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MS - Full Stack Engineer - 145 at Thaloz. Location Information: Brazil - Remote. . We are seeking a highly skilled and experienced Sr. Fullstack Engineer to join our dynamic team. This role is pivotal in designing and implementing multi-agent AI systems, developing robust backend services, and creating responsive front-end applications. The ideal candidate will leverage their expertise in C# /.NET and Python, along with modern JavaScript frameworks, to deliver scalable and maintainable solutions. The Sr. Fullstack Engineer will also play a crucial role in utilizing Azure Cloud services for deployment and orchestration, while applying DevOps practices for CI/CD automation. This position offers an exciting opportunity to collaborate with cross-functional teams and mentor junior developers, contributing to the overall success of our innovative projects.. Responsibilities. . . Design and Implementation. : Lead the design and implementation of multi-agent AI systems, ensuring they are scalable, efficient, and maintainable.. . . Backend Development. : Develop backend services using C# /.NET and Python, focusing on microservices architecture to enhance modularity and scalability.. . . Frontend Development. : Create responsive front-end applications using modern JavaScript frameworks, ensuring a seamless user experience.. . . Cloud Services. : Utilize Azure Cloud services for deployment and orchestration, ensuring high availability and performance of applications.. . . DevOps Practices. : Apply DevOps practices for CI/CD automation, streamlining the development process and enhancing collaboration between development and operations teams.. . . Collaboration. : Work closely with cross-functional teams, including product management, design, and QA, to deliver high-quality solutions that meet business requirements.. . . Mentorship. : Mentor junior developers, providing guidance and support to foster their professional growth and enhance team capabilities.. . . Workflow Orchestration. : Implement complex workflow orchestration and B2B integrations, ensuring smooth data flow and process automation.. . . AI Integration. : Integrate AI capabilities, including GPT integration and custom model deployment, to enhance application functionality.. . . Data Preparation. : Utilize Azure Data Factory for . ETL. /ELT . pipelines. , preparing data for AI applications and ensuring data integrity and quality.. . Requirements. . . C# /.NET. : Proficient in developing applications using C# and the .NET framework, with a strong understanding of ASP.NET Core, Entity Framework, SignalR, and Minimal APIs.. . . Python. : Experience in backend development using Python, with knowledge of frameworks such as Django and Flask, and libraries like Pandas, NumPy, and Scikit-learn for data manipulation and analysis.. . . JavaScript. : Strong skills in modern JavaScript frameworks (e.g., React) for building responsive and interactive front-end applications.. . . Microservices Architecture. : In-depth understanding of microservices architecture, enabling the development of modular and scalable applications.. . . Azure Cloud Services. : Experience with Azure Cloud services for application deployment, orchestration, and management.. . . DevOps Practices. : Familiarity with CI/CD pipelines and Infrastructure as Code (ARM/Bicep) to automate deployment processes and manage infrastructure efficiently.. . . Event-Driven Architectures. : Knowledge of event-driven architectures using message queues (e.g., Azure Service Bus, RabbitMQ) to facilitate communication between services.. . . Complex Workflow Orchestration. : Experience in implementing complex workflow orchestration and B2B integrations to streamline business processes.. . . Serverless Computing. : Understanding of serverless computing and event-driven processing to optimize resource utilization and reduce operational overhead.. . . GPT Integration. : Experience in integrating GPT models and deploying custom AI models to enhance application capabilities.. . . ETL/ELT Pipelines. : Proficiency in designing and implementing ETL/ELT pipelines for AI data preparation using Azure Data Factory.. . Nice-to-Have Skills. . . Machine Learning Frameworks. : Familiarity with machine learning frameworks (e.g., TensorFlow) to support AI model development and deployment.. . . Containerization with Docker. : Experience with containerization technologies like Docker to streamline application deployment and management.. . . Infrastructure as Code. : Knowledge of Infrastructure as Code practices to automate infrastructure provisioning and management.. . . Mentoring and Leadership. : Strong mentoring and leadership skills to guide junior developers and foster a collaborative team environment.. . . AI Integration. : Experience in integrating AI technologies into applications to enhance functionality and user experience.. . .