Embedded Systems Engineer Jobs in Egypt

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.

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: 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: 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: 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: 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.

Company Description NTI is a leading supplier of industrial and automotive aftermarket parts in Egypt, with over 40 years of experience in the mechanical spare parts sector. The company has built strong, long-term partnerships with global manufacturers and is an authorized distributor for Germany’s Schaeffler Group (FAG-INA) and the sole agent for Japanese brands KOYO-JTEKT and NACHI in Egypt. NTI is also the Authorized Distributor for NSK Automotive, FYH, and IKO, ensuring a comprehensive range of products. With robust supply chain, logistics, inventory, and operations management, NTI can efficiently reach customers anywhere in Egypt. Through its sister company, NFC Middle East in Jebel Ali, Dubai, NTI extends its distribution network, serving as the only authorized NACHI distributor in the Middle East and Africa. Role Description The Technical Sales Engineer role is a full-time, on-site position based in Minya, Egypt. This role is responsible for identifying customer needs, presenting technical solutions, and promoting NTI’s product portfolio to industrial and automotive clients. Daily tasks include conducting technical consultations, preparing quotations, supporting customers with product selection, and providing post-sales technical support. The Technical Sales Engineer collaborates with the sales team, logistics, and operations to ensure timely delivery and high customer satisfaction. The role also involves market research, participation in customer visits, and ongoing relationship management to drive revenue growth and strengthen NTI’s market presence.<br>Qualifications Strong Technical Sales and Sales Engineering skills, with the ability to understand and explain mechanical spare parts and related applications. Experience in customer-facing Sales and Communication, including presenting solutions, negotiating, and maintaining professional relationships. Capability in Technical Support, helping customers troubleshoot issues and optimize product usage. Bachelor’s degree in Mechanical Engineering or a related technical field is preferred. Previous experience in industrial or automotive aftermarket parts or similar technical sectors is an advantage. Proficiency in MS Office and basic CRM tools, with good documentation and reporting skills. Fluency in Arabic and good command of English, both written and spoken. Ability to work on-site, travel to customer locations within Egypt, and collaborate effectively in a team environment.

Company Description Mr Home is a home solutions company dedicated to turning houses into elegant, functional sanctuaries. The team focuses on optimizing spaces with meticulous attention to detail while offering strong value for money. Beyond interior styling, Mr Home provides comprehensive, end-to-end home solutions for a wide range of client needs. The company specializes in transformative touches that enhance rooms without major structural changes or costly renovations. Team members contribute to projects where every room is treated as a creative canvas and every detail is thoughtfully designed.<br>Role Description The Kitchen Technical Office Engineer is responsible for preparing and reviewing technical drawings, layouts, and specifications for kitchen projects. This full-time, on-site role, based in Qesm 3rd New Cairo, involves coordinating with design, engineering, and site teams to ensure accurate execution of kitchen plans. Daily tasks include producing shop drawings, preparing bills of quantities (BOQs), checking measurements, and aligning designs with structural, electrical, and plumbing requirements. The role also includes technical support during installation, resolving design and coordination issues, and maintaining documentation and project records. The Kitchen Technical Office Engineer collaborates closely with stakeholders to ensure quality, cost efficiency, and timely delivery of kitchen projects.<br>Qualifications<br> <br>Ability to prepare and review detailed shop drawings for kitchen layouts and related components. Proficiency in BOQ preparation, quantity take-offs, and cost estimation for kitchen projects. Foundational knowledge in Civil Engineering to understand structural implications and site conditions. Understanding of Electrical Engineering requirements for kitchen power, lighting, and appliance layouts. Experience or training in Quantity Surveying for accurate measurement, budgeting, and cost control. Strong skills in CAD or similar design software and basic project documentation tools. Bachelor’s degree in Engineering (Civil, Architectural, or related field) or equivalent practical experience. Attention to detail, strong analytical skills, and the ability to coordinate with cross-functional teams. Effective communication skills and the ability to manage multiple tasks and deadlines on-site.

Company Description Fleet Information Technology (F. I. T), founded in 2008, is the first dedicated fleet management operator in Egypt. The company is recognized as a market leader, serving 65 leading companies with more than 10,000 installations nationwide. F. I. T focuses on advanced fleet management solutions that enhance operational efficiency and safety for clients across diverse industries. With strong expertise and continuous investment in resources and technologies, F. I. T is committed to transforming the fleet management landscape in Egypt. The team values innovation, reliability, and long-term partnerships with customers. Role Description The Sales Engineer will work on-site in Qesm El Sheikh Zaid in a full-time capacity, acting as a key link between clients and F. I. T’s technical solutions. Day-to-day responsibilities include understanding customer requirements, presenting and demonstrating fleet management products, and preparing tailored technical and commercial proposals. The role involves collaborating with the sales team to drive new business, providing pre- and post-sales technical support, and ensuring a smooth onboarding experience for clients. The Sales Engineer will also respond to customer inquiries, troubleshoot issues in coordination with the technical team, and maintain strong, ongoing relationships to support retention and growth. Regular reporting on sales activities, market feedback, and product performance will be part of the role. Qualifications Bachelor’s degree in engineering.1-2 Years Experience Candidates should possess skills in Sales Engineering and Technical Support to understand solutions, configure offerings, and support implementation. Candidates should possess strong Sales and Customer Service skills to manage the sales cycle, handle client requests, and ensure a positive customer experience. Candidates should possess excellent Communication skills to present technical concepts clearly, collaborate with internal teams, and build trust with clients. Relevant experience in B2B technology or telematics solutions, preferably in fleet management or related industries. Ability to work on-site, manage multiple accounts, and prioritize tasks in a fast-paced environment. Proficiency with CRM tools, MS Office, and basic networking or hardware concepts is beneficial. Strong problem-solving mindset, attention to detail, and commitment to ethical, inclusive, and customer-focused practices.

Company Description NOAH is a luxury furniture store specializing in stainless steel and gold-coated metal furniture, offering premium designs for high-end residential and commercial spaces. The company focuses on quality craftsmanship, unique contemporary styles, and durable materials that appeal to discerning customers. NOAH aims to provide a sophisticated shopping experience, combining personalized service with an elegant showroom environment. Team members work closely with clients to help them select furniture that matches their design vision and functional needs.<br>Role Description The Sales Engineer is a full-time, on-site role based in Nasr City, responsible for combining technical product knowledge with strong sales and customer service skills. The individual will guide customers through the selection of stainless steel and gold-coated furniture, providing detailed explanations of product specifications, materials, durability, and maintenance. Day-to-day tasks include meeting clients on the showroom floor, preparing product proposals and quotations, responding to technical inquiries, and coordinating with the design and operations teams to ensure accurate orders and timely delivery. The Sales Engineer will maintain up-to-date knowledge of NOAH’s product lines, support after-sales follow-up, and contribute to achieving sales targets through consultative selling and relationship building.<br>Qualifications<br> Candidates should possess strong Sales Engineering skills, with the ability to translate technical product details into clear benefits for customers. Candidates should possess Sales and Customer Service skills to manage inquiries, build relationships, and support a high-quality showroom experience. Candidates should possess effective Communication skills to present solutions, negotiate, and collaborate with internal teams and clients. Candidates should possess Technical Support capabilities to handle product-related questions, troubleshoot basic issues, and guide clients on usage and care. Relevant experience in furniture, interior design, or luxury retail sales is beneficial. Ability to work on-site in Nasr City, including weekends or retail hours as needed. Strong attention to detail, numerical accuracy in quotations, and basic proficiency in office and CRM software. A diploma or degree in engineering, business, or a related field is an advantage, along with proficiency in English and local language.

Sales ENGINEERBachelor’s degree in Engineeringexperience: 3-5 years Company Description United for Engineering is an established Egyptian company founded in 2014, specializing in civil and structural engineering solutions for industrial and commercial projects. The company delivers integrated construction, electromechanical works, steel structures, and architectural finishes, focusing on quality, innovation, and cost-efficiency. With a strong market reputation, United for Engineering is recognized as a trusted partner across Egypt for precise and sustainable project execution. Team members collaborate in a professional environment that values timely delivery, technical excellence, and long-term client relationships. Role Description The Sales Engineer role is a full-time, on-site position based in New Cairo. This role involves identifying customer needs, presenting appropriate engineering solutions, and supporting the sales cycle from initial inquiry through proposal, negotiation, and closing. The Sales Engineer will prepare technical offers, conduct product and solution demonstrations, and coordinate with engineering and project teams to ensure accurate specifications and timely delivery. Daily tasks include providing technical support to clients, following up on leads, maintaining relationships with existing customers, and contributing to sales forecasts and reporting. The role requires regular site visits, participation in client meetings, and maintaining up-to-date knowledge of company services and industry standards. Qualifications Candidates should possess strong Sales Engineering and technical pre-sales skills, with the ability to translate engineering solutions into clear business value. Candidates should possess solid Technical Support skills, including troubleshooting, solution configuration, and post-sales technical assistance. Candidates should possess effective Sales skills, including prospecting, negotiation, pipeline management, and closing deals. Candidates should possess excellent Communication and Customer Service skills to build trust, manage expectations, and maintain long-term client relationships. Relevant qualifications such as a bachelor’s degree in Engineering (civil, structural, mechanical, or related field) and prior experience in construction or industrial projects are highly beneficial. Additional beneficial qualifications include strong analytical and presentation skills, proficiency in MS Office and basic CRM tools, fluency in English and Arabic, and the ability to work collaboratively in fast-paced project environments.

Company Description Nexus Supplies & Constructions provides a comprehensive range of construction chemicals, supported by long-standing expertise in the field since 2008. Drawing on experience with multiple companies and brands, Nexus focuses on delivering products that combine high quality with strong value. Under the philosophy of “Next With Us,” the company aims to offer top-quality products at competitive prices to ensure customer satisfaction. Nexus delivers reliable, high-performing chemicals that meet diverse needs across the construction industry. Applicants can expect to join a team committed to quality, value, and expert support for every project.<br>Role Description The Technical Office Civil Engineer is a full-time, on-site role based in Qesm El Sheikh Zaid. The role involves preparing and reviewing shop drawings, coordinating with design and site teams, and ensuring drawings align with project specifications and standards. The engineer will develop and analyze Bills of Quantities (BOQs), support quantity surveying activities, and verify measurements and material requirements. Daily tasks include technical support for tenders, reviewing project documentation, resolving design and coordination issues, and reporting on technical progress. The role also requires close collaboration with civil and electrical engineering stakeholders to ensure accurate, efficient execution of construction projects.<br>Qualifications<br> Civil Engineering skills, including strong understanding of structural and construction principles. Proficiency in preparing and reviewing shop drawings, ensuring compliance with project specifications and standards. Experience with BOQ preparation, cost estimation, and Quantity Surveying for construction projects. Basic familiarity with Electrical Engineering concepts for effective coordination with MEP and electrical teams. Bachelor’s degree in Civil Engineering or a closely related field. Ability to use engineering and drafting software (e.g., Auto CAD, Revit, or similar tools) and MS Office applications. Strong analytical, numerical, and problem-solving skills with attention to detail and accuracy. Effective communication and teamwork abilities, with capacity to work on-site and coordinate with multiple stakeholders. Previous experience in a technical office role or in construction projects is an advantage.

Gases for Medical & Industrial Gases is hiring:(Senior Fleet Maintenance Engineer)<br>We are seeking a Mechanical Engineer with strong technical and administrative experience in heavy-duty fleet maintenance and repair. The successful candidate will be responsible for leading workshop operations and maintaining the highest levels of fleet availability and operational efficiency.<br>Key Responsibilities:-Lead the workshop team, assign daily tasks, and monitor the quality and efficiency of work-Develop and implement preventive and scheduled maintenance plans, as well as emergency repair programs-Diagnose technical faults and supervise repair work and complete engine overhauls-Supervise the maintenance and repair of Mercedes-Actros trucks, particularly MP4 and MP5 models-Conduct comprehensive technical and financial assessments for each vehicle to determine whether it should be repaired, replaced, or sold-Prepare accurate reports on vehicle condition, estimated repair costs, and expected post-repair value, and provide clear recommendations to management-Evaluate the remaining operational life of each vehicle and contribute to fleet replacement and renewal plans-Monitor workshop productivity and ensure compliance with work plans and vehicle delivery schedules-Manage work orders, breakdown records, maintenance costs, and spare-parts consumption-Analyze recurring faults, identify their root causes, and implement corrective and preventive actions-Coordinate with relevant departments to maximize fleet availability and minimize downtime and operating costs-Ensure compliance with quality and safety standards and the proper use of workshop equipment and tools<br>Qualifications and Experience:-Bachelor’s degree in mechanical engineering.-Previous experience in manufacturing companies or organizations operating their own transportation fleets and in-house maintenance workshops-Strong hands-on experience in heavy-duty vehicle maintenance, repair, and complete engine overhauls-Good experience with Mercedes-Benz Actros MP4 and MP5 trucks-Proven ability to lead a workshop team and manage day-to-day operations-Experience in assessing the technical and financial condition of vehicles and recommending whether to repair, replace, or sell them-Strong planning, organizational, follow-up, reporting, and cost-analysis skills-Excellent problem-solving, decision-making, and ownership capabilities<br>Work Location: 10th of Ramadan City, Egypt