software engineer

TAWANTECH

<div><p><b>Job Summary</b></p><p>
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.</p><p></p><p><b>
Key Responsibilities</b></p><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><b><br>
Requirements</b><ul><li><br>
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><p></p><p><b>
Preferred Qualifications</b></p><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

McKinsey & Company

<div><div><div><div><div><div><div>Job ID: 108198</div></div></div></div><div></div><div><ul><div>
Riyadh</div></ul></div><div></div><div><div><div><br>
</div></div></div></div><div><p>
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You&rsquo;ve come to the right place.</p><div><p>
YOUR IMPACT</p><div><div><p>
As a Principal Engineer I, you will lead development teams to design and deliver enterprise-grade software solutions while shaping clients' tech strategies and mentoring their teams.</p><p></p><p>
Your role offers the opportunity to work across industries, influence C-level decisions, and become a leading expert in cutting-edge technologies. You will work hands-on to architect, design, and deliver enterprise-grade software solutions while mentoring client teams to adopt best practices.</p><p></p><p>
Your role will involve leading multiple development teams, defining short- and long-term technology strategies, and partnering with cross-functional teams to solve complex business challenges. You will also establish metrics and KPIs to drive alignment and ensure the success of engineering-powered solutions.</p><p></p><p>
Your work will help clients achieve their goals while shaping their technological ecosystems and engineering cultures. By working directly with C-level leaders, you will influence strategic decisions and deliver impact beyond the products you build. You&rsquo;ll also work across a variety of industries and technologies, gaining new insights and expertise with every project.</p><p></p><p>
You will lead the design and delivery of innovative technology solutions that transform businesses across industries. Based in one of our global locations, you will be part of a multidisciplinary group of software engineers, Agile coaches, designers, and technologists passionate about creating industry-shaping products and tools.</p><p></p><p>
Your role offers unparalleled opportunities for growth and impact. At McKinsey, you&rsquo;ll have access to C-level leaders eager to hear your expertise, the chance to work on diverse projects, and the resources to become a leading expert in your field. Supported by a collaborative and innovative team, you&rsquo;ll make a lasting impact on clients, industries, and the future of technology.</p></div></div></div><div><p>
YOUR GROWTH</p><div><p>
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.</p><p></p><p>
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.</p><p></p><p>
When you join us, you will have:</p><p></p><div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div></div></div></div></div><div><div><div><p>
YOUR QUALIFICATIONS AND SKILLS</p><div><div><div><ul><p>
Undergraduate or master&rsquo;s degree; or equivalent experience</p><p>
8+ years of experience in software development and architecture with a demonstrated track record of successfully understanding the business requirements and designing realistic and effective solutions</p><p>
Active in the tech community (e.g. contributing to open-source projects, speaking at conferences, blogging, etc.) and experience working collaboratively with technical and non-technical team members and stakeholders</p><p>
Demonstrated knowledge and hands-on experience across the full application stack with some of the following languages/frameworks: JavaScript, TypeScript, React, Angular, Vue, jQuery, Java, Sprint, C#, .NET, Node.js, SQL, MySQL, SQL Server, MongoDB, cloud-native databases, AWS, Azure, GCP, Jenkins, Docker, Circle CI, Travis Engineering practice experience such as code refactoring, design patterns, design-driven development, continuous integration, building highly scalable applications, application security</p><p>
Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities</p><p>
Experience writing unit tests with major frameworks (e.g., Karma, JUnit, NUnit, MSTest) and practicing test-driven development</p><p>
Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment</p><p>
Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels</p></ul></div></div></div></div></div></div><div><div><div><div>
Please review the additional requirements regarding essential job functions of McKinsey colleagues.</div>
<div>Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.</div></div></div></div></div>

Principal Software Engineer - QuantumBlack, AI by McKinsey

MASTER-WORKS

<p></p><div><p>Our subsidiary (Nabeh) is seeking for an experienced and highly skilled <b>Software Testing, Junior Engineer. </b>Responsible for supporting QA activities by executing test cases, identifying defects, and ensuring adherence to defined quality standards under supervision.</p><p><b>
Key Responsibilities</b></p><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><p><b>
Requirements</b></p><ul><li>
1&ndash;3 years of experience</li><li>
Arabic Speaker (<b>Mandatory</b>)</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><p>
Certifications</p><ul><li>
ISTQB CTFL (<b>Mandatory</b>)</li></ul><p>
Language</p><ul><li>
Arabic (Native) &amp; English (Fluent)</li></ul><p></p><p><b>
Job Location: HQ</b></p></div>

Software Testing, Junior Engineer

Talent 360

<div><p><b>About Us</b></p><p><br>
We are building the next-generation Office of the CFO that simplifies finance for all businesses.</p><p><br>
SiFi is a corporate expense management platform designed to empower accounting teams with seamless control over corporate spending. Our platform allows companies to issue cards with specific spending restrictions, ensuring funds are used efficiently and only for approved expenses.</p><p><br>
As we scale, trusted data becomes core infrastructure powering financial correctness, operational visibility, and AI-powered automation.</p><p><b><br>
About the Role</b></p><p><br>
We are looking for a Senior Data Engineer to help define and scale the foundation of SiFi&rsquo;s data platform.</p><p><br>
You will be part of the Data &amp; AI team and serve as a key partner to Finance, Product, Engineering, Operations, and Compliance. Your primary responsibility will be to design and own our data platform, modeling standards, and AI-ready infrastructure, ensuring that metrics are accurate, scalable, and trusted across the organization.</p><p><br>
This is a high-ownership role focused on building financial data infrastructure from first principles.</p><p><br>
This role is based in Saudi Arabia (Relocation).</p><p><b><br>
What You Will Own</b></p><p><b><br>
Data Modeling and Standards</b></p><br>
<ul><li>
Define and maintain scalable data models in SQL<br>
</li><li>
Establish structured warehouse layers and modeling best practices<br>
</li><li>
Own KPI definitions and ensure a single source of truth<br>
</li><li>
Ensure financial correctness and metric consistency</li></ul><p><b><br>
Warehouse Architecture</b></p><br>
<ul><li>
Design and evolve our cloud data warehouse in BigQuery<br>
</li><li>
Own transformation workflows using dbt, SQLMesh, or similar tools<br>
</li><li>
Optimize performance, reliability, and cost<br>
</li><li>
Design and support production-grade AI/ML pipelines ensuring model performance, data integrity, and compliance.</li></ul><p><b><br>
Reliability and Governance</b></p><br>
<ul><li>
Ensure data quality, integrity, and observability<br>
</li><li>
Implement access controls aligned with compliance requirements<br>
</li><li>
Build a scalable foundation ready for advanced analytics and AI</li></ul><p><b><br>
Cross-Functional Impact</b></p><br>
<ul><li>
Translate business requirements into robust data systems<br>
</li><li>
Enable trusted reporting and BI across teams<br>
</li><li>
Support experimentation and AI-driven initiatives with well-structured datasets</li></ul><br>
<b>
Requirements</b><p><b><br>
What We Are Looking For</b></p><br>
<ul><li>
5+ years of experience in Data Engineering or Analytics Engineering<br>
</li><li>
Strong SQL expertise with hands-on data modeling experience<br>
</li><li>
Experience with cloud data warehouses such as BigQuery<br>
</li><li>
Experience with modern transformation frameworks such as dbt or SQLMesh<br>
</li><li>
Experience building or supporting production-grade AI/ML pipelines is a strong plus<br>
</li><li>
Ability to operate independently in a fast-moving startup<br>
</li><li>
Operates with high agency, taking end-to-end ownership of complex problems and delivering outcomes</li></ul></div>

Senior AI Data Engineer

Adree

<div><p>Adree is looking for a Security Engineer to support our product development and engineering initiatives by leveraging deep application security and analytical expertise to articulate the value of secure, compliant digital solutions. In this role, you will work closely with stakeholders to understand technical requirements and business goals, and clearly demonstrate how enforceable security gates and robust vulnerability lifecycle management can address their needs.</p><p>
You will be responsible for bridging the gap between security compliance and rapid delivery execution, collaborating across teams to operationalize automated security controls throughout the SDLC. By blending secrets management, automated scanning pipelines, and artifact trust mechanisms, you will ensure our digital products are highly secure, resilient, and fully audit-ready.</p><p><b>
Key Responsibilities:</b></p><ul><li>
Engage with clients and stakeholders to gather security requirements and understand their digital transformation and compliance goals</li><li>
Deliver impactful presentations, security dashboards, and reporting frameworks showcasing vulnerability triage, remediation tracking, and pipeline safety metrics</li><li>
Support the engineering and DevOps teams in configuring and tuning Fortify SAST/DAST, establishing clear thresholds, and governing exception workflows</li><li>
Provide technical insights and application security expertise throughout the product lifecycle to automate SSL/TLS certificate renewals using HashiCorp Vault and Cert-Manager in Kubernetes</li><li>
Collaborate with cross-functional teams (including DevOps and QA) to build secure pipelines, manage test environment controls, and enforce software supply chain visibility via SBOM integration</li><li>
Stay current with industry trends, OWASP frameworks, container security concepts, and threat modeling to position solution security effectively</li><li>
Conduct workshops and technical triage sessions internally and with clients to define Quality Gates, vulnerability SLAs, and secure secrets management patterns with SecurEnvoy MFA</li><li>
Participate in Agile development processes and release alignments, producing required compliance evidence, scan outputs, approvals, and comprehensive release evidence packs</li></ul><p></p><b><br>
Requirements</b><p><b><br>
Education</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Cyber Security, Software Engineering, or a related technical field.</li></ul><p><b>
Experience</b></p><ul><li>
4+ years of professional experience in Application Security (AppSec), DevSecOps, or Security Engineering.</li><li>
Proven experience operationalizing enforceable security gates within CI/CD pipelines, preferably using Azure DevOps Server.</li><li>
Demonstrated experience with threat modeling, vulnerability management, and operating within government or highly regulated enterprise sectors is a strong plus.</li></ul><p><b>
Skills &amp; Competencies (Technical &amp; Analytical + Soft)</b></p><ul><li>
Deep proficiency in Secure SDLC principles, OWASP Top 10, container security concepts, and Kubernetes/OpenShift security basics.</li><li>
Strong hands-on experience implementing image signing/verification (Sigstore/Cosign) and artifacts lifecycle security via JFrog Artifactory.</li><li>
Analytical skills to correlate security logs and monitoring alerts with enterprise platforms like AppDynamics, BMC, or Azure Monitoring.</li><li>
Excellent soft skills with an ability to influence without authority, deliver pragmatic risk-based guidance, and handle security escalations calmly.</li><li>
Strong collaboration, structured reporting, and cross-functional engineering alignment.</li></ul><p><b>
Experience (summary)</b></p><ul><li>
Operationalization of automated DevSecOps security gates across CI/CD pipelines</li><li>
Vulnerability lifecycle management including triage, SLA tracking, and remediation</li><li>
Automated software supply chain security (SBOM generation &amp; container image signing)</li><li>
Secrets management integration and automated infrastructure certificate management</li><li>
Application security scanning optimization across SAST and DAST frameworks</li><li>
Regulatory compliance evidence gathering and release package auditing</li></ul><p><b>
Skills &amp; Competencies (summary)</b></p><ul><li>
Azure DevOps Server &amp; JFrog Artifactory secure workflow management</li><li>
Fortify SAST/DAST tuning &amp; exception workflow design</li><li>
HashiCorp Vault secrets management &amp; Cert-Manager infrastructure</li><li>
Container &amp; cluster security principles (Kubernetes / Red Hat OpenShift)</li><li>
Multi-factor authentication access patterns (SecurEnvoy MFA)</li><li>
Stakeholder relationship management &amp; security governance</li><li>
Prioritization, risk-based communication, and teamwork</li><li>
Travel for client-facing activities</li></ul><p></p><p><b>
Job location: HQ</b></p></div>

Security Engineer, Specialist

<div>Job Summary<p>
We are seeking a highly skilled and motivated Senior Data Engineer to design, develop, and optimize scalable data platforms and pipelines within the banking and financial services domain. The ideal candidate will have strong expertise in Python, SQL, big data technologies, and cloud-based data ecosystems. You will be responsible for building robust, secure, and scalable data solutions that support regulatory reporting, risk management, customer analytics, and business intelligence initiatives.</p>
Key Responsibilities<ul><li>
Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of banking and financial data.</li><li>
Build and optimize data workflows using Apache Spark and Apache Airflow.</li><li>
Design and implement Data Warehouse and Data Lake architectures to support enterprise banking analytics and reporting requirements.</li><li>
Develop and maintain high-performance data models for transactional, customer, risk, and regulatory data.</li><li>
Collaborate with business stakeholders, data analysts, risk teams, and compliance teams to deliver data-driven solutions.</li><li>
Ensure data quality, governance, security, and regulatory compliance across data platforms.</li><li>
Implement monitoring, troubleshooting, and performance tuning for data pipelines and processing frameworks.</li><li>
Leverage cloud platforms or Cloudera ecosystem technologies to build and manage modern data infrastructure.</li><li>
Drive CI/CD implementation and DataOps best practices to improve deployment efficiency and operational reliability.</li><li>
Support regulatory reporting, audit requirements, and data lineage initiatives.</li><li>
Mentor junior engineers and contribute to technical architecture and best practices.</li></ul><br>
<b>
Requirements</b><br>
<br>
Required Qualifications<ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li><li>
4+ years of hands-on experience in Data Engineering.</li><li>
Strong programming skills in Python and advanced SQL.</li><li>
Experience with Apache Spark for large-scale data processing.</li><li>
Experience with Apache Airflow for workflow orchestration and scheduling.</li><li>
Solid understanding of Data Warehouse and Data Lake architectures.</li><li>
Proven experience building and maintaining ETL/ELT pipelines.</li><li>
Experience working with cloud platforms (AWS, Azure, or GCP) or the Cloudera ecosystem.</li><li>
Strong knowledge of data modeling techniques and performance optimization strategies.</li><li>
Experience implementing CI/CD pipelines and DataOps methodologies.</li><li>
Banking or Financial Services domain experience with exposure to financial data, regulatory reporting, risk, compliance, or customer analytics.</li><li>
Excellent problem-solving, analytical, and communication skills.</li></ul>
Preferred Qualifications<ul><li>
Experience with banking data domains such as Core Banking, Payments, Lending, Treasury, Risk, AML, KYC, or Regulatory Reporting.</li><li>
Knowledge of financial data governance, security, and compliance standards.</li><li>
Experience with real-time and batch data processing in highly regulated environments.</li><li>
Familiarity with containerization technologies such as Docker and Kubernetes.</li><li>
Experience with data lineage, metadata management, and data quality frameworks.</li></ul></div>

Senior Data Engineer

JODAYN

<div><p>Jodayn is seeking a highly skilled Senior AI Product Engineer to lead the design, development, and deployment of enterprise-grade artificial intelligence solutions and intelligent automation platforms.</p><p>
The successful candidate will play a critical role in developing scalable AI-powered products and reusable enterprise AI services that support digital transformation, governance automation, proposal evaluation, intelligent document processing, and enterprise workflow optimisation.</p><p>
This role requires a strong engineering mindset combined with hands-on experience in modern AI frameworks, large language model integration, AI orchestration, backend engineering, and enterprise solution development.</p><p>
The ideal candidate must be capable of independently designing and delivering production-ready AI systems in fast-paced enterprise environments.</p><b><br>
Requirements</b><p><br>
AI Platform Engineering</p><ul><li>
Design, develop, and maintain scalable enterprise AI platforms and intelligent automation solutions</li><li>
Build modular and reusable AI services and APIs</li><li>
Develop AI-powered workflow automation systems and intelligent orchestration pipelines</li><li>
Design and implement scalable backend architectures supporting AI workloads</li></ul><p></p><p>
Agentic AI Development</p><ul><li>
Build autonomous and semi-autonomous AI agents</li><li>
Develop multi-agent orchestration workflows and task delegation systems</li><li>
Implement memory management and contextual reasoning capabilities</li><li>
Integrate AI systems with external tools, APIs, and enterprise applications</li></ul><p></p><p>
Large Language Model Integration</p><ul><li>
Integrate and optimise large language model services including Claude, OpenAI, and open-source models</li><li>
Develop prompt orchestration pipelines and retrieval-augmented generation architectures</li><li>
Implement vector database integration and semantic search capabilities</li><li>
Optimise model performance, response quality, and operational efficiency</li></ul><p></p><p>
Enterprise System Integration</p><ul><li>
Integrate AI platforms with enterprise systems, collaboration tools, and document repositories</li><li>
Develop secure API integration patterns</li><li>
Support authentication and identity integration requirements</li><li>
Build AI-enabled enterprise workflow capabilities</li></ul><p></p><p>
Proposal &amp; Compliance Automation</p><ul><li>
Develop intelligent proposal generation and evaluation systems</li><li>
Build compliance validation and document inspection workflows</li><li>
Implement AI-assisted scoring and recommendation engines</li><li>
Support enterprise governance automation initiatives</li></ul><p></p><p>
Infrastructure &amp; Deployment</p><ul><li>
Deploy AI applications in cloud, hybrid, and on-premise environments</li><li>
Configure logging, observability, monitoring, and operational diagnostics</li><li>
Support containerisation and deployment automation practices</li><li>
Optimise infrastructure scalability and operational cost efficiency</li></ul><p></p><p><br>
Required Qualifications</p><p>
Education</p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field</li><li>
Master&rsquo;s degree is preferred but not mandatory</li></ul><p></p><p>
Experience</p><ul><li>
Minimum 7 years of software engineering experience</li><li>
Minimum 3 years practical experience developing AI-powered applications</li><li>
Proven experience building and deploying production-grade AI systems</li><li>
Experience working in enterprise or regulated environments preferred</li></ul><p></p><p>
Required Technical Skills</p><p>
Programming &amp; Backend Development</p><ul><li>
Python</li><li>
FastAPI or equivalent backend frameworks</li><li>
RESTful APIs</li><li>
PostgreSQL or equivalent databases</li><li>
Git and version control systems</li></ul><p>
AI Technologies</p><ul><li>
Claude APIs</li><li>
OpenAI APIs</li><li>
LangGraph</li><li>
LangChain</li><li>
Retrieval-Augmented Generation</li><li>
Vector databases</li><li>
Prompt orchestration</li><li>
AI workflow automation</li></ul><p>
Frontend &amp; Integration</p><ul><li>
React or Next.js</li><li>
API integration</li><li>
Authentication and access control concepts</li></ul><p>
Infrastructure &amp; DevOps</p><ul><li>
Docker</li><li>
Linux environments</li><li>
CI/CD pipelines</li><li>
Cloud deployment concepts</li></ul><p>
Preferred Skills</p><ul><li>
Experience with enterprise AI governance solutions</li><li>
Experience with intelligent document processing systems</li><li>
Experience using AI-assisted development tools</li><li>
Exposure to multi-agent systems and orchestration frameworks</li><li>
Familiarity with enterprise architecture concepts</li></ul><p></p><p><br>
Core Competencies</p><ul><li>
Strong analytical and problem-solving skills</li><li>
Ability to independently deliver complex technical solutions</li><li>
Strong software design capability</li><li>
Fast execution and delivery orientation</li><li>
Excellent communication and documentation skills</li><li>
Ability to work in fast-paced enterprise environments</li></ul></div><p></p>

Senior AI Product Engineer

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