وظائف مطورين بايثون - مسقط سلطنة عمان

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Generative AI developer (experience 1 to 2 years) Early-career AI/ML Engineer supporting the development and deployment of Generative AI solutions (LLMs, RAG systems). Focus on hands-on implementation, integration, and learning-by-delivery, under guidance.</p><p>Must Have:</p><ul><li>Strong foundation in Python (data handling, APIs, scripts)</li><li>Understanding of APIs, Docker, or deployment workflows</li><li>Exposure to deploying ML/AI models (even in projects/internships)</li><li>Understanding of embeddings, retrieval flow</li><li>Hands-on exposure through projects</li><li>Experience working with GPT/Llama APIs</li><li>Ability to structure prompts and evaluate outputs</li><li>Vector Databases (Exposure Level) - Familiarity with FAISS / Chroma / Pinecone and basic usage in projects.</li><li>ML Fundamentals: Core concepts - overfitting, evaluation metrics, basic algorithms. Ability to reason about model behavior.</li></ul><p>Core Responsibilities (Execution Under Guidance)</p><ul><li>Assist in building RAG-based GenAI solutions for enterprise use cases.</li><li>Develop Python-based services/APIs integrating LLMs.</li><li>Support data preprocessing, embeddings, and retrieval pipelines.</li><li>Contribute to model deployment and integration tasks.</li><li>Debug and improve existing pipelines under supervision.</li><li>Work closely with senior engineers to understand production constraints (latency, cost, accuracy)</li></ul><p>Good to Have</p><ul><li>LangChain / LlamaIndex exposure</li><li>Cloud basics (Azure / AWS / GCP)</li><li>Basic understanding of CI/CD or MLOps concepts</li><li>Internship/project experience in GenAI or ML use cases</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Must Have:</p><ul><li>Strong foundation in Python (data handling, APIs, scripts)</li><li>Understanding of APIs, Docker, or deployment workflows</li><li>Exposure to deploying ML/AI models (even in projects/internships)</li><li>Understanding of embeddings, retrieval flow</li><li>Hands-on exposure through projects</li><li>Experience working with GPT/Llama APIs</li><li>Ability to structure prompts and evaluate outputs</li><li>Vector Databases (Exposure Level) - Familiarity with FAISS / Chroma / Pinecone and basic usage in projects.</li><li>ML Fundamentals: Core concepts - overfitting, evaluation metrics, basic algorithms. Ability to reason about model behavior.</li></ul><p>Core Responsibilities (Execution Under Guidance)</p><ul><li>Assist in building RAG-based GenAI solutions for enterprise use cases.</li><li>Develop Python-based services/APIs integrating LLMs.</li><li>Support data preprocessing, embeddings, and retrieval pipelines.</li><li>Contribute to model deployment and integration tasks.</li><li>Debug and improve existing pipelines under supervision.</li><li>Work closely with senior engineers to understand production constraints (latency, cost, accuracy)</li></ul><p>Good to Have</p><ul><li>LangChain / LlamaIndex exposure</li><li>Cloud basics (Azure / AWS / GCP)</li><li>Basic understanding of CI/CD or MLOps concepts</li><li>Internship/project experience in GenAI or ML use cases</li></ul><p>Experience &amp; Qualification</p><ul><li>Bachelor's in Computer Science / Data Science or related field.</li><li>12 years of experience in AI/ML (including internships and project work).</li><li>Exposure to at least one end-to-end ML/GenAI project (academic and professional).</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Overall Accountability: Overall 10 plus years of experience in Release Management which includes DevOps with expertise in with Configuration Management, Build, Release Management, Linux Administration, Continuous Integration, Configuration management, Automation, Monitoring, and Tooling. Broad practical knowledge of numerous CI/CD technologies.</p><p>Principal Accountabilities:</p><ul><li>Experienced in leading and managing Release Management activities including Deployment using DevOps, Deployment Automation, Configuration Management and Automation.</li><li>Multiple years of hands on experience in administration and configuration of argosCD, XL/digital.ai Deploy and XL/digital.ai Release Tool.</li><li>Multiple years of hands on experience in administration and automation of container based deployments in Kubernetes/OpenShift.</li><li>Experience in writing playbook / cookbooks/run books for application deployment.</li><li>Designed end to end automation of infrastructure and continuous delivery of the applications by integrating and automating with python/jython scripts, UNIX Shell scripting, Jenkins, Helm Chart, GitLAB and Sonartype Nexus.</li><li>Hands-on Experience of the J2EE Framework and its components as related to Java build, test, deployment and release management initiatives.</li><li>Good Knowledge and extensive working experience in handling GIT Repository.</li><li>Good Knowledge and extensive working experience in handling Sonartype Nexus Repository.</li><li>Good Knowledge and extensive working experience in Helm Charts and Repository.</li><li>Responsible for deploying best SCM processes and procedures in the organization.</li><li>Worked closely with software developers for controls, code integrity, and code conflict resolution.</li><li>Rich experience about Application Infrastructure (servers, load balancers, web application firewalls).</li><li>Ability to handle multiple and moderately sized assignments simultaneously.</li><li>Must have strong analytical, problem solving, communication, project management, and decision-making skills.</li><li>Excellent communication, interpersonal, intuitive, leadership skills with ability to work efficiently in both independent and team work environments.</li></ul><p>Technical Skills (Must Have)</p><ul><li>Environment: XL Deploy, XL Release, Jenkins, GIT, argosCD, Helm Charts, Sonartype Nexus</li><li>Operating Systems: Linux, Windows</li><li>Languages: Python, Jython, UNIX Scripting, Java.</li><li>Containers: Kubernetes, OpenShift</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Overall 10 plus years of experience in Release Management which includes DevOps with expertise in with Configuration Management, Build, Release Management, Linux Administration, Continuous Integration, Configuration management, Automation, Monitoring, and Tooling. Broad practical knowledge of numerous CI/CD technologies.</li><li>Experienced in leading and managing Release Management activities including Deployment using DevOps, Deployment Automation, Configuration Management and Automation.</li><li>Multiple years of hands on experience in administration and configuration of argosCD, XL/digital.ai Deploy and XL/digital.ai Release Tool.</li><li>Multiple years of hands on experience in administration and automation of container based deployments in Kubernetes/OpenShift.</li><li>Experience in writing playbook / cookbooks/run books for application deployment.</li><li>Designed end to end automation of infrastructure and continuous delivery of the applications by integrating and automating with python/jython scripts, UNIX Shell scripting, Jenkins, Helm Chart, GitLAB and Sonartype Nexus.</li><li>Hands-on Experience of the J2EE Framework and its components as related to Java build, test, deployment and release management initiatives.</li><li>Good Knowledge and extensive working experience in handling GIT Repository.</li><li>Good Knowledge and extensive working experience in handling Sonartype Nexus Repository.</li><li>Good Knowledge and extensive working experience in Helm Charts and Repository.</li><li>Responsible for deploying best SCM processes and procedures in the organization.</li><li>Worked closely with software developers for controls, code integrity, and code conflict resolution.</li><li>Rich experience about Application Infrastructure (servers, load balancers, web application firewalls).</li><li>Ability to handle multiple and moderately sized assignments simultaneously.</li><li>Must have strong analytical, problem solving, communication, project management, and decision-making skills.</li><li>Excellent communication, interpersonal, intuitive, leadership skills with ability to work efficiently in both independent and team work environments.</li><li>Technical Skills (Must Have) - o Environment: XL Deploy, XL Release, Jenkins, GIT, argosCD, Helm Charts, Sonartype Nexus o Operating Systems: Linux, Windows o Languages: Python, Jython, UNIX Scripting, Java. o Containers: Kubernetes, OpenShift</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Responsibilities:</strong></p> <p>Develop and maintain Odoo applications.</p> <p>Develop Odoo modules.</p> <p>Work with Odoo APIs.</p> <p><strong>Skills:</strong></p> <p>Odoo</p> <p>Python</p> <p>PostgreSQL</p> <p>XML</p> <p>JavaScript</p> <p>HTML</p> <p>CSS</p> <p><strong>Qualifications:</strong></p> <p>Modules</p> <p>Odoo</p> <p>REST APIs</p> <p>Odoo ERP</p> <p>HR</p> <p>Accounting</p> <p>CRM</p> <p>Inventory</p> <p>Docker</p> <p>Linux Server Management</p> <p>Git</p> <p>Version Control</p> <p>ERP</p></div></section>

<p>Job Description: Hands-on development on a live production SaaS platform. The role covers end-to-end feature delivery, API design, database schema, business logic, and the frontend built on top of it. The focus is backend, with full ownership of features from specification through to production. Responsibilities: Design, build and maintain REST APIs and backend services in production Design and evolve database schema — tables, constraints, indexes, migrations Develop frontend interfaces for delivered features (React / Next.js) Integrate third-party APIs and external services Write and review database migrations before they reach production Debug and resolve production issues Deploy, monitor and maintain delivered work Short release cycles, direct ownership of shipped features, and involvement across the full stack of the product.</p><p>• 2+ years building production backend systems — REST APIs, authentication, integrations, background jobs • Strong in at least one modern backend stack: Python, Node.js, Go, Java or similar • Solid relational database skills — schema design, constraints, indexes, migrations. Comfortable writing SQL, not only ORM calls • Frontend ability — React or a modern JavaScript framework, sufficient to build and ship user-facing features • Proven ownership of features from specification through to production • Clear written English • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Preferred: • Python / FastAPI — the primary backend stack for this role • Next.js / React • PostgreSQL, and Supabase or another Postgres-based BaaS • Row-Level Security • Migration discipline (Alembic or equivalent) • Async programming • Third-party API integration under real constraints • Cloud deployment, monitoring and CI/CD Candidates who have moved into DevOps or platform engineering and no longer write application code daily, or who prefer backend-only roles with no frontend involvement, are unlikely to be a good match. Applicants should state in the first line of their application: the backend service they are most proud of — the stack used, what it did, and a repository link if public. Applications that do not include this will not be reviewed.</p>

<p>Develop novel state-of-the-art vision algorithms and corresponding systems, leveraging deep learning techniques. Research, develop and prototype advanced computer vision technologies and integration with hardware edge processors. Develop high-quality computer vision algorithms for localization, object detection, classification, and video analysis. Translate algorithms into production-level code. Contribute to a large code base in Python for deploying these models in production environments. Implement best practices for data collection, preprocessing, feature engineering, and model training, and ensure that the team follows these practices consistently Conduct regular code reviews and provide technical guidance and feedback to team members, ensuring that they produce high-quality code that is efficient, scalable, and maintainable. Interface with the Product/Project manager to develop R&amp;D plans, proposals, intellectual property filings, commercialization strategies and other material that facilitate the innovation process. Collaborate with Product/Project managers in maintaining a roadmap for the team's AI projects, including identifying key milestones, timelines, and resource requirements. Collaborate with team members to develop, test, deploy, and maintain software/AI systems while being actively involved in product backlog grooming, sprint planning, execution, review, and retrospectives. Work with IT, software and security teams to deploy production grade AI solutions that comply with relevant data privacy and security regulations. Collaborate with subject matter experts to understand their business needs and develop ML solutions that meet their requirements.</p><p><strong>Desired Candidate Profile</strong></p><p>Minimum Qualifications Bachelor s degree in AI, Remote Sensing, Survey, Engineering, or any other related fields Minimum Experience: Preferably 1-3 years experience in the same field Job-Specific Knowledge &amp; Skills: Experience developing machine learning models and neural network-based computer vision models. Experience deploying production grade ML and vision systems on the edge for real-time applications. Python Knowledge. Strong software engineering skills. Strong ability to present work and communicate ideas to technical and non-technical coworkers. Experience with machine learning libraries such as Tensorflow, Keras, Sklearn and others. Experience using OpenCV. Experience with git and other such versioning tools. Experience with DevOps cloud tools (AWS, Google Cloud etc.). Experience with NVIDIA Triton inference server will be plus Experience with MLOps tools such as Kubeflow will be a plus. Experience with web development frameworks (e.g Flask, Django) will be a plus Experience handling a large code base in python will be a plus. Experience developing computer vision algorithms for anomaly detection will be a plus. Fluency in English.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The incumbent is expected to demonstrate strong adaptability, a collaborative mindset, and a commitment to continuous learning, while also showing high cultural sensitivity and consistently acting in a proactive and responsible manner across all assigned tasks.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in computer science or information technology from a recognized University.</li><li>Minimum one year of experience</li><li>Proficiency in programming languages (e.g., Python, Java, C++, PhP)</li><li>Strong troubleshooting and technical support skills</li><li>Knowledge of operating systems, networking, and databases</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Odoo Development &amp; Migration</strong></p><ul><li><p>Develop, customise, and maintain Odoo 17 modules.</p></li><li><p>Plan and execute migration from Odoo 17 to Odoo 19.</p></li><li><p>Refactor and upgrade custom modules to align with Odoo 19 framework updates.</p></li><li><p>Perform database migration, validation, and integrity testing.</p></li><li><p>Upgrade third-party modules and resolve compatibility issues.</p></li><li><p>Develop new modules following Odoo best practices and coding standards.</p></li><li><p>Optimise system performance and improve overall ERP efficiency.</p></li><li><p>Manage API integrations and third-party system connectivity.</p></li><li><p>Provide post-migration support, troubleshooting, and user assistance.</p><p><br></p></li></ul><p><strong>IT Operations &amp; Infrastructure</strong></p><ul><li><p>Oversee and maintain company IT systems and infrastructure.</p></li><li><p>Administer Linux servers, hosting environments, and deployments.</p></li><li><p>Manage network systems, user access controls, and cybersecurity measures.</p></li><li><p>Implement and monitor backup solutions and disaster recovery plans.</p></li><li><p>Provide technical support for hardware, software, and internal systems.</p></li><li><p>Manage IT assets, hardware procurement, and maintenance schedules.</p></li><li><p>Administer email systems, cloud platforms, and collaboration tools.</p></li><li><p>Maintain IT documentation, system logs, and operational procedures.</p></li><li><p>Coordinate with external vendors and service providers when required.</p><p><br></p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Required Qualifications &amp; Skills</strong></p><ul><li><p>Strong proficiency in Python and Odoo framework.</p></li><li><p>Mandatory hands-on experience in Odoo version migration.</p></li><li><p>Solid understanding of Odoo ORM and module architecture.</p></li><li><p>PostgreSQL database management experience.</p></li><li><p>Knowledge of XML, QWeb, and JavaScript (OWL framework is an advantage).</p></li><li><p>Experience with Git version control.</p></li><li><p>Linux server administration experience.</p></li><li><p>Basic to intermediate networking and cybersecurity knowledge.</p><br></li></ul><p><strong>Experience Requirements</strong></p><ul><li><p>Minimum 3 years of Odoo development experience.</p></li><li><p>Proven track record in ERP system upgrades or migrations.</p></li><li><p>Experience in IT support and infrastructure management preferred.</p></li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p><b>Discover the Opportunity </b></p><br><p>We are looking for an ML powerhouse to join us in beautiful Muscat! If you’re a Senior ML Engineer who loves getting under the hood of high-performance computing (HPC) and hardware acceleration to solve massive business challenges, we want to chat. ?</p><br><p>This isn't just about building models; it’s about leading the charge on design, optimization, and deployment at scale. You’ll be our go-to expert for turning complex problems into sleek, AI-driven reality.</p><br><p>​</p><br><p><b>Discover the Role</b></p><br><ul><li><p><b>Building the Engine: </b>Architecting production-ready ML pipelines from scratch—from training all the way to deployment.</p><br></li><li><p><b>Pushing Limits: </b>Optimizing workloads using CUDA, cuDNN, and Nvidia TensorRT to make sure everything runs lightning-fast.</p><br></li><li><p><b>The Heavy Lifting: </b>Doing the deep-dive data analysis and feature engineering needed for top-tier datasets.</p><br></li><li><p><b>Leading the Pack: </b>Mentoring junior engineers, heading up code reviews, and making sure we’re always following best practices.</p><br></li><li><p><b>Collaborating: </b>Working closely with stakeholders to turn business needs into technical wins.</p><br></li><li><p><b>Staying Sharp: </b>Keeping us on the cutting edge by staying obsessed with the latest AI/ML advancements.</p><br></li></ul><p>​</p><br><p><b>Discover the Required</b></p><br><ul><li><p>5+ years of hands-on experience developing and deploying ML models.</p><br></li><li><p>A pro with Python, TensorFlow, and PyTorch.</p><br></li><li><p>Experience with tools like MLflow or Kubeflow.</p><br></li><li><p>Advanced skills in Docker, REST APIs, and Git.</p><br></li><li><p>Someone who knows their way around Nvidia Nsight, PyTorch Profiler, or Tensorboard for optimization.</p><br></li><li><p>Experience deploying AI solutions on AWS, GCP, or Azure.</p><br></li><li><p>Strong leadership vibes and the ability to explain "techy" things to non-techy people.</p><br></li><li><p>A Bachelor’s or Master’s in Computer Science, Data Science, or a related field.</p><br></li></ul><p>​</p><br><p><b>​Relocation support will be provided.</b></p><br><br> </div>

<p><h4>Description</h4> <p>The role</p> <p>We are looking for a hands-on senior ML engineer to lead the development and operation of production-grade AI systems across LLMs, OCR, and voice. This role combines deep technical ownership with leadership of a high-performing team of junior engineers, as well as direct engagement with stakeholders to shape AI solutions.</p> <p><strong>Responsibilities:</strong></p> <ul> <li>Lead and mentor a team of highly talented junior ML engineers through:<br>   • Code reviews, design reviews, and technical direction<br>   • Enforcement of strong software engineering and ML best practices</li> <li>Design, deploy, and operate scalable AI systems with a focus on reliability and performance</li> <li>Lead production deployment of LLMs and multimodal systems (RAG, OCR, voice)</li> <li>Own <strong>model performance end-to-end</strong>, combining evaluation, observability, and hardware optimization:<br>   • Build evaluation pipelines (benchmarks, regression testing, LLM-as-judge)<br>   • Implement deep observability (tracing, latency, error tracking)<br>   • Optimize GPU utilization (multi-GPU serving, batching, quantization, memory tuning)<br>   • Continuously improve throughput, latency, and cost efficiency</li> <li>Architect and manage GPU infrastructure:<br>   • Model serving, load balancing, and scaling strategies<br>   • Hardware-aware deployment and performance tuning</li> <li>Build and maintain robust MLOps pipelines:<br>   • Model/version management, CI/CD, automated testing, and rollback strategies<br>   • Monitoring and feedback loops for continuous improvement</li> <li>Engage directly with clients and stakeholders to:<br>   • Gather and clarify business requirements<br>   • Translate non-technical needs into well-defined technical problems<br>   • Communicate solutions, trade-offs, and progress through clear documentation, reports, and proposals</li> <li>Contribute hands-on to system design, implementation, debugging, and production incident resolution</li> </ul> <p><strong>Requirements</strong></p> <ul> <li>Proven experience deploying LLMs in production</li> <li>Strong experience with GPU-based inference and optimization</li> <li>Solid backend engineering skills (Python, APIs, distributed systems)</li> <li>Experience with MLOps and production ML systems</li> <li>Experience with OCR/document AI and/or voice systems (STT/TTS)</li> <li>Experience with Docker and Kubernetes</li> <li>Strong understanding of modern AI architectures (RAG, vector DBs, agent workflows)</li> <li>Experience mentoring or leading engineers</li> <li>Strong communication skills with the ability to bridge business and technical domains</li> </ul> <p><strong>Nice to have:</strong></p> <ul> <li>Experience with open-weight models (Qwen, Llama, DeepSeek, Gemma)</li> <li>Experience with on-prem / sovereign AI deployments</li> <li>Experience with LoRA / fine-tuning</li> <li>Multilingual or Arabic NLP experience</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The role</p> <p>We are looking for a hands-on senior ML engineer to lead the development and operation of production-grade AI systems across LLMs, OCR, and voice. This role combines deep technical ownership with leadership of a high-performing team of junior engineers, as well as direct engagement with stakeholders to shape AI solutions.</p> <p><strong>Responsibilities:</strong></p> <ul> <li>Lead and mentor a team of highly talented junior ML engineers through:<br>   • Code reviews, design reviews, and technical direction<br>   • Enforcement of strong software engineering and ML best practices</li> <li>Design, deploy, and operate scalable AI systems with a focus on reliability and performance</li> <li>Lead production deployment of LLMs and multimodal systems (RAG, OCR, voice)</li> <li>Own <strong>model performance end-to-end</strong>, combining evaluation, observability, and hardware optimization:<br>   • Build evaluation pipelines (benchmarks, regression testing, LLM-as-judge)<br>   • Implement deep observability (tracing, latency, error tracking)<br>   • Optimize GPU utilization (multi-GPU serving, batching, quantization, memory tuning)<br>   • Continuously improve throughput, latency, and cost efficiency</li> <li>Architect and manage GPU infrastructure:<br>   • Model serving, load balancing, and scaling strategies<br>   • Hardware-aware deployment and performance tuning</li> <li>Build and maintain robust MLOps pipelines:<br>   • Model/version management, CI/CD, automated testing, and rollback strategies<br>   • Monitoring and feedback loops for continuous improvement</li> <li>Engage directly with clients and stakeholders to:<br>   • Gather and clarify business requirements<br>   • Translate non-technical needs into well-defined technical problems<br>   • Communicate solutions, trade-offs, and progress through clear documentation, reports, and proposals</li> <li>Contribute hands-on to system design, implementation, debugging, and production incident resolution</li> </ul> <p><strong>Requirements</strong></p> <ul> <li>Proven experience deploying LLMs in production</li> <li>Strong experience with GPU-based inference and optimization</li> <li>Solid backend engineering skills (Python, APIs, distributed systems)</li> <li>Experience with MLOps and production ML systems</li> <li>Experience with OCR/document AI and/or voice systems (STT/TTS)</li> <li>Experience with Docker and Kubernetes</li> <li>Strong understanding of modern AI architectures (RAG, vector DBs, agent workflows)</li> <li>Experience mentoring or leading engineers</li> <li>Strong communication skills with the ability to bridge business and technical domains</li> </ul> <p><strong>Nice to have:</strong></p> <ul> <li>Experience with open-weight models (Qwen, Llama, DeepSeek, Gemma)</li> <li>Experience with on-prem / sovereign AI deployments</li> <li>Experience with LoRA / fine-tuning</li> <li>Multilingual or Arabic NLP experience</li> </ul></p><p></p>

<ul><li>Serve as L1/L2 point of contact via ticketing system, email, phone, and chat for telematics/GPS/IVMS issues.</li><li>Diagnose and resolve hardware, and connectivity issues in coordination with operation team.</li><li>Configure and provision devices and assets (IMEI/SN mapping, firmware updates, parameter settings, geofences, alerts, user roles).</li><li>Handle customer queries via phone, email, or ticketing system.</li><li>Guide customers through installation checks and best practices; coordinate with field installers for RMA or onsite fixes.</li><li>Investigate data quality issues (GPS drift, no-fix, harsh event spikes, odometer mismatch) and perform root-cause analysis.</li><li>Deliver client training and onboarding for tracking software.</li><li>Monitor device data, GPS accuracy, and platform uptime.</li><li>Coordinate with installers and field teams for on-site issues.</li><li>Document issues, resolutions, and maintain support reports.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Knowledge of devices such as Teltonika, Queclink, Concox, or Ruptela.</li><li>Understanding of GPRS/LTE, IP/Port, SIM/APN, CAN/FMS data.</li><li>Exposure to CAN bus/FMS/J1939, fuel level calibration, DTCs, immobilizer/relay wiring.</li><li>Experience with tracking platforms.</li><li>Strong communication & customer service skills (English essential; Arabic a plus).</li><li>Basic knowledge of API testing, JSON logs, or Postman preferred.</li><li>Knowledge of Oman IVMS compliance and local regulations.</li><li>Familiarity with fuel/temperature sensors, ADAS/DMS, or MDVR systems.</li><li>Basic scripting (Python, SQL) or report generation skills.</li></ul>

<p>We're partnering with a leading technology consultancy to find a Senior IPA Developer with deep UiPath expertise to join their growing automation practice in Muscat. Discover the Role You'll take the lead on designing, developing, testing, and maintaining UiPath automation solutions for enterprise clients. Beyond delivery, you'll mentor junior team members, manage project timelines, and be a trusted advisor on all things RPA.</p><p>• Designing and implementing UiPath workflows using UiPath Studio and related tools.</p><p>• Troubleshooting and debugging automation solutions to meet client expectations.</p><p>• Building custom activities and reusable components to improve efficiency.</p><p>• Collaborating with business stakeholders, analysts, and technical teams to integrate solutions.</p><p>• Leading code reviews and QA activities to ensure adherence to best practices.</p><p>• Supporting business case development for further RPA adoption.</p><p>• Mentoring junior developers and contributing to their RPA skill development.</p><p>• Managing project documentation and ensuring knowledge transfer to clients.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>5+ years of experience in software development or automation using RPA tools.</li><li>Minimum 3 years of UiPath development experience.</li><li>UiPath RPA Developer Advanced Certification (UiARD) mandatory.</li><li>Strong UiPath Documents understanding skills.</li><li>Experience with IDP, OCR, AI/ML technologies (UiPath, ABBYY, Google, Microsoft).</li><li>Programming skills in C#.Net, VB.NET, C++, Python, or Java.</li><li>Scripting experience: PowerShell, VBA, VBScript, Bash.</li><li>Database knowledge (SQL, NoSQL) and API experience.</li><li>Telecom industry background is a must.</li><li>Agile delivery experience and excellent communication skills.</li></ul>

<p>Are you an expert UiPath Architect ready to lead high-impact automation initiatives? We are seeking a Solution Architect to serve as the technical mastermind behind expanding, enterprise-grade Intelligent Process Automation (IPA) architectures for a huge telecom organization.</p><p><strong>Discover the Responsibilities</strong></p><ul><li>Design scalable, sustainable, end-to-end RPA frameworks and write comprehensive Solution Design Documents (SDD).</li><li>Incorporate cutting-edge UiPath capabilities, including Intelligent Document Processing (IDP), Document Understanding, OCR, and AI/ML models into enterprise workflows.</li><li>Enforce development best practices, conduct code reviews, and guide high-performing developer teams to align with core architectural standards.</li><li>Oversee seamless integrations between UiPath software and legacy IT infrastructure, databases (SQL/NoSQL), and APIs.</li><li>Act as the strategic bridge between business leads and development teams to translate operational requirements into technical automation solutions.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Discover the Requirements</strong></p><ul><li>Experience: 7+ years in software development or RPA, with at least 3+ years specifically as a UiPath Solution Architect.</li><li>Certification: UiPath Advanced RPA Developer (UiARD) or UiPath Certified Professional certification is required.</li><li>Deep proficiency in UiPath Document Understanding and IDP capabilities.</li><li>Hands-on coding experience in C#, .NET, Python, or Java.</li><li>Strong scripting skills in PowerShell, JavaScript, or VBA.</li><li>Solid database experience (SQL/NoSQL) and building/consuming REST/SOAP APIs.</li><li>Domain Background: Proven track record delivering complex automation projects within enterprise or regulated domains (e.g., Telecom, Banking, or Energy). This role is located in Muscat, Oman - a stunning coastal capital known for its breathtaking natural landscapes, from dramatic mountain ranges to clear turquoise wadis. It offers a peaceful, high-quality lifestyle while being just a short 1-hour flight from Dubai.</li></ul>

<p>The Senior Software Engineer designs, develops, implements, and supports secure, scalable, and high-quality software solutions that enable the Bank's digital products and technology services. He/She leads the delivery of complex software initiatives, establishes engineering best practices, ensures operational excellence, and collaborates with cross-functional teams to deliver reliable, maintainable, and high-performing technology solutions.The Senior Software Engineer promotes engineering excellence by driving software quality, automation, technical innovation, secure development practices, and continuous improvement while mentoring engineers and contributing to the Bank's technology transformation initiatives. Key Accountabilities: Mentors and coaches software engineers through technical guidance, knowledge sharing, design reviews, and continuous professional development. Drives continuous improvement by identifying opportunities to optimize software architecture, development processes, automation, operational efficiency, and technology practices. Maintains technical documentation, development standards, operational procedures, and knowledge repositories to support sustainable application lifecycle management. Ensures compliance with the Bank's technology policies, information security standards, regulatory requirements, and software engineering governance frameworks. Performs any other responsibilities consistent with the scope of the role, as assigned by the line manager.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline. Equivalent practical experience may be considered.</li><li>Minimum of 6 years of professional software engineering experience, including experience designing, developing, and supporting production-grade applications and services.</li><li>Demonstrated experience delivering scalable enterprise software solutions across the full software development lifecycle.</li><li>Strong experience with one or more modern programming languages such as Python, Java, Go, TypeScript, Dart, or similar technologies.</li><li>Experience developing and supporting RESTful APIs, microservices, distributed applications, and modern software architecture.</li><li>Experience with relational databases, data modelling, API integration, application performance optimization, and cloud-native application development.</li><li>Experience with CI/CD pipelines, DevOps practices, containerization technologies, Infrastructure as Code (IaC), and cloud platforms such as OCI, AWS, Azure, or Google Cloud.</li><li>Knowledge of software engineering best practices including version control, automated testing, secure coding, code reviews, and release management.</li><li>Experience developing or supporting Artificial Intelligence, machine learning, or intelligent automation solutions is preferred.</li></ul>

<p>The Senior Software Engineer designs, develops, implements, and supports secure, scalable, and high-quality software solutions that enable the Bank's digital products and technology services. He/She leads the delivery of complex software initiatives, establishes engineering best practices, ensures operational excellence, and collaborates with cross-functional teams to deliver reliable, maintainable, and high-performing technology solutions.The Senior Software Engineer promotes engineering excellence by driving software quality, automation, technical innovation, secure development practices, and continuous improvement while mentoring engineers and contributing to the Bank's technology transformation initiatives. Key Accountabilities: Mentors and coaches software engineers through technical guidance, knowledge sharing, design reviews, and continuous professional development. Drives continuous improvement by identifying opportunities to optimize software architecture, development processes, automation, operational efficiency, and technology practices. Maintains technical documentation, development standards, operational procedures, and knowledge repositories to support sustainable application lifecycle management. Ensures compliance with the Bank's technology policies, information security standards, regulatory requirements, and software engineering governance frameworks. Performs any other responsibilities consistent with the scope of the role, as assigned by the line manager.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline. Equivalent practical experience may be considered. Minimum of 6 years of professional software engineering experience, including experience designing, developing, and supporting production-grade applications and services. Demonstrated experience delivering scalable enterprise software solutions across the full software development lifecycle. Strong experience with one or more modern programming languages such as Python, Java, Go, TypeScript, Dart, or similar technologies. Experience developing and supporting RESTful APIs, microservices, distributed applications, and modern software architecture. Experience with relational databases, data modelling, API integration, application performance optimization, and cloud-native application development. Experience with CI/CD pipelines, DevOps practices, containerization technologies, Infrastructure as Code (IaC), and cloud platforms such as OCI, AWS, Azure, or Google Cloud. Knowledge of software engineering best practices including version control, automated testing, secure coding, code reviews, and release management. Experience developing or supporting Artificial Intelligence, machine learning, or intelligent automation solutions is preferred.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Develop and customize Odoo modules to meet specific business needs, ensuring seamless integration with existing systems.</li><li>Collaborate with cross-functional teams to gather requirements and translate them into functional specifications for Odoo applications.</li><li>Implement data migration strategies to ensure smooth transitions between systems while preserving data integrity.</li><li>Conduct thorough testing of Odoo applications, identifying and resolving bugs or issues to maintain high-quality standards.</li><li>Provide ongoing technical support and training to end-users to enhance their understanding and effective use of Odoo.</li><li>Create and maintain detailed documentation for custom modules and integrations, facilitating knowledge transfer within the team.</li><li>Optimize Odoo performance through code review and implementing best practices in development and deployment.</li><li>Stay updated on the latest Odoo releases and features, actively participating in community forums to share insights and solutions.</li><li>Assist in the deployment of Odoo in cloud environments, configuring instances to match organizational requirements.</li><li>Participate in agile development processes, contributing to sprint planning, reviews, and retrospectives to improve team efficiency.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Information Technology, or related field, ensuring a solid foundational knowledge in programming and systems analysis.</li><li>At least 3 years of hands-on experience with Odoo development and customization, showcasing a track record of successful project implementations.</li><li>Proven expertise in Python programming and PostgreSQL database management, essential for effective Odoo module development.</li><li>Familiarity with front-end technologies such as JavaScript, HTML, and CSS, enabling comprehensive development of user interfaces.</li><li>Experience with version control systems like Git, highlighting the importance of collaborative coding practices.</li><li>Strong problem-solving abilities with a keen attention to detail, ensuring high-quality deliverables and timely project completion.</li><li>Excellent communication skills in English, both written and verbal, facilitating effective collaboration with team members and stakeholders.</li><li>Certifications in Odoo development or related platforms, demonstrating commitment to professional growth and industry standards.</li><li>A proactive approach to learning and adapting to new technologies, ensuring the ability to leverage emerging trends in Odoo development.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Core Responsibilities</strong></p><ul><li><strong>Core Engineering Fundamentals</strong><ul><li>Code Structure: Strong understanding of Object-Oriented Programming (OOP) and Design Patterns, with a commitment to writing clean, concise, and well-documented code.</li><li>Frontend Development: Full proficiency in vanilla JavaScript, with the ability to build advanced functionalities without heavy reliance on external libraries.</li><li>Advanced Performance: Practical experience in developing multithreaded applications and implementing performance optimization techniques to ensure system stability under heavy workloads.</li></ul></li><li><strong>Development Lifecycle Management</strong><ul><li>Manage all phases of software component development, including design, implementation, testing, and deployment.</li><li>Ensure solutions are:<ul><li>Technically feasible: Efficient in terms of cost and effort.</li><li>Scalable &amp; Sustainable: High-performance, reusable components, and scalable systems.</li></ul></li></ul></li><li><strong>Technical Documentation</strong><ul><li>Develop and maintain comprehensive technical documentation, including:<ul><li>Technical Specifications: Detailed system architecture documentation.</li><li>Data Mapping &amp; Program Logic: Document data flows and program logic.</li><li>Visual Models: Use flowcharts and diagrams to illustrate workflows.</li></ul></li></ul></li></ul><p><strong>Required Skills</strong></p><ul><li>Native Arabic speaker.</li><li>Strong understanding of OOP and design patterns.</li><li>Proficient in vanilla JavaScript.</li><li>Develop, debug, deploy, and test cost-effective, scalable, high-performance, and reusable components.</li><li>Develop and maintain system documentation (technical specs, data mapping, program logic, flowcharts).</li><li>Excellent written and verbal communication skills.</li><li>Write clear, concise, and well-documented code.</li><li>Experience in multithreaded application development and performance optimization.</li></ul><p><strong>Experience Requirements</strong></p><ul><li>Minimum 7 years overall in web application development.</li><li>At least 2 years in ReactJS and React Native.</li><li>Strong experience in ASP.NET Web Forms.</li><li>Strong experience in building Web Services (REST &amp; SOAP).</li><li>Strong experience in Data Access technologies: ADO.NET, LINQ, Entity Framework.</li><li>Strong experience in .NET technologies and Oracle databases, including query and stored procedure optimization.</li><li>Minimum 2 years in mobile application development.</li><li>Web technologies: HTML5, jQuery, Responsive Web Design (RWD).</li></ul><p><strong>Preferred/Plus Skills</strong></p><ul><li>C# Windows Services.</li><li>Python.</li><li>Machine Learning &amp; Deep Learning.</li><li>Embedded AI Systems.</li><li>TensorFlow &amp; OpenCV.</li></ul><p><strong>Behavioural Competencies</strong></p><ul><li>Discipline and initiative.</li><li>Ability to work effectively in a team environment.</li><li>Maintain confidentiality of sensitive information.</li><li>Clear and precise communication with internal teams.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Minimum Qualifications</strong></p><p>Bachelor s degree in Computer Science, Software Engineering, Information Technology, or equivalent.</p><p>Minimum 7 years of professional experience in web application development.</p><p>Native Arabic speaker.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job title Lead Data Management Grade 7 Stream Operated Assets Function Subsurface &amp; Operation 60&amp;48- Subsurface Data Management Location Oman - Muscat Budget control *OPEX and/or CAPEX and/or Revenue amount as relevant* Reporting to Manager Data Management Direct reports n/a Job purpose Provide strong technical support on Data Management at Upstream Operated Assets - Planning &amp; Performance, under Manager Data Management scope s, acting expert owner of Data Management standards, by:(1) Interface and lead the interactions with specialized vendors to receive, QC, store and publish the relevant Well, Log and Reservoir data, (2) Interface with Government to maintain the relevant databases; in order to support Planning &amp; Performance team to attain business goals, (3) Develop AI and machine learning tools to optimize cost and production and other critical streams, (4) Use data science to analyze the data and work closely with the subsurface and engineering technical teams on this analysis The position will act in accordance with the Group s Mission, Vision, Values &amp; Strategies, as well as, policies, guidelines, and international standards, supported by an IT Technology platform, HSE standards, Omani s government &amp; other legal justifications, and best international practices in consonance with national objectives. Main tasks and responsibilities Execute end-to-end process for the maintenance of all existing Subsurface Databases Execute end-to-end process for well and reservoir data in share drives Work with Vendors to receive, QC, store and publish the relevant Well, Log and Reservoir data Ensure and participate in the development and implementation of the upstream technical data operating model/data frameworks (i.e. governance, quality, etc.)/guidelines, roadmaps / data standards / best practices while maintaining the highest standards of data quality, accessibility, extraction and connectivity to the upstream Petro technical applications. Define and govern the data stewardship for the company upstream technical data to ensure compliance with data governance, enhance data quality and ensure clear accountability for stewardship of the company data assets. Participate in the development of the upstream technical data strategy, governance initiatives/activities (policies, procedures, structures, roles and responsibilities) to serve the upstream data users across OQEP and to maximize the upstream technical data full potential. Promote across the organization awareness of general data management principles through knowledge sharing channels like awareness sessions, training, etc. Develop and execute data science projects using machine learning and other data science analysis techniques Work with vendors on new technologies related to data analysis and AI Key interactions Internal: Upstream External: Specialized Contractors, Technical committees, Ministries Notable Working Conditions. Office environment, Moderate to intensive computer screen use.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in computer science/information technology/ or engineering preferably in subsurface discipline, postgraduate degree is preferable.</li><li>Excellent knowledge of written, read, and spoken English (required)</li><li>Arabic - Native (desirable)</li><li>8+ years of experience in information technology and relevant business disciplines</li><li>Experience in Document management applications like Documentum D2</li><li>Experience in WebGIS application</li><li>Experience in handling large data sets</li><li>Experience in handling live data sources</li><li>Experience in handling different data types</li><li>Experience with machine learning, neural networks and AI</li><li>Detail-oriented.</li><li>Interpersonal skills.</li><li>Reliable.</li><li>Problem-solving skills.</li><li>Organizational skills.</li><li>Strong written and verbal communication skills</li><li>Presentation skills.</li><li>Encourage engagement.</li><li>Be organized.</li><li>Interest in helping businesses and organizations succeed through innovation and fresh thinking.</li><li>Ability to easily digest and simplify complex concepts into easy-to-understand summaries.</li><li>A flexible attitude to work assignments.</li><li>Computer Literacy including MS Office</li><li>Experience in Python and/or other coding languages</li><li>Experience in managing large datasets</li><li>SAP experience is a Plus</li><li>APEX/SQL experience is a Plus</li><li>C++ and Java experience is a major plus</li><li>Experience Mobile APP development is major plus</li></ul><p></p></section>

<p><h4>Description</h4> <p>Mindrift is looking for skilled bot developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project and build conversational bots and messaging-platform integrations within our hybrid AI + human environment. In this role, as an AI pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem agents that handle repetitive tasks, while you provide bot engineering expertise, conversational design judgment, and quality control to ensure bots are reliable, useful, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tendem project. As a bot developer, you'll design, build, and refine messaging bots across WhatsApp, Telegram, Discord, and similar platforms — for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.</p> <h4>Key responsibilities</h4> <ul> <li>Build bots for WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, and similar messaging platforms.</li> <li>Design and implement conversational flows, dialogue state, and fallback handling.</li> <li>Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.</li> <li>Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).</li> <li>Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).</li> <li>Evaluate AI-generated bot code and refactor it for correctness, reliability, and graceful error handling.</li> <li>Implement logging, monitoring, and recovery so bots stay healthy in production.</li> </ul> <h4>Requirements and benefits</h4> <h4>Educational qualifications</h4> <ul> <li>At least 3 years of relevant experience backend, integration, automation, or bot development experience (required).</li> <li>Bachelor's or master's degree in computer science, engineering, information technology, or related technical fields is a plus.</li> </ul> <h4>Academic and/or professional experience</h4> <p>Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows. We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and refine AI-assisted output into stable, user-friendly experiences. Strong problem-solving skills, attention to detail, and the ability to work independently are essential.</p> <h4>Technical skills (essential)</h4> <ul> <li>At least 1 year of hands-on experience building bots for major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required.</li> <li>Strong command of Python or Node.js for backend bot logic.</li> <li>Solid experience with REST APIs, webhooks, OAuth, and async request handling.</li> <li>Experience with relational or NoSQL databases for storing conversation state and user data.</li> <li>Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.</li> <li>Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages).</li> <li>Experience with hosting and deployment (Docker, serverless, VPS, or PaaS).</li> </ul> <h4>Additional requirements</h4> <ul> <li>Strong attention to detail and commitment to bot reliability — no silent failures, no broken flows.</li> <li>Self-directed work ethic with the ability to design and ship complete bots independently.</li> <li>Portfolio or examples of bots you've built (required).</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> </ul> <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 $60 per hour equivalent, depending on their level and pace of contribution. 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> <h4>Why this freelance opportunity might be a great fit for you?</h4> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for skilled bot developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project and build conversational bots and messaging-platform integrations within our hybrid AI + human environment. In this role, as an AI pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem agents that handle repetitive tasks, while you provide bot engineering expertise, conversational design judgment, and quality control to ensure bots are reliable, useful, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tendem project. As a bot developer, you'll design, build, and refine messaging bots across WhatsApp, Telegram, Discord, and similar platforms — for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.</p> <h4>Key responsibilities</h4> <ul> <li>Build bots for WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, and similar messaging platforms.</li> <li>Design and implement conversational flows, dialogue state, and fallback handling.</li> <li>Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.</li> <li>Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).</li> <li>Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).</li> <li>Evaluate AI-generated bot code and refactor it for correctness, reliability, and graceful error handling.</li> <li>Implement logging, monitoring, and recovery so bots stay healthy in production.</li> </ul> <h4>Requirements and benefits</h4> <h4>Educational qualifications</h4> <ul> <li>At least 3 years of relevant experience backend, integration, automation, or bot development experience (required).</li> <li>Bachelor's or master's degree in computer science, engineering, information technology, or related technical fields is a plus.</li> </ul> <h4>Academic and/or professional experience</h4> <p>Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows. We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and refine AI-assisted output into stable, user-friendly experiences. Strong problem-solving skills, attention to detail, and the ability to work independently are essential.</p> <h4>Technical skills (essential)</h4> <ul> <li>At least 1 year of hands-on experience building bots for major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required.</li> <li>Strong command of Python or Node.js for backend bot logic.</li> <li>Solid experience with REST APIs, webhooks, OAuth, and async request handling.</li> <li>Experience with relational or NoSQL databases for storing conversation state and user data.</li> <li>Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.</li> <li>Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages).</li> <li>Experience with hosting and deployment (Docker, serverless, VPS, or PaaS).</li> </ul> <h4>Additional requirements</h4> <ul> <li>Strong attention to detail and commitment to bot reliability — no silent failures, no broken flows.</li> <li>Self-directed work ethic with the ability to design and ship complete bots independently.</li> <li>Portfolio or examples of bots you've built (required).</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> </ul> <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 $60 per hour equivalent, depending on their level and pace of contribution. 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> <h4>Why this freelance opportunity might be a great fit for you?</h4> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>