Senior supervisor Application Developer ( AI & .NET )7 year

We are looking for a skilled Frontend & Cross-Platform Engineer with 3 to 5 years of professional experience to join our engineering team and build high-quality web and mobile applications. The ideal candidate has experience with React Native for mobile development, React and Next.js for web development, and a solid understanding of frontend engineering principles, application architecture, security best practices, and CI/CD practices. The role involves developing cross-platform solutions, participating in Agile/Scrum ceremonies, and collaborating with backend developers, UI/UX designers, and SRE/DevOps teams to deliver scalable, maintainable, and reliable applications across web, iOS, and Android. Responsibilities 1. Web & Mobile Development: Develop and maintain responsive web applications using React and Next.js, and cross-platform mobile applications using React Native. 2. API Integration & Data Management: Integrate RESTful APIs and GraphQL services, and implement state management and data-fetching solutions. 3. Code Quality & Security: Follow best practices for clean code, reusable components, application security, performance optimization, and maintainable architecture. 4. CI/CD & Release Management: Create and maintain CI/CD pipelines using native solutions or Expo EAS, automate builds and testing, and manage mobile application releases. 5. Agile & Scrum: Participate in daily stand-ups, sprint planning, sprint reviews, retrospectives, task estimation, and progress tracking. 6. Cross-Functional Collaboration: Work closely with UI/UX designers, backend developers, QA engineers, and SRE/DevOps teams to deliver features and improve development and deployment workflows. Requirements (3–5 Years of Experience) • JavaScript & TypeScript • React, Next.js & React Native • Web Fundamentals • State Management & Data Fetching • API Integration • Security Best Practices • Git & Team Collaboration Show more

About The Role We are looking for a Senior AI Engineer to own the AI layer of our data platform—building production-grade LLM applications, retrieval systems, intelligent agents, and natural-language interfaces over enterprise data. You will work across RAG, embeddings, vector and hybrid search, agent/tool-calling architectures, LLM evaluation, and self-hosted open-weight models. This is a hands-on engineering role for someone who has moved beyond prototypes and has built, deployed, and operated LLM systems in production. What You'll Own Design and build production-grade LLM applications and RAG systems Own retrieval architecture including chunking, embeddings, vector search, hybrid search, and reranking Build agentic and tool-calling systems with appropriate permissions, scoping, validation, and guardrails Develop natural-language interfaces over enterprise data and structured databases Build and maintain LLM evaluation frameworks, including test sets, regression suites, grounding, hallucination, and answer-quality evaluation Work within our data platform and engineering stack rather than relying solely on hosted AI APIs Deploy and optimize self-hosted open-weight models using technologies such as vLLM or equivalent serving infrastructure Optimize inference performance, GPU utilization, latency, throughput, and cost Explore and implement fine-tuning or model adaptation when appropriate Collaborate with data and software engineers to turn AI capabilities into reliable production products Required Qualifications 5+ years of software or data engineering experience At least 2 years of hands-on experience building and deploying production LLM-based systems Strong Python engineering skills Deep understanding of RAG and retrieval architecture: Chunking strategies Embeddings Vector databases/search Hybrid search Reranking Retrieval evaluation Experience building LLM agents or tool-calling systems Understanding of permissions, access control, scoping, validation, and guardrails for AI systems Strong understanding of LLM evaluation, including test datasets, regression testing, grounding, and hallucination detection Experience working directly with data platforms, databases, or enterprise data, rather than only consuming hosted LLM APIs Strong software engineering fundamentals and experience taking systems from prototype to production Strongly Preferred Experience with self-hosted open-weight models Production experience with vLLM or equivalent model-serving infrastructure Understanding of GPU resource management and inference optimization Experience with fine-tuning, LoRA, or other model-adaptation techniques Experience with Text-to-SQL systems Experience designing or using a semantic layer over real enterprise data models Experience combining unstructured documents with structured enterprise data in a single AI application What Success Looks Like You will be successful in this role if you can build an AI layer that is: Accurate — answers are grounded in enterprise data Reliable — quality is measured through automated evaluation and regression testing Secure — agents and tools respect user permissions and data boundaries Scalable — models and retrieval infrastructure perform reliably in production Maintainable — AI capabilities are built as production software, not isolated experiments Useful — users can interact naturally with complex enterprise data Show more

Company Description LVJ Soft helps organizations optimize software development and operations, adopt transformative technologies, and drive sustainable growth. The company focuses on delivering actionable insights and practical implementations that improve engineering efficiency and product quality. We are looking for an experienced Senior Full-Stack Engineer to join a growing FinTech platform. The ideal candidate will have strong hands-on experience across mobile development, backend services, databases, and AWS infrastructure, with a focus on application security, performance, and scalability. Responsibilities Develop and maintain cross-platform mobile applications using React Native for iOS and Android. Build, maintain, and troubleshoot backend services using Python and Node.js. Design and maintain REST APIs and third-party integrations. Manage and optimize MySQL databases, including queries, indexing, and performance tuning. Support AWS production infrastructure, including EC2, RDS, IAM, and VPC. Maintain CI/CD pipelines and support production deployments. Diagnose and resolve application, database, and infrastructure performance issues. Apply secure coding practices and troubleshoot production incidents. Review code, document critical workflows, and contribute to architectural improvements. Requirements 7+ years of professional software engineering experience, or equivalent demonstrated senior-level experience. Conversational Level Of English is a must. Strong hands-on experience with React Native for both Android and iOS. Strong backend development experience with both Python and Node.js. Solid experience designing and maintaining REST APIs. Strong experience with MySQL or similar relational databases. Hands-on AWS production experience, particularly with EC2, RDS, IAM, and VPC. Experience building or maintaining CI/CD pipelines. Strong understanding of application performance, scalability, and secure coding practices. Proven ability to troubleshoot complex production systems and work independently with existing codebases. Preferred Qualifications Experience in FinTech, banking, payments , or financial-data integrations. Experience with AWS S3, SQS, Lambda, and API Gateway. Experience with load testing, capacity planning, microservices, and application security testing. C# and modern .NET / .NET Core backend development experience. Experience developing or supporting ASP.NET Core REST APIs, services, or microservices. Show more

Company Description VPSie “Virtualized Provisioning & Smart Infrastructure Engine” is a cloud enabler providing an all-in-one distributed cloud ecosystem across public, private (on-premise), and hybrid environments. The company offers a hyper-converged infrastructure platform that helps enterprises manage and operate distributed infrastructure, while enabling MSSPs and telecom providers to launch white-label cloud services with data sovereignty. VPSie’s AIO Cloud Orchestration Platform delivers an automated turnkey solution that includes storage, networking, virtualization, billing, and advanced features such as SDN, software-defined storage, containers, disaster recovery, and Kubernetes management. With infrastructure designed around Zero Trust principles, VPSie focuses on operational efficiency, rapid time to market, and air-gapped deployment support. VPSie Public Cloud spans multiple global locations, including the USA, Canada, Europe, MENA, and Africa, providing broad geographic coverage for diverse customer needs. Role Description The Technical Project Manager is a full-time hybrid role based in Qesm El Nozha, with flexibility to work from home for part of the time. This role involves leading end-to-end planning, execution, and delivery of cloud infrastructure and platform projects, coordinating technical teams, stakeholders, and partners to ensure milestones are met on time and within scope. The Technical Project Manager translates business requirements into clear technical tasks, manages project roadmaps, tracks risks and dependencies, and oversees documentation, status reporting, and stakeholder communication. Daily activities include organizing and facilitating project meetings, monitoring progress against KPIs, optimizing processes for deployment and operations, and supporting continuous improvement across engineering and operations teams. The role also requires close collaboration with product, support, and business teams to ensure that VPSie’s cloud solutions are implemented effectively and align with customer expectations. Qualifications Candidates should possess strong Project Management and Program Management skills, with experience managing complex technical initiatives in cloud or infrastructure environments. Candidates should possess effective Communication skills, including the ability to convey technical concepts to non-technical stakeholders and facilitate clear, concise project updates. Candidates should possess proven Team Leadership skills, with the ability to guide cross-functional teams, foster collaboration, and support a culture of accountability. Candidates should possess robust Analytical Skills to assess requirements, interpret data, identify risks, and drive data-informed decisions. Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field; equivalent practical experience is also valued. Experience with cloud platforms, virtualization, networking, containers (Docker/Kubernetes), or hyper-converged infrastructure is highly beneficial. Relevant certifications such as PMP, PRINCE2, Agile/Scrum, or cloud provider certifications (e.g., AWS, Azure, G Show more