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Nexus Analytica

Job Overview Nexus Analytica, a leading provider of consultancy and digital solutions in the energy sector, is seeking a motivated and detail-oriented Full-Stack QA Engineer (Manual &amp; Automation) to join our growing team. This full-time position is based in our Cairo, Egypt office. The ideal candidate will be passionate about ensuring software quality and will play a crucial role in our development lifecycle, from refining requirements to final deployment. You will be responsible for testing across our entire technology stack, combining both manual and automated strategies to deliver robust and reliable solutions to our clients. Salary: EGP 25,000 - EGP 40,000 per month Responsibilities * Develop, document, and execute comprehensive test plans and test cases to ensure software quality. * Design, implement, and maintain automated test scripts for regression and performance testing. * Perform thorough manual testing for new features, bug fixes, and user interfaces. * Identify, record, and meticulously track defects through to resolution using bug tracking systems. * Conduct various testing types, including functional, integration, regression, and user acceptance testing. * Collaborate closely with developers, product managers, and other stakeholders to understand requirements and ensure a high-quality end product. * Participate actively in agile development processes, providing valuable input during planning and review stages. * Analyse test results and generate detailed reports on software quality and system performance. Qualifications * Proven professional experience as a Quality Assurance Engineer with a strong background in both manual and automation testing. * Solid experience with automated testing frameworks and tools such as Selenium, Cypress, or Playwright. * Proficiency in at least one scripting or programming language (e.g., Python, JavaScript, Java). * Experience with API testing tools like Postman or Insomnia. * A strong understanding of the software development lifecycle (SDLC) and agile methodologies. * Familiarity with CI/CD pipelines and version control systems like Git. * Excellent analytical and problem-solving skills with an exceptional attention to detail. * Strong written and verbal communication skills in English. * A degree in Computer Science, Engineering, or a related field is preferred but not essential. Benefits * A competitive salary package and benefits. * Opportunities for continuous professional development and career progression. * A collaborative, supportive, and innovative work environment. * The opportunity to work on challenging and impactful projects within the dynamic energy sector.

Full-Stack QA Engineer (Manual & Automation)

Qureos

<h2>Backend Engineer — AI &amp; Data Infrastructure</h2>&nbsp;We are looking for a Backend Engineer to build the AI and data infrastructure powering our next-generation talent and evaluation platform. You will work on data modeling, embeddings, feature extraction, pipeline creation, and serving AI-powered insights at scale. &nbsp;This is a hands-on engineering role focused on scalable AI infrastructure — not research or prototyping. You will collaborate closely with engineering and product teams to design systems that process structured and unstructured data, generate semantic representations, and expose intelligence through reliable APIs. &nbsp;<h2>Responsibilities &nbsp;</h2><h3>AI &amp; Data Infrastructure &nbsp;</h3><ul><li>Design and maintain data models for structured and unstructured data</li><li>Build data ingestion and processing pipelines</li><li>Implement embedding pipelines and vector search systems</li><li>Develop feature extraction logic using LLMs and smaller models</li><li>Optimize for accuracy, latency, and cost &nbsp;</li></ul><h3>Platform Engineering &nbsp;</h3><ul><li>Design and implement backend services that expose AI-driven insights</li><li>Maintain versioning, evaluation checks, and health monitoring for AI outputs</li><li>Optimize performance, caching, and retrieval logic for semantic data</li><li>Collaborate with engineers to ensure data consistency and reliability &nbsp;</li></ul><h3>Model Integration &nbsp;</h3><ul><li>Integrate LLM APIs, embedding models, and small language models</li><li>Build evaluation harnesses to validate extraction quality</li><li>Monitor drift, degradation, and inconsistencies over time &nbsp;</li></ul><h3>General &nbsp;</h3><ul><li>Write maintainable backend code (Node.js / Python / Go)</li><li>Work cross-functionally with product and engineering teams</li><li>Ensure AI systems are robust, observable, and production-ready &nbsp;</li></ul><h2>Required Skills &nbsp;</h2><ul><li>Strong backend engineering experience</li><li>Experience designing or maintaining data pipelines</li><li>Practical experience with embeddings and vector databases</li><li>Familiarity with LLM application patterns (prompting, extraction, RAG)</li><li>Strong SQL and NoSQL fundamentals</li><li>Ability to design scalable APIs</li><li>Understanding of evaluation metrics for AI systems &nbsp;</li></ul><h2>Nice to Have &nbsp;</h2><ul><li>Experience with LangChain or LlamaIndex</li><li>Experience with smaller open-source models (Llama, Qwen, Mistral, etc.)</li><li>Experience with ETL frameworks (Airflow, Dagster, Temporal)</li><li>Interest in skills-based matching or intelligence systems (optional) &nbsp;</li></ul><h2>Success Indicators &nbsp;</h2><ul><li>AI pipelines are stable, observable, and scalable</li><li>Data processing is efficient and correct</li><li>API services return reliable and consistent insights</li><li>Embedding systems improve retrieval quality over time</li></ul>

AI Data Platform Engineer

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Full-Stack QA Engineer (Manual & Automation)

AI Data Platform Engineer