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<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 We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<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 We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

We are looking for an experienced Full Stack Developer to design, develop, and operate an in-house e-invoicing platform end-to-end. The candidate should be strong in Python backend development, React/Type Script, Postgre SQL, cloud technologies, and modern Agentic IDE / Vibe Coding practices.<br>Key Requirements<br>5+ years of hands-on Full Stack Development experience delivering production applications. Strong expertise in Python 3.12, Fast API, SQLAlchemy, and Alembic. Experience with React and Type Script for frontend development. Strong Postgre SQL knowledge, including migrations, indexes, query optimization, row-level security, and locking. Hands-on experience with Temporal workers/workflows. Vibe Coding / Agentic IDE experience – Mandatory. Strong XML knowledge: XSD, Schematron, XPath, canonicalization, and digital signatures. Experience with XAdES, PKI, X.509, CSR, and KMS-backed signing is highly preferred. Experience with Docker and AWS services such as ECS, RDS, S3, KMS, and ALB. Good knowledge of Git and Git Hub Actions.

Full-Stack Software Engineer<br><br>Location: Global, Fully Remote<br><br>Job Type: Contractor | :15 hours/week<br><br>Schedule: Flexible<br><br>We're looking for experienced Full-Stack Software Engineers to support an AI training project focused on software development, debugging, code evaluation, and technical problem-solving.<br><br>Key Responsibilities<br><br>Develop and debug front-end and back-end applications. Build features, APIs, services, and data models. Understand and work across unfamiliar codebases. Troubleshoot application, API, database, and integration issues. Review and evaluate AI-generated code for correctness, security, performance, and maintainability. Translate and adapt software builds between programming languages.<br><br><br>Required Skills<br><br>Python React Java Script Java Node.js Rust GoType Script Strong full-stack development experience Experience with APIs, databases, application architecture, and debugging<br><br><br>Hiring Process<br><br>Submit application and screening questions. Complete a :30-minute AI interview. Complete a technical assessment, if required. Hiring manager review.

<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 We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<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 We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<p>Design end-to-end AI solutions with a focus on creating business cases tailored for the sports, sport performance, education and medical industries. Consider machine learning, natural language processing, and data analytics to craft systems that optimize AI integration and functionality, specifically addressing sport-specific applications.</p><br><p>8+ years of experience in Solution Architecture with minimum of 4 years of experience in applied AI/ML projects.<br></p><p>Bilingual (Arabic Speaker) Mandatory<br></p><p><strong>Education:</strong></p><p>Bachelor's Degree in Computer Science</p><p>Or Artificial Intelligence, Data Science</p><p>Or Bachelors Degree in IT</p><p>Or Bachelors of Engineering<br></p><p><strong>AI Solution Architecture & Delivery:</strong></p><ul><li><p>Design and implement scalable AI architectures using cloud-native platforms (Azure AI Foundry, Google Agent Space).</p></li><li><p>Leverage pre-built AI services (NLP, computer vision, predictive analytics) to accelerate solution delivery.</p></li><li><p>Align AI solutions with organizational priorities in sports, healthcare, and education.<br></p></li></ul><p><strong>Enterprise System & Data Integration:</strong></p><ul><li><p>Integrate cloud AI services with ERP, CRM, medical, and sports performance platforms.</p></li><li><p>Enable connectivity between structured (databases, KPIs) and unstructured (documents, video, medical records) data sources.</p></li><li><p>Apply APIs, middleware, and automation tools to streamline data flows and pipelines.<br></p></li></ul><p><strong>AI Governance & Risk Management:</strong></p><ul><li><p>Ensure compliance with GDPR, HIPAA, and local data regulations.</p></li><li><p>Monitor AI systems for bias, transparency, and explainability.</p></li><li><p>Apply security and governance best practices in AI deployment.<br></p></li></ul><p><strong>Applied AI Enablement:</strong></p><ul><li><p>Deploy and customize existing AI models for real-world use cases.</p></li><li><p>Configure conversational AI, knowledge agents, and analytics tools to support operations.</p></li><li><p>Evaluate updates from cloud AI providers and implement improvements.<br></p></li></ul><p><strong>Stakeholder & Client Management:</strong></p><ul><li><p>Partner with internal stakeholders to identify opportunities for applied AI adoption.</p></li><li><p>Demonstrate practical AI solutions with measurable business value.</p></li><li><p>Act as a trusted advisor for AI-enabled transformation.<br></p></li></ul><p><strong>Performance & Scalability:</strong></p><ul><li><p>Optimize applied AI systems for speed, scalability, and reliability.</p></li><li><p>Implement monitoring and continuous improvement mechanisms.</p></li><li><p>Define KPIs and track ROI of AI deployments</p><p><br></p></li></ul><p><strong>Required Skillsets:</strong></p><br><p><strong>Education:</strong></p><p>Bachelor's Degree in Computer Science</p><p>Or Artificial Intelligence, Data Science</p><p>Or Bachelors Degree in IT</p><p>Or Bachelors of Engineering<br></p><p><strong>Certifications:</strong></p><ul><li><p>AI Software development related certifications such as MS Certified AI Developer or Architect</p><p>Or Azure AI Foundry and Google Cloud AI/ML platforms Or Software development related certifications such as MS Certified Developer or Architect</p><p><strong><br>Required</strong><br></p></li></ul><ul><li><p>Expertise in developing AI projects.</p></li><li><p>Proficient in AI concepts, tools, frameworks and models.</p></li><li><p>Proficient in multiple solution architecture techniques such as conducting architecture evaluation using scenarios, component modelling and impacts analysis</p></li><li><p>Proficient in SDLC, requirements analysis, high level and detailed technical design.</p></li><li><p>Proficiency in Azure AI Foundry for enterprise AI deployment and lifecycle management.</p></li><li><p>Hands-on expertise with Google Agent Builder, Google SDK for mobile agents, and multi-agent systems.</p></li><li><p>Strong knowledge of Advanced RAG for enterprise-scale knowledge management.</p></li><li><p>Skilled in database and data architecture (SQL, NoSQL, vector databases, knowledge graphs).</p></li><li><p>Ability to design applied AI systems that are secure, scalable, and performance-optimized.</p></li><li><p>Strong communication skills to bridge technical teams and business stakeholders.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Required Skillsets:</strong></p><ul><li><p>Expertise in developing AI projects.</p></li><li><p>Proficient in AI concepts, tools, frameworks and models.</p></li><li><p>Proficient in multiple solution architecture techniques such as conducting architecture evaluation using scenarios, component modelling and impacts analysis</p></li><li><p>Proficient in SDLC, requirements analysis, high level and detailed technical design.</p></li><li><p>Proficiency in Azure AI Foundry for enterprise AI deployment and lifecycle management.</p></li><li><p>Hands-on expertise with Google Agent Builder, Google SDK for mobile agents, and multi-agent systems.</p></li><li><p>Strong knowledge of Advanced RAG for enterprise-scale knowledge management.</p></li><li><p>Skilled in database and data architecture (SQL, NoSQL, vector databases, knowledge graphs).</p></li><li><p>Ability to design applied AI systems that are secure, scalable, and performance-optimized.</p></li><li><p>Strong communication skills to bridge technical teams and business stakeholders.</p></li></ul>

<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 We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<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: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<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 We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<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: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<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 We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<p><strong>Backend Developer – Python/FastAPI</strong></p><p><strong>Vacancies: 3</strong></p><p><strong>Position Purpose:</strong><br>Develop, integrate, test, and maintain the backend services and business functions of the new Core System using Python and FastAPI.</p><p><strong>Key Responsibilities:</strong></p><ul><li><p>Develop secure and scalable backend applications using Python and FastAPI.</p></li><li><p>Build and maintain REST APIs, database components, and system integrations.</p></li><li><p>Convert approved business requirements into reliable system functions.</p></li><li><p>Integrate the Core System with internal applications and external service providers.</p></li><li><p>Perform unit testing, debugging, performance optimization, and defect resolution.</p></li><li><p>Apply authentication, authorization, validation, logging, and audit-trail requirements.</p></li><li><p>Support data migration, user acceptance testing, deployment, and production issues.</p></li><li><p>Prepare and maintain technical and API documentation.</p></li></ul><br><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in Computer Science, Software Engineering, or a related field.</p></li><li><p>Practical experience in Python, FastAPI, REST APIs, and relational databases.</p></li><li><p>Knowledge of SQL, Git, API security, automated testing, and containerization.</p></li><li><p>Understanding of system integrations and financial transaction processing is preferred.</p></li><li><p>Strong analytical, troubleshooting, and problem-solving skills.</p></li></ul>

Job Description: Oracle OIC Consultant<br><br>Position: Oracle Integration Cloud, OIC Consultant<br><br>Experience: 6 to 7 Years<br><br>Work Mode: Remote<br><br>Job Overview<br><br>We are looking for an experienced Oracle OIC Consultant with 6 to 7 years of experience in Oracle Integration Cloud. The resource will be responsible for designing, developing, integrating, testing, and supporting enterprise integrations across Oracle and third party applications.<br><br>Key Responsibilities<br><br>Design and develop integrations using Oracle Integration Cloud, OIC. Develop integrations between Oracle Fusion Cloud applications and third party systems. Work with REST and SOAP web services, APIs, XML, JSON, XSD, WSDL, and XSLT. Develop scheduled, application-driven, and event-based integrations. Configure and manage OIC connections, integrations, lookups, packages, and security. Develop integrations using Oracle ERP Cloud, HCM Cloud, SCM Cloud, and other Oracle applications. Perform data mapping and transformation between different systems. Troubleshoot integration failures and provide production support. Monitor integrations and analyze logs to identify and resolve issues. Work with FTP/SFTP, REST, SOAP, database, and other OIC adapters. Develop and maintain reusable integration components. Support integration testing, SIT, UAT, deployment, and production activities. Prepare technical specifications, integration documentation, and support documents. Coordinate with functional consultants, business users, technical teams, and project stakeholders.<br><br>Required Skills<br><br>6 to 7 years of experience in Oracle Integration Cloud, OIC. Strong hands-on experience in OIC integration development. Good knowledge of Oracle Fusion Cloud integrations. Strong experience with REST and SOAP APIs. Good knowledge of XML, JSON, XSD, WSDL, and XSLT. Experience with OIC adapters and connections. Good SQL and database integration knowledge. Experience with SFTP/FTP integrations. Strong troubleshooting and debugging skills. Experience with integration deployment and production support. Good understanding of integration architecture and best practices. Strong communication and coordination skills.<br><br>Preferred Skills<br><br>Oracle ERP Cloud integration experience. Oracle HCM Cloud or SCM Cloud integration experience. Oracle Visual Build erexperience. Oracle SOA or middleware experience. Experience with Oracle ATP or Oracle databases. Knowledge of API management and security. Experience working on large enterprise integration projects.<br><br>Skills: rest,soap apis,oracle visual builder,oracle soa,oic adapters,scm cloud integration,middleware,erp cloud,sftp/ftp,oracle databases,hcm cloud,scm cloud,oracle atp

<p><strong>About the Role</strong></p><p>Arkan Marketing Services is looking for a highly capable and delivery-focused Full Stack Developer to build and maintain e-commerce websites, mobile applications, internal systems, APIs, dashboards, and automation tools across multiple retail brands.</p><p>This is a hands-on development role for someone who can understand business requirements quickly, recommend the right technical solution, and take a project from initial concept to a stable production system.</p><p>The ideal candidate must be able to manage multiple projects, work independently, solve complex technical problems, and use AI-assisted development tools responsibly to improve development speed and quality.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p>• Build and maintain high-performance e-commerce websites, web applications, mobile apps, and internal business systems.</p><p>• Translate business requirements and manual processes into structured, scalable digital solutions.</p><p>• Develop responsive storefronts and web applications using React, Next.js, TypeScript, JavaScript, HTML, CSS, and Tailwind CSS.</p><p>• Work with Shopify, WooCommerce, and custom commerce backends.</p><p>• Develop product pages, collections, search, filters, carts, checkout flows, customer accounts, wishlists, loyalty features, and order-tracking tools.</p><p>• Build and maintain customer-facing mobile applications for iOS and Android using React Native, Flutter, Expo, or similar technologies.</p><p>• Design scalable backend systems using Node.js, TypeScript, Python, REST APIs, webhooks, background jobs, queues, authentication, and role-based permissions.</p><p>• Design and manage databases using PostgreSQL, MySQL, MongoDB, Redis, or similar technologies.</p><p>• Integrate payment gateways, ERP systems, inventory platforms, delivery providers, CRM systems, WhatsApp APIs, analytics tools, and marketing platforms.</p><p>• Develop custom Shopify applications, plugins, APIs, and third-party integrations when required.</p><p>• Build internal platforms for product management, inventory, procurement, restocking, order management, customer service, approvals, reporting, and workflow automation.</p><p>• Improve website speed, Core Web Vitals, SEO, mobile usability, conversion performance, API response times, database queries, caching, and application scalability.</p><p>• Implement secure authentication, permissions, input validation, rate limiting, secrets management, API security, and secure deployment practices.</p><p>• Test, debug, maintain, and improve existing applications and codebases.</p><p>• Deploy and manage applications using Git, GitHub, Linux, Docker, CI/CD, Nginx, Vercel, AWS, Azure, Google Cloud, or similar services.</p><p>• Set up appropriate logging, monitoring, backups, error tracking, and production support.</p><p>• Use AI development tools such as Codex, Claude Code, GitHub Copilot, Cursor, and AI coding agents to accelerate development, debugging, testing, documentation, and code review.</p><p>• Review, test, and take full responsibility for all AI-generated code before deployment.</p><p>• Create reusable systems and components that can support multiple brands and future projects.</p><p>• Maintain clear technical documentation and organised development records.</p><p>• Manage multiple development projects and deliver reliable, production-ready solutions within agreed timelines.</p><p><br></p><p><strong>Qualifications</strong></p><p>• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience.</p><p>• At least three years of professional Full Stack Development experience.</p><p>• Strong portfolio demonstrating real, production-level websites, applications, or software systems.</p><p>• Strong experience with React, Next.js, TypeScript, JavaScript, HTML, CSS, and responsive frontend development.</p><p>• Strong backend development experience using Node.js, TypeScript, Python, or similar technologies.</p><p>• Experience building or maintaining e-commerce platforms using Shopify, WooCommerce, or custom commerce systems.</p><p>• Strong experience with REST APIs, webhooks, authentication, third-party integrations, and payment systems.</p><p>• Good understanding of database architecture, data relationships, indexing, query optimisation, scalability, and data security.</p><p>• Mobile application development experience using React Native, Flutter, Expo, or similar technologies is strongly preferred.</p><p>• Experience with cloud deployment, Git, Docker, CI/CD, Linux, and production server management.</p><p>• Good understanding of application security, performance optimisation, testing, monitoring, and debugging.</p><p>• Practical experience using AI-assisted development tools as part of a professional workflow.</p><p>• Strong problem-solving skills and the ability to research and work with unfamiliar technologies.</p><p>• Able to understand business requirements, recommend practical solutions, and work independently from concept to production.</p><p>• Organised, proactive, and comfortable managing multiple projects in a fast-paced environment.</p><p>• Strong English communication skills; Arabic is an advantage.</p><p>• Based in Qatar and available to work full-time on-site in Doha.</p><p><br></p><p><strong>How to Apply</strong></p><p>Send your CV, GitHub profile, portfolio, and examples of relevant production projects to:</p><p>career@arkanmktg.com</p><p>Subject: Full Stack Developer – Your Name</p>

<p>We operate an integrated enterprise platform CRM, project and portfolio delivery, and financial workflows built on a SQL Server data core, a Node.js/Express API, a React web application, and a React Native mobile companion. It runs entirely on premises in a secure, offline Windows environment. You will take end-to-end ownership of this platform: evolving the database schema safely, extending the API and web application, hardening security, and running disciplined script-based deployments. This is a full-ownership generalist role for an engineer who is genuinely strong on databases and comfortable operating software in a locked-down environment not a feature-factory position</p><p><strong>Desired Candidate Profile</strong></p><ul><li>10+ years of technical experience in designing, developing and maintaining programs and applications from front end to back end.</li><li>Working with front-end frameworks such as React, Angular, or Vue.js.</li><li>Building and integrating back-end services, APIs, and databases.</li><li>RESTful endpoints in Express, with robust database access, connection-pool resilience, request validation, and server-side error handling.</li><li>Using REST APIs or GraphQL to connect front-end and back-end systems.</li><li>Working with databases such as SQL Server, PostgreSQL or MySQL.</li><li>Working on Schema design and safe evolution of a substantial relational model, including migration scripting and preservation of the platform's data-integrity and audit guarantees.</li><li>Good experience on React + TypeScript features from UI through hooks to API client, with disciplined layering and maintainable component architecture.</li><li>Working on maintaining Security posture. Authentication, session handling, role-based access control enforced server-side, and secure-coding practice across the stack</li><li>Full experience of Deployment and operations. Manual, script-based releases on Windows Server scheduled tasks, service management, and a vet-then-bundle dependency discipline (no runtime internet; all assets local and vetted at build time).</li><li><strong>Skills:</strong></li><li>Front-end: HTML, CSS, JavaScript, React + TypeScript. React 18, Vite, server-state management (React Query/TanStack), typed forms and validation, and data visualization.</li><li>Back-end: Node.js &amp; Express. Production API development with the mssql driver or comparable: pooling, timeouts, crash-resilient behavior.</li><li>Databases: Microsoft SQL Server / T-SQL primary competency. Stored procedures, views, and sequential migration scripting without an ORM or migration framework.</li><li>Application security fundamentals. Token-based auth, password hashing, RBAC design, XSS avoidance, CORS discipline, upload validation, and secrets handling.</li><li>On-premise Windows delivery. PowerShell scripting, Windows service and scheduled-task management, firewall configuration, and experience deploying without cloud CI/CD.</li><li>API development: RESTful APIs, GraphQL, JSON, authentication, and integration with third-party systems.</li><li>DevOps/basic deployment: CI/CD pipelines, Docker, and environment configuration.</li><li>Security: Authentication, authorization, secure coding practices, and data protection.</li><li><strong>Qualifications and certifications:</strong></li><li>A bachelor s degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, or a related field</li><li>Full Stack Engineer CV including Years of experience, Preferred Certification, and Technical Expertise:</li><li>Front-end: HTML, CSS, JavaScript, TypeScript, React, Angular, or Vue.js.</li><li>Back-end: Node.js, Java, Python, C#, .NET, PHP, or similar server-side technologies.</li><li>Databases: SQL Server, PostgreSQL or MySQL.</li><li>API development: RESTful APIs, GraphQL, JSON.</li><li>DevOps/basic deployment: CI/CD pipelines, Docker (bidder may share more than one CV)</li></ul>

Please submit your CV in English and indicate your level of English proficiency.<br><br>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.<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What this is NOT:<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What we look for:<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard:<br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>Requirements And Benefits<br><br>Educational qualifications<br><br>A Master's Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields. Bachelor's degree is accepted if only candidate has 5 years of experience in the field<br><br>Academic and/or Professional Experience<br><br>Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Compensation:<br><br>Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr. Because payment is per task, a faster pace raises your effective hourly rate.<br><br>Why this freelance opportunity might be a great fit for you? <br><br>Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. - Influence how future AI models understand and communicate in your field of expertise

<p>We are looking for an experienced .NET &amp; SharePoint Developer with 5+ years of hands-on experience in Microsoft .NET technologies and SharePoint development. The candidate will be responsible for developing, enhancing, maintaining, and supporting enterprise applications and SharePoint solutions in an onsite environment in Qatar.</p><p><strong>Required Skills &amp; Experience:</strong></p><ul><li>5+ years of professional experience in .NET development.</li><li>Strong experience with C#, ASP.NET, .NET Framework/.NET Core , and Web API.</li><li>Hands-on experience with Microsoft SharePoint development and administration.</li><li>Experience with SharePoint Online and/or SharePoint Server .</li><li>Good knowledge of SharePoint sites, lists, libraries, permissions, workflows, and customization.</li><li>Strong experience with SQL Server and database development.</li><li>Experience with HTML, CSS, JavaScript , and modern web development practices.</li><li>Experience with REST APIs and system integrations .</li><li>Strong debugging, troubleshooting, and problem-solving skills.</li><li>Good understanding of software development lifecycle and coding best practices.</li><li>Ability to work independently and effectively in an onsite client environment in Qatar .</li></ul><p><strong>Preferred Qualifications:</strong></p><ul><li>Experience with Microsoft 365, Power Automate, Power Apps , or Azure is an advantage.</li><li>SharePoint migration and upgrade experience is a plus.</li><li>Relevant Microsoft certifications will be an added advantage.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Strong communication and interpersonal skills. Ability to interact directly with clients and business stakeholders. Flexible and adaptable to a short-term project environment. Must be willing to work onsite in Qatar for the full 2-month contract duration</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job P-1021-Q - Analytics Applications Specialist <strong>Qualifications</strong> <ul><li><p>Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Science or other relevant disciplines<br>including Business, Accounting, Commercial, Marketing, Sciences, Engineering, Project Management, Supply Chain Management, Law, Communication, Technologies, Mathematics, and Statistics</p><br></li></ul> <p>Knowledge and/or Experience*</p><br><p><strong>Knowledge and/or Experience</strong></p><br> <ul><li><p>8 years experience in business related function or discipline, including 4 years in the Oil &amp; Gas Industry.</p><br></li><li><p>Experience with Oil &amp; Gas Companies, EPC contractors, subcontractors, vendors or service companies involved in the oil and gas<br>industry.</p><br></li><li><p>Knowledge in project business related function/discipline such as planning, scheduling, cost control, estimating, claim management, risk management, change management, procurement, pre- and post award contract management, actionable and informative reporting, support services, lessons learned, etc.</p><br></li><li><p>Knowledge in international standards, best practices and methodologies as it relates to business disciplines.</p><br></li><li><p>SME level competence in candidate's specific business discipline.</p><br></li><li><p>Knowledge of relevant business processes/procedures.</p><br></li><li><p>Experience with risk assessment approach in decision making.</p><br></li><li><p>Strong knowledge of relevant software and computer skills, e.g., dashboards, data analytics, SAP, etc. </p><br></li><li><p>Experience supporting large scale integrated operating and executing organizations, such as Operations, Projects, Subsurface, etc.</p><br></li></ul> <p><strong>Technical and Business Skills</strong></p><br> <ul><li><p>8 years' experience as a Power BI Developer/Dashboard Designer or<br>similar role —with a PL-300 certification considered a strong plus,<br>preferably within the Oil &amp; Gas Construction Industry.</p><br></li><li><p>Requires a minimum of 3 years of extensive experience developing custom Microsoft Power Platform solutions—featuring advanced proficiency in Power Apps (Canvas, Model-Driven, and Power Pages), Power Automate for process automation, and a strong technical understanding of solution management, environment governance, and Application Lifecycle Management (ALM)—with a PL-400 certification considered a strong plus.</p><br></li><li><p>A thorough knowledge of Data and Analytics with solid experience in interactive dashboard and reports development.</p><br></li><li><p>Strong IT and coordination skills.</p><br></li><li><p>Enforce data security best practices</p><br></li><li><p>Monitor and optimize database performance</p><br></li><li><p>Strong qualitative, quantitative analytical &amp; problem-solving skills.</p><br></li><li><p>Strong skills in Power BI, MS SQL, SharePoint, Excel, Power Platform including power Apps</p><br></li><li><p>Experience in Oracle's Primavera P6</p><br></li><li><p>Proficiency in:<br>o Power BI development, including report &amp; dashboard creation.<br>o Power Apps development, including Canvas Apps, Model-Driven Apps, and Power Pages.<br>o Power Automate for business process automation and cloud workflow creation.<br>o Data modelling and data visualization concepts.<br>o Data Analysis Expressions (DAX) &amp; Power Query.<br>o Low-code expressions, JSON handling, and custom API connector integration<br>o MS Office (especially Excel).<br>o ETL Tools like SSIS or Similar tools<br>o ASP.NET, SharePoint, HTML, CSS, etc.</p><br></li><li><p>Some experience in the following areas:<br>o Reports Automation using SSRS, Power Bi Report Builder or similar tools.<br>o SAP Analytics Cloud (SAC), SAP BusinessObjects Lumira.<br>o SAP Data Services &amp; WEBI (BusinessObjects Web<br>Intelligence)</p><br></li><li><p>5 years in SQL for data manipulation and extraction</p><br></li><li><p>Excellent written and spoken English.</p><br></li><li><p>Excellent communication and collaboration abilities.</p><br></li><li><p>Good supervisory skills.</p><br></li></ul> <br> <br> </div>