that is used by real users.</li>
<li>You set up a simple evaluation and monitoring loop so the system improves over time.</li>
<li>Your solutions balance quality, latency, and cost, with clear tradeoffs.</li>
<li>When the AI output is wrong or risky, you can debug, mitigate, and explain why.</li>
</ul>
<p>All qualified individuals are encouraged to apply.</p></div><p></p>

Associate AI Engineer - Builders Program

<div><p>Master Works is seeking an AI Engineer with strong generative AI prototyping experience to rapidly turn ideas into working AI-powered demos, proofs of concept, and early-stage products. The role sits between research and production engineering &mdash; combining hands-on use of large language models, multimodal models, retrieval-augmented generation, and agent frameworks to validate feasibility, explore new capabilities, and de-risk feature delivery. The role is central to accelerating AI innovation across the data, analytics, and intelligence portfolio, with a particular emphasis on bilingual (Arabic/English) AI use cases.</p><ul><li>
Rapidly design and build generative-AI prototypes and proofs of concept &mdash; from initial idea to working demo &mdash; using modern LLM APIs, open-source models, and prototyping frameworks.</li><li>
Design and implement retrieval-augmented generation (RAG) pipelines, including document ingestion, chunking strategies, embedding generation, vector storage, and retrieval orchestration.</li><li>
Build agentic systems that use tool/function calling, planning, and multi-step reasoning to automate complex tasks; integrate AI agents with internal APIs, databases, and external services.</li><li>
Engineer prompts, system instructions, and structured-output schemas; iterate on prompt design through measurable evaluation rather than guesswork.</li><li>
Work with multimodal AI capabilities &mdash; text, vision, speech (STT/TTS), and document understanding &mdash; and combine them into coherent end-to-end AI pipelines.</li><li>
Build and run AI evaluation frameworks (offline benchmarks, LLM-as-judge, golden-set regression testing) to measure quality, accuracy, latency, and cost across model and prompt variants.</li><li>
Adapt and fine-tune open-source models (LoRA, QLoRA, full fine-tuning) when proprietary or domain-specific behaviour is required, especially for Arabic-language tasks.</li><li>
Apply responsible-AI practices &mdash; safety filtering, hallucination mitigation, prompt-injection defence, PII handling, and bias awareness &mdash; especially for sensitive or regulated environments.</li><li>
Hand off mature prototypes to production engineering teams, providing clear documentation, evaluation results, deployment notes, and migration guidance.</li><li>
Demo prototypes and AI capabilities to internal stakeholders and clients; explain technical concepts, limitations, and risks to non-technical audiences.</li><li>
Track and evaluate fast-moving developments in the generative-AI ecosystem (new models, tools, techniques, and providers) and recommend adoption where they materially improve outcomes.</li><li>
Collaborate cross-functionally with product, design, data, and software engineering teams to shape AI features end-to-end and ensure they deliver real user value.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related discipline.
</li><li>Postgraduate qualification (MSc/PhD) in Machine Learning, Artificial Intelligence, Natural Language Processing, or a related field is preferred.</li><li>
Recognised certifications in machine learning, deep learning, generative AI, or cloud AI platforms (AWS, Azure, GCP) are a strong plus.</li><li>
3&ndash;5+ years of AI/ML engineering experience, with at least 1&ndash;2 years hands-on building generative-AI applications using modern LLMs.</li><li>
Demonstrable portfolio of shipped prototypes or production AI features &mdash; ideally including RAG systems, AI agents, or multimodal pipelines.</li><li>
Hands-on experience with leading LLM APIs (e.g., Anthropic Claude, OpenAI GPT, Google Gemini) and open-source model serving (e.g., Hugging Face, vLLM, Ollama).</li><li>
Strong Python proficiency, including modern AI libraries such as PyTorch, Hugging Face Transformers, LangChain or LlamaIndex, and standard data tooling.</li><li>
Working experience with embedding models, vector databases (e.g., Pinecone, Weaviate, Qdrant, FAISS), and retrieval evaluation techniques.</li><li>
Familiarity with rapid-prototyping tools (Streamlit, Gradio, Jupyter), API integration, and lightweight web back-ends.</li><li>
Experience designing AI evaluation harnesses (offline benchmarks, LLM-as-judge, golden sets) and using observability/tracing tools for AI systems.</li></ul><ul><li>
Exposure to fine-tuning techniques (LoRA, QLoRA, instruction tuning) and to Arabic-language NLP is strongly preferred.</li><li>
Working knowledge of containerisation (Docker), version control (Git), and cloud AI platforms (AWS Bedrock, Azure OpenAI, GCP Vertex AI) is a strong plus.</li><li>
Excellent leadership and team development skills.</li><li>
Strong bias for action and a rapid-prototyping mindset; able to ship a working demo in days, not months.</li><li>
Comfortable working under uncertainty &mdash; rapidly forming hypotheses, running experiments, and iterating based on evidence.</li><li>
Strong analytical and problem-solving skills, with the discipline to evaluate AI behaviour quantitatively rather than relying on intuition alone.</li><li>
Excellent verbal and written communication, with the ability to demo AI capabilities and explain technical concepts, limitations, and risks to non-technical audiences.</li><li>
Curiosity and continuous-learning mindset; actively follows the rapidly evolving generative-AI landscape and brings new ideas back to the team.</li><li>
Collaborative team player; comfortable in cross-functional teams of researchers, software engineers, designers, and client business owners.</li><li>
Cultural awareness and sensitivity, particularly when designing AI experiences for Arabic-speaking users in regional contexts.</li></ul></div>

AI Engineer

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