وظائف مطورين Git في مصر
٣١٢٢٤ وظائف شاغرة
بصفتك مهندس برمجيات، ستنضم إلى فريق تعاوني متعدد الوظائف لتصميم وتطوير وصيانة تطبيقات الويب باستخدام .NET Core وReact. سيتم توجيهك من قبل مطورين ذوي خبرة، وستكتسب خبرة عملية في بناء أنظمة قابلة للتوسع وآمنة وعالية الأداء مع اتباع معايير الهندسة الحديثة.<br><br>المسؤوليات الرئيسية<br><br>المساعدة في تطوير ميزات جديدة لتطبيقات الويب والتطبيقات القائمة على الخدمات المصغرة (microservices) كتابة كود نظيف وقابل للصيانة والاختبار تحت الإشراف دعم التكامل مع واجهات برمجة تطبيقات RESTful وقواعد البيانات التعاون مع المطورين الآخرين وفرق ضمان الجودة (QA) وفرق العمليات (DevOps) طوال دورة حياة البرنامج المشاركة في مراجعات الكود والتعلم من الملاحظات لتحسين جودة الكود تطبيق المبادئ الأساسية لتصميم البرمجيات وأفضل الممارسات العمل مع تقنيات الواجهة الأمامية (React, TypeScript) والواجهة الخلفية (.NET Core, C#)<br><br>المهارات والمؤهلات المطلوبة<br><br>درجة البكالوريوس في علوم الكمبيوتر أو هندسة البرمجيات أو مجال ذي صلة خبرة مهنية لا تقل عن سنتين في تطوير البرمجيات معرفة بـ C# و .NET Core و ASP.NET Core Web API فهم أساسي لـ React و TypeScript و JavaScript (ES6+) الإلمام بـ HTML5 و CSS3 والتصميم المتجاوب فهم قواعد البيانات العلائقية وأساسيات SQL معرفة مبادئ البرمجة كائنية التوجه (OOP) الرغبة في التعلم والنمو في بيئة تعاونية مهارات جيدة في حل المشكلات والتحليل<br><br>الخبرة المفضلة<br><br>الإلمام بـ Entity Framework Core أو LINQ فهم أساسي لـ Git وسير عمل التحكم في الإصدار الوعي بمنهجيات Agile ومفاهيم دورة حياة البرمجيات التعرض لـ Docker أو خطوط أنابيب CI/CD يعتبر ميزة إضافية الاهتمام بمفاهيم الأمن وتحسين الأداء<br><br>مشغل بواسطة Jazz HR<br><br>1otx8VO3pq
بصفتك مهندس برمجيات أول، ستلعب دوراً رئيسياً في تصميم وتطوير وصيانة تطبيقات الويب الحديثة والخدمات المصغرة (Microservices) القابلة للتوسع. ستعمل عبر تقنيات الواجهة الأمامية (React, TypeScript) والخلفية (.NET Core)، مما يساهم في تحسين الأداء والأمان وقابلية الصيانة. كما ستقوم بتوجيه المطورين المبتدئين وتعزيز التميز الهندسي داخل الفريق.<br><br>المسؤوليات الرئيسية<br><br> تصميم وبناء وصيانة خدمات مصغرة وتطبيقات ويب وواجهات برمجة تطبيقات (APIs) آمنة وعالية الأداء وقابلة للتوسع تطوير ميزات وتحسينات جديدة في مكونات الواجهة الأمامية (React) والخلفية (.NET Core) كتابة كود نظيف وقابل للصيانة والاختبار وفقاً لأفضل ممارسات التطوير الحديثة (SOLID, DRY, Clean Architecture) تطبيق أنماط تصميم البرمجيات لإنشاء أنظمة معيارية وقابلة للتوسيع التكامل مع واجهات برمجة التطبيقات RESTful و gRPC، وتطوير نقاط نهاية جديدة عند الحاجة العمل مع قواعد بيانات SQL Server و PostgreSQL و MongoDB تنفيذ أنماط التخزين المؤقت (Caching) وقوائم الانتظار (Queuing) والأنظمة المعتمدة على الأحداث (Event-driven) باستخدام Redis و RabbitMQ ضمان ممارسات البرمجة الآمنة في المصادقة والتفويض وحماية البيانات التعاون مع مهندسي ضمان الجودة (QA) ومهندسي العمليات (DevOps) طوال دورة حياة تسليم البرمجيات المشاركة في مراجعات الكود والبرمجة الثنائية ومناقشات التصميم توجيه المطورين المبتدئين والمساهمة في مبادرات التحسين المستمر<br><br>المهارات والمؤهلات المطلوبة<br><br> درجة البكالوريوس في علوم الحاسوب أو هندسة البرمجيات أو مجال ذي صلة خبرة عملية تزيد عن 3 سنوات في تطوير البرمجيات باستخدام .NET Core وتقنيات الويب الحديثة خبرة قوية في C# / .NET Core / ASP.NET Core Web API معرفة صلبة بـ React و TypeScript و Node.js وجافا سكريبت الحديثة (ES6+) خبرة في HTML5 و CSS3 وتصميم الويب المتجاوب إتقان SQL و ORM و Entity Framework Core و LINQ فهم بنية الخدمات المصغرة (Microservice architecture) وتصميم واجهات برمجة تطبيقات RESTful وتوثيق Open API/Swagger خبرة في آليات المصادقة والتفويض (OAuth2, Open ID Connect, JWT) مهارات قوية في تصحيح الأخطاء وحل المشكلات عبر طبقات النظام المتعددة<br><br>الخبرات المفضلة<br><br> معرفة بأنماط تصميم البرمجيات (Repository, Factory, Dependency Injection, CQRS، إلخ) خبرة في دمج واستهلاك gRPC لاتصالات ما بين الخدمات الإلمام بأنظمة التخزين المؤقت Redis وأنظمة الرسائل RabbitMQ خبرة عملية في Git و Docker وخطوط أنابيب CI/CD (GitHub Actions أو Azure DevOps) التعرض لأداة HashiCorp Vault أو أدوات إدارة الأسرار الآمنة المماثلة خبرة في بيئات تسليم البرمجيات الرشيقة (Agile) معرفة باختبارات الوحدة والتكامل (xUnit, NUnit, Jest، إلخ)<br><br>مدعوم من Jazz HR<br><br>COLKih SX45
<h2 class="h5">وصف الوظيفة</h2>
<div class="t-break" data-jb-field="description">
<p>Decima International هي شركة خدمات مهنية، تقدم خدمات إدارة المشاريع والضبط للعملاء في الولايات المتحدة والشرق الأوسط. مهمتنا هي أن نصبح المزود الرائد للخدمات المهنية عبر جميع قطاعات الصناعة التي نشارك فيها. لتحقيق ذلك، أسس مؤسسو Decima International صيغة بسيطة لكنها قوية:</p><br><p>التعامل مع كل تعامل مع العميل كــ<strong>شراكة</strong>, خلق بيئة تجذب أكثر</p><p>المهنيين <strong>الموهوبين</strong> وتتيح لهم الازدهار، وتنظيم <strong>النمو</strong> للحفاظ على <strong>التميز</strong> في معايير خدمتنا.</p><br><br>ملخص المنصب<p>تبحث Decima International عن مطور Backend مستقل ذو خبرة لبناء و/أو إكمال الوظائف الخلفية لموقع الشركة. سيعمل المستقل مع تصميم الموقع الحالي/الواجهة الأمامية والمعنيين الداخليين لتقديم Backend موثوق وآمن وقابل للصيانة وقابل للتطوير.</p><br><p>ينبغي أن يكون المطور مرتاحاً للعمل بشكل مستقل، وتحويل المتطلبات التجارية إلى حلول تقنية، ودمج مكونات الواجهة الأمامية وخدمات الطرف الثالث، وتحمل المسؤولية من خلال النشر والتسليم.</p><br>المسؤوليات الأساسية<ul><li>تصميم وتطوير بنية الخلفية للموقع.</li><li>تطوير وصيانة واجهات برمجة التطبيقات المطلوبة من قبل الواجهة الأمامية.</li><li>تنفيذ هياكل قواعد البيانات ومنطق الأعمال الخلفي.</li><li>دمج نماذج الاتصال، وظائف CMS، إشعارات البريد الإلكتروني، واجهات برمجة التطبيقات التابعة لجهات خارجية، أو خدمات الموقع الأخرى حسب الحاجة.</li><li>ربط خدمات الخلفية مع الواجهة الأمامية القائمة.</li><li>ضمان المصادقة، التخويل، التحقق من البيانات، وأمن الموقع بشكل مناسب.</li><li>تحسين أداء الخلفية وموثوقيتها وقابليتها للتوسع.</li><li>تكوين بيئات التطوير والتجريب والإنتاج حسب الحاجة.</li><li>دعم نشر السحابة/الخادم.</li><li>تنفيذ التحكم في المصدر وعملية النشر/CI/CD المناسبة.</li><li>إصلاح مشاكل الخلفية والتكامل.</li><li>اختبار APIs ووظائف الخلفية قبل الإطلاق.</li><li>إنتاج توثيق تقني واضح.</li><li>إكمال تسليم الشفرة والاعتمادات إلى Decima International عند إغلاق المشروع.</li><li>تقديم دعم ما بعد الإطلاق خلال فترة ضمان/دعم متفق عليها.</li></ul>المؤهلات المطلوبة<ul><li>خبرة قوية في تطوير الخلفية/البرمجيات بشكل مهني.</li><li>خبرة موثقة في تطوير <strong>REST APIs / Web APIs</strong>.</li><li>خبرة في تطوير تطبيقات ويب إنتاجية.</li><li>فهم قوي لقواعد البيانات وبنية الخلفية.</li><li>خبرة في دمج تطبيقات الواجهة الأمامية مع خدمات الخلفية.</li><li>إلمام بنشر السحابة، ويفضل AWS أو Azure أو ما يعادلها.</li><li>معرفة عملية بـ Git وDocker وعمليات النشر وCI/CD الأساسية.</li><li>فهم ممارسات الترميز الآمن، وتحسين الأداء، وقابلية الصيانة.</li><li>القدرة على العمل بشكل مستقل وفق جداول زمنية محددة.</li><li>مهارات اتصالات مكتوبة ومحادثة بالإنجليزية قوية وتوثيق تقني.</li></ul><p><strong>مفضل:</strong> خبرة ASP.NET Core/C# أو Python/Django/Flask؛ مشاريع مواقع ويب مؤسسية سابقة؛ تكامل CMS؛ خبرة في نقل موقع من التطوير إلى النشر الإنتاجي.</p><br>نتائج المستقل<p>ينبغي أن يسفر التعاون الناجح عن Backend يعمل بالكامل، وتكامل أمامي/خلفي مكتمل، وبيئة إنتاج منشورة، وواجهات APIs ونماذج مُختبرة، وتسليم الشفرة والمصداقيات، وتوثيق تقني، وتقديم وصول/اعتمادات، وتحديد فترة دعم ما بعد الإطلاق.</p><br><p> </p><br><p>Decima International هي صاحب عمل يمنح فرص متساوية وتلتزم بسلامة ورفاهية الجميع. سيُؤخذ في الاعتبار جميع المتقدمين المؤهلين دون النظر إلى العِرق، الدين، العقيدة، اللون، الأصل القومي، الأنساب، الجنس (بما في ذلك الحمل، الولادة، الرضاعة الطبيعية، أو الحالات الطبية المرتبطة بالحمل/الولادة/الرضاعة)، العمر، الحالة الطبية، الحالة الزوجية أو شريك Domestic، التوجه الجنسي، الهوية الجندرية، التعبير الجندري والحالة المتحولة، الإعاقة الذهنية أو الجسدية، المعلومات الوراثية، الحالة كجندي أو محارب قديم، الجنسية، الوضع المادي المنخفض أو أي حالة أو سمة محمية وفقاً للقانون المعمول به.</p><br><br> </div>
Job Title: Full Stack Developer<br>Job Summary We are seeking a talented and motivated Full Stack Developer to join our team. The successful candidate will be responsible for designing, developing, testing, and maintaining scalable web applications. This role requires expertise in both front-end and back-end development, along with strong problem-solving skills and the ability to collaborate effectively with cross-functional teams.<br>Key Responsibilities Design, develop, and maintain scalable web applications. Build responsive and user-friendly front-end interfaces. Develop and maintain back-end services, APIs, and server-side logic. Design, optimize, and manage SQL and/or NoSQL databases. Integrate third-party services and APIs when required. Write clean, efficient, and maintainable code following best practices. Troubleshoot, debug, and enhance application performance. Collaborate with Product Managers, UI/UX Designers, QA Engineers, and other developers throughout the software development lifecycle. Participate in code reviews and contribute to technical documentation. Stay up to date with emerging technologies and recommend improvements to existing systems. Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field. Proven experience as a Full Stack Developer or in a similar role. Technical Skills Strong proficiency in HTML5, CSS3, and Java Script. Experience with modern front-end frameworks such as React.js, Angular, or Vue.js. Experience with back-end technologies such as Node.js, . NET, Java, Python, or PHP. Strong understanding of RESTful APIs and web services. Experience with relational and/or NoSQL databases (e.g., MySQL, Postgre SQL, Mongo DB). Proficiency with Git and version control systems. Knowledge of application security, authentication, and performance optimization. Familiarity with Agile/Scrum development methodologies. Soft Skills Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. Ability to manage multiple tasks and meet deadlines. High attention to detail and commitment to code quality. Self-motivated with a passion for continuous learning and professional development.
<p>حول الدور نحن نبحث عن مطور برمجيات أول يستخدم أدوات الذكاء الاصطناعي كجزء أساسي من عملية التطوير لبناء برامج عالية الجودة وجاهزة للإنتاج بسرعة وكفاءة. المرشح المثالي يجمع بين أساسيات هندسة البرمجيات القوية مع خبرة عملية في التطوير بمساعدة الذكاء الاصطناعي، وRAG، وGraphRAG، وقواعد البيانات الرسومية، وتكاملات LLM. المسؤوليات الرئيسية تصميم وتطوير تطبيقات ويب قابلة للتوسع، وواجهات برمجة التطبيقات، وحلول مدعومة بالذكاء الاصطناعي. استخدام أدوات مثل Cursor وWindsurf وGitHub Copilot وChatGPT وClaude في التطوير اليومي. بناء وتحسين حلول RAG وGraphRAG ومخطط المعرفة والبحث الدلالي. دمج LLMs مع أنظمة المؤسسة ومصادر البيانات. مراجعة واختبار وتحسين الشفرة المولدة بالذكاء الاصطناعي. المساهمة في الاختبار الآلي وCI/CD وعمليات النشر. التعاون مع فرق متعددة الوظائف ودعم أفضل ممارسات الهندسة بمساعدة الذكاء الاصطناعي.</p><p><strong>الملف المرغوب للمُرشح</strong></p><p>المتطلبات 5+ سنوات من الخبرة المهنية في تطوير البرمجيات. كفاءة قوية في C# وPython وTypeScript/JavaScript وJava أو Go. خبرة في بناء ونشر تطبيقات ويب وواجهات برمجة تطبيقات إنتاجية. خبرة عملية مع قواعد البيانات الرسومية مثل Neo4j وAmazon Neptune وGraphDB أو Memgraph. خبرة قوية مع حلول RAG وتكاملات LLM. معرفة قوية بـ REST APIs وSQL وNoSQL وGit وDocker ومنصات السحابة. مهارات حل المشكلات وتصميم الأنظمة والتواصل قوية. الخبرة المفضلة GraphRAG ومخططات المعرفة. قواعد البيانات الشعاعية مثل Qdrant وPinecone وWeaviate وMilvus أو pgvector. LangChain وLangGraph وCrewAI وAutoGen أو Semantic Kernel Next.js وReact وFastAPI وASP.NET Core أو Node.js PostgreSQL وRedis وKubernetes وTerraform. Azure OpenAI وAWS Bedrock وGoogle Vertex AI أو Azure AI Foundry</p>
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role:We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: GoProficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role:We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: C#Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Ruby Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role:We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: GoProficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Ruby Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role:We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Rust Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type : Contractor assignment (no medical/paid leave) Duration of contract : 3 month; [expected start date is next week]<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role:We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: C#Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Ruby Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role:We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Rust Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type : Contractor assignment (no medical/paid leave) Duration of contract : 3 month; [expected start date is next week]<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role:We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: C#Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role:We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: GoProficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role:We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: C#Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role:We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Rust Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type : Contractor assignment (no medical/paid leave) Duration of contract : 3 month; [expected start date is next week]<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Ruby Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role:We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: C#Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.