Python Developer Jobs in Jordan
393 Jobs Found
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational physics problems that simulate real physics research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li>
<li>Base problems on real research challenges or practical applications from physics practice;</li>
<li>Verify solutions using Python with standard physics simulation libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for physicists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical simulation methods;</li>
<li>Ability to design problems that mirror real physics research workflows;</li>
<li>Creative thinking in problem design across diverse physics areas;</li>
<li>Familiarity with physics modeling and approximation techniques;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational physics problems that simulate real physics research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li>
<li>Base problems on real research challenges or practical applications from physics practice;</li>
<li>Verify solutions using Python with standard physics simulation libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for physicists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical simulation methods;</li>
<li>Ability to design problems that mirror real physics research workflows;</li>
<li>Creative thinking in problem design across diverse physics areas;</li>
<li>Familiarity with physics modeling and approximation techniques;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational physics problems that simulate real physics research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li>
<li>Base problems on real research challenges or practical applications from physics practice;</li>
<li>Verify solutions using Python with standard physics simulation libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for quantum researchers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical simulation methods;</li>
<li>Ability to design problems that mirror real physics research workflows;</li>
<li>Creative thinking in problem design across diverse physics areas;</li>
<li>Familiarity with physics modeling and approximation techniques;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational physics problems that simulate real physics research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li>
<li>Base problems on real research challenges or practical applications from physics practice;</li>
<li>Verify solutions using Python with standard physics simulation libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for quantum researchers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical simulation methods;</li>
<li>Ability to design problems that mirror real physics research workflows;</li>
<li>Creative thinking in problem design across diverse physics areas;</li>
<li>Familiarity with physics modeling and approximation techniques;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational physics problems that simulate real physics research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li>
<li>Base problems on real research challenges or practical applications from physics practice;</li>
<li>Verify solutions using Python with standard physics simulation libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for optical engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical simulation methods;</li>
<li>Ability to design problems that mirror real physics research workflows;</li>
<li>Creative thinking in problem design across diverse physics areas;</li>
<li>Familiarity with physics modeling and approximation techniques;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational physics problems that simulate real physics research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li>
<li>Base problems on real research challenges or practical applications from physics practice;</li>
<li>Verify solutions using Python with standard physics simulation libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for optical engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical simulation methods;</li>
<li>Ability to design problems that mirror real physics research workflows;</li>
<li>Creative thinking in problem design across diverse physics areas;</li>
<li>Familiarity with physics modeling and approximation techniques;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational physics problems that simulate real physics research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li>
<li>Base problems on real research challenges or practical applications from physics practice;</li>
<li>Verify solutions using Python with standard physics simulation libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for physicists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical simulation methods;</li>
<li>Ability to design problems that mirror real physics research workflows;</li>
<li>Creative thinking in problem design across diverse physics areas;</li>
<li>Familiarity with physics modeling and approximation techniques;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational physics problems that simulate real physics research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li>
<li>Base problems on real research challenges or practical applications from physics practice;</li>
<li>Verify solutions using Python with standard physics simulation libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for physicists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical simulation methods;</li>
<li>Ability to design problems that mirror real physics research workflows;</li>
<li>Creative thinking in problem design across diverse physics areas;</li>
<li>Familiarity with physics modeling and approximation techniques;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational physics problems that simulate real physics research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li>
<li>Base problems on real research challenges or practical applications from physics practice;</li>
<li>Verify solutions using Python with standard physics simulation libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for quantum researchers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in physics (theoretical, experimental, or computational) or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical simulation methods;</li>
<li>Ability to design problems that mirror real physics research workflows;</li>
<li>Creative thinking in problem design across diverse physics areas;</li>
<li>Familiarity with physics modeling and approximation techniques;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational physics problems that simulate real physics research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li>
<li>Base problems on real research challenges or practical applications from physics practice;</li>
<li>Verify solutions using Python with standard physics simulation libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for quantum researchers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in physics (theoretical, experimental, or computational) or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical simulation methods;</li>
<li>Ability to design problems that mirror real physics research workflows;</li>
<li>Creative thinking in problem design across diverse physics areas;</li>
<li>Familiarity with physics modeling and approximation techniques;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational physics problems that simulate real physics research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li>
<li>Base problems on real research challenges or practical applications from physics practice;</li>
<li>Verify solutions using Python with standard physics simulation libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for optical engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical simulation methods;</li>
<li>Ability to design problems that mirror real physics research workflows;</li>
<li>Creative thinking in problem design across diverse physics areas;</li>
<li>Familiarity with physics modeling and approximation techniques;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational physics problems that simulate real physics research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li>
<li>Base problems on real research challenges or practical applications from physics practice;</li>
<li>Verify solutions using Python with standard physics simulation libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for optical engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical simulation methods;</li>
<li>Ability to design problems that mirror real physics research workflows;</li>
<li>Creative thinking in problem design across diverse physics areas;</li>
<li>Familiarity with physics modeling and approximation techniques;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Jordan
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational physics problems that simulate real physics research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; Base problems on real research challenges or practical applications from physics practice; Verify solutions using Python with standard physics simulation libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for optical engineers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Physics (Theoretical, Experimental, or Computational) or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical simulation methods; Ability to design problems that mirror real physics research workflows; Creative thinking in problem design across diverse physics areas; Familiarity with physics modeling and approximation techniques; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
Jordan
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational physics problems that simulate real physics research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; Base problems on real research challenges or practical applications from physics practice; Verify solutions using Python with standard physics simulation libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for physicians with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Physics (Theoretical, Experimental, or Computational) or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical simulation methods; Ability to design problems that mirror real physics research workflows; Creative thinking in problem design across diverse physics areas; Familiarity with physics modeling and approximation techniques; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
Jordan
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational physics problems that simulate real physics research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; Base problems on real research challenges or practical applications from physics practice; Verify solutions using Python with standard physics simulation libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for quantum researchers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Physics (Theoretical, Experimental, or Computational) or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical simulation methods; Ability to design problems that mirror real physics research workflows; Creative thinking in problem design across diverse physics areas; Familiarity with physics modeling and approximation techniques; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
Jordan
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational physics problems that simulate real physics research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; Base problems on real research challenges or practical applications from physics practice; Verify solutions using Python with standard physics simulation libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for physicians with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Physics (Theoretical, Experimental, or Computational) or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical simulation methods; Ability to design problems that mirror real physics research workflows; Creative thinking in problem design across diverse physics areas; Familiarity with physics modeling and approximation techniques; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
Almosafer
Jordan - Amman
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are looking for a DevOps engineer who is passionate about Cloud, Microservices, Cloud native technologies.</p><p><br></p><ul ><li >Strong knowledge of Linux systems.</li><li >Good knowledge of shell scripting.</li><li >Good understanding of networking (DNS, Routing, Subnetting).</li><li >4+ years experience in Amazon Web Services.</li><li >2+ years of Kubernetes in production environments.</li><li >Infrastructure as a code - Terraform / Helm etc.</li><li >CI / CD with Jenkins, Argo or similar tools.</li><li >Experience with system administration and infrastructure maintenance.</li><li >Designing / Maintaining logging architecture.</li><li >Monitoring / Alerting with Prometheus or similar tools.</li><li >Experience with automation and/or configuration management tools like Ansible/Salt stack.</li><li >Knowledge of different SQL / NoSQL databases.</li><li >Good to have: Python / Golang Skills</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><br></li></ul><p></p></section>
Jordan - Amman
<p><h4>About us:</h4>
<p>MBC Group is the largest owner and operator of satellite TV and radio networks, VOD, and digital services, based in Diplomatic Quarter, Riyadh. It broadcasts a portfolio of Arabic and Western entertainment channels as well as managing the Al Arabiya news channel. In addition, MBC Group owns and operates Shahid: the world’s leading Arabic VOD and SVOD streaming platform by MBC Group, offering premium content to Arab families, including binge worthy exclusive Shahid Original Series; Shahid Premieres; Arabic movies fresh off the box-office; live TV channels in true HD quality.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Design, build, and maintain scalable, resilient cloud infrastructure across AWS and GCP.</li>
<li>Develop and manage Kubernetes environments (EKS, GKE) and containerized services (ECS, Docker).</li>
<li>Build and optimize CI/CD pipelines (e.g., Jenkins) to ensure fast, reliable software delivery.</li>
<li>Implement Infrastructure as Code using Terraform and adopt GitOps practices with tools like ArgoCD.</li>
<li>Automate operations with Bash and Python, while monitoring performance and ensuring high availability.</li>
<li>Collaborate across teams, define best practices, and mentor junior engineers while leading technical initiatives.</li>
</ul>
<h4>Requirements:</h4>
<ul>
<li>5+ years of proven experience as a DevOps Engineer.</li>
<li>Strong hands-on expertise with AWS and/or GCP.</li>
<li>Deep knowledge of Kubernetes and container orchestration (EKS, GKE, ECS).</li>
<li>Proficiency in CI/CD tools, especially Jenkins.</li>
<li>Solid experience with Infrastructure as Code (Terraform) and GitOps tools like ArgoCD.</li>
<li>Strong skills in Docker, scripting (Bash/Python), and cloud networking, security, and monitoring.</li>
</ul>
<h4>Preferred requirements:</h4>
<ul>
<li>AWS, GCP, or Kubernetes certifications.</li>
<li>Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack).</li>
<li>Experience in the media or streaming industry.</li>
<li>A passion for automation and continuous improvement.</li>
</ul></p><p></p>
Confidential
Jordan - Amman
<p><h4>About the opportunity</h4>
<p>We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs.</p>
<p>This organisation is creating AI-powered products and platforms that will transform public services across the Emirate. The work spans retrieval systems, agent-based workflows, sovereign AI infrastructure, and production-grade applications that must operate securely, reliably, and at scale.</p>
<p>This is an opportunity to build highly impactful AI products used in real-world government environments where quality, trust, and operational excellence are essential.</p>
<h4>Role overview</h4>
<p>We are looking for a senior AI product engineer to own the end-to-end delivery of AI-powered products.</p>
<p>You will design and build the retrieval pipelines and agent workflows that power intelligent applications, the backend services that support them, and the user interfaces that deliver value to end users. This role combines applied AI engineering with strong product judgment.</p>
<p>You should be comfortable working across the full stack—from Python-based AI systems and APIs to React frontends—and accountable for how your products perform in production.</p>
<p>At the senior level, you will:</p>
<ul>
<li>Own AI product features from concept through production</li>
<li>Build and optimize RAG pipelines and agent-based systems</li>
<li>Develop backend services and modern user interfaces</li>
<li>Make sound technical and product decisions</li>
<li>Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow</li>
</ul>
<h4>Key responsibilities</h4>
<p><strong>End-to-end AI product development</strong></p>
<ul>
<li>Design and build AI-powered assistants, copilots, and automation tools</li>
<li>Architect retrieval-augmented generation (RAG) pipelines, including ingestion, embeddings, vector search, and reranking</li>
<li>Develop agent-based workflows with tool use, planning, and multi-step reasoning</li>
<li>Build reusable AI components and integration libraries for multiple products</li>
</ul>
<p><strong>Full-stack engineering</strong></p>
<ul>
<li>Build React and Next.js interfaces with streaming responses and conversational experiences</li>
<li>Develop backend APIs and services in Python, Java/Kotlin, or Node.js</li>
<li>Work with PostgreSQL, Redis, DocumentDB, Azure Blob Storage, and vector databases such as pgvector or Qdrant</li>
<li>Instrument AI systems using Langfuse and Grafana for tracing and observability</li>
</ul>
<p><strong>Product ownership & engineering excellence</strong></p>
<ul>
<li>Evaluate product requirements and ensure solutions solve the right problems</li>
<li>Optimize systems for reliability, latency, and user trust</li>
<li>Document technical decisions and architecture clearly</li>
<li>Mentor engineers and contribute to engineering best practices</li>
</ul>
<h4>Basic qualifications</h4>
<ul>
<li>7+ years of software engineering experience</li>
<li>Proven experience shipping end-to-end product features across AI, backend, and frontend layers</li>
<li>Strong proficiency in Python and experience building LLM-powered systems</li>
<li>Solid React fundamentals, including state management, accessibility, and performance</li>
<li>Experience building production APIs in Python, Java/Kotlin, or Node.js</li>
<li>Working knowledge of PostgreSQL and relational schema design</li>
<li>Understanding of common LLM production challenges such as hallucination, latency, and context degradation</li>
<li>Practical use of AI coding assistants such as Codex or Claude Code</li>
<li>Strong system design, testing, debugging, and performance optimization skills</li>
</ul>
<h4>Preferred qualifications</h4>
<ul>
<li>Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI</li>
<li>Experience designing streaming APIs with SSE or WebSockets</li>
<li>Strong familiarity with Next.js, Tailwind CSS, TanStack Query, and Zustand</li>
<li>Experience deploying AI applications on Azure using Docker and CI/CD pipelines</li>
<li>Familiarity with vector databases such as Qdrant or pgvector</li>
<li>Experience working in government, public sector, financial services, or other regulated environments</li>
</ul>
<h4>Technology stack</h4>
<ul>
<li>Frontend: React, Next.js, Tailwind CSS</li>
<li>Backend: Python, Java, Kotlin, Node.js</li>
<li>AI & LLM: LangChain, LangGraph, Microsoft Agent Framework, vector databases, OCR, ASR, TTS</li>
<li>Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage</li>
<li>Observability: Langfuse, Grafana</li>
<li>Infrastructure: Docker, Azure, CI/CD pipelines</li>
<li>AI development: Codex, Claude Code, OpenCode</li>
</ul>
<h4>What we’re looking for</h4>
<p>You are an engineer who:</p>
<ul>
<li>Takes ownership across the full product lifecycle</li>
<li>Balances technical depth with strong product judgment</li>
<li>Builds AI products that users trust in production</li>
<li>Makes evidence-based decisions</li>
<li>Communicates clearly and proactively</li>
<li>Embraces AI-native development practices</li>
</ul>
<h4>Why apply?</h4>
<p>This is an opportunity to help shape the future of AI-powered public services in Abu Dhabi.</p>
<p>You’ll work on meaningful products with real-world impact, solving complex challenges in applied AI, product engineering, and large-scale deployment.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>About the opportunity</h4>
<p>We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs.</p>
<p>This organisation is creating AI-powered products and platforms that will transform public services across the Emirate. The work spans retrieval systems, agent-based workflows, sovereign AI infrastructure, and production-grade applications that must operate securely, reliably, and at scale.</p>
<p>This is an opportunity to build highly impactful AI products used in real-world government environments where quality, trust, and operational excellence are essential.</p>
<h4>Role overview</h4>
<p>We are looking for a senior AI product engineer to own the end-to-end delivery of AI-powered products.</p>
<p>You will design and build the retrieval pipelines and agent workflows that power intelligent applications, the backend services that support them, and the user interfaces that deliver value to end users. This role combines applied AI engineering with strong product judgment.</p>
<p>You should be comfortable working across the full stack—from Python-based AI systems and APIs to React frontends—and accountable for how your products perform in production.</p>
<p>At the senior level, you will:</p>
<ul>
<li>Own AI product features from concept through production</li>
<li>Build and optimize RAG pipelines and agent-based systems</li>
<li>Develop backend services and modern user interfaces</li>
<li>Make sound technical and product decisions</li>
<li>Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow</li>
</ul>
<h4>Key responsibilities</h4>
<p><strong>End-to-end AI product development</strong></p>
<ul>
<li>Design and build AI-powered assistants, copilots, and automation tools</li>
<li>Architect retrieval-augmented generation (RAG) pipelines, including ingestion, embeddings, vector search, and reranking</li>
<li>Develop agent-based workflows with tool use, planning, and multi-step reasoning</li>
<li>Build reusable AI components and integration libraries for multiple products</li>
</ul>
<p><strong>Full-stack engineering</strong></p>
<ul>
<li>Build React and Next.js interfaces with streaming responses and conversational experiences</li>
<li>Develop backend APIs and services in Python, Java/Kotlin, or Node.js</li>
<li>Work with PostgreSQL, Redis, DocumentDB, Azure Blob Storage, and vector databases such as pgvector or Qdrant</li>
<li>Instrument AI systems using Langfuse and Grafana for tracing and observability</li>
</ul>
<p><strong>Product ownership & engineering excellence</strong></p>
<ul>
<li>Evaluate product requirements and ensure solutions solve the right problems</li>
<li>Optimize systems for reliability, latency, and user trust</li>
<li>Document technical decisions and architecture clearly</li>
<li>Mentor engineers and contribute to engineering best practices</li>
</ul>
<h4>Basic qualifications</h4>
<ul>
<li>7+ years of software engineering experience</li>
<li>Proven experience shipping end-to-end product features across AI, backend, and frontend layers</li>
<li>Strong proficiency in Python and experience building LLM-powered systems</li>
<li>Solid React fundamentals, including state management, accessibility, and performance</li>
<li>Experience building production APIs in Python, Java/Kotlin, or Node.js</li>
<li>Working knowledge of PostgreSQL and relational schema design</li>
<li>Understanding of common LLM production challenges such as hallucination, latency, and context degradation</li>
<li>Practical use of AI coding assistants such as Codex or Claude Code</li>
<li>Strong system design, testing, debugging, and performance optimization skills</li>
</ul>
<h4>Preferred qualifications</h4>
<ul>
<li>Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI</li>
<li>Experience designing streaming APIs with SSE or WebSockets</li>
<li>Strong familiarity with Next.js, Tailwind CSS, TanStack Query, and Zustand</li>
<li>Experience deploying AI applications on Azure using Docker and CI/CD pipelines</li>
<li>Familiarity with vector databases such as Qdrant or pgvector</li>
<li>Experience working in government, public sector, financial services, or other regulated environments</li>
</ul>
<h4>Technology stack</h4>
<ul>
<li>Frontend: React, Next.js, Tailwind CSS</li>
<li>Backend: Python, Java, Kotlin, Node.js</li>
<li>AI & LLM: LangChain, LangGraph, Microsoft Agent Framework, vector databases, OCR, ASR, TTS</li>
<li>Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage</li>
<li>Observability: Langfuse, Grafana</li>
<li>Infrastructure: Docker, Azure, CI/CD pipelines</li>
<li>AI development: Codex, Claude Code, OpenCode</li>
</ul>
<h4>What we’re looking for</h4>
<p>You are an engineer who:</p>
<ul>
<li>Takes ownership across the full product lifecycle</li>
<li>Balances technical depth with strong product judgment</li>
<li>Builds AI products that users trust in production</li>
<li>Makes evidence-based decisions</li>
<li>Communicates clearly and proactively</li>
<li>Embraces AI-native development practices</li>
</ul>
<h4>Why apply?</h4>
<p>This is an opportunity to help shape the future of AI-powered public services in Abu Dhabi.</p>
<p>You’ll work on meaningful products with real-world impact, solving complex challenges in applied AI, product engineering, and large-scale deployment.</p></p><p></p>