Job Description: Full Stack Engineer
Position Overview
We are seeking a highly skilled and motivated Full Stack Engineer to join our team for the development of an innovative AI-driven platform. The successful candidate will be responsible for both front-end and back-end development, ensuring seamless integration and exceptional user experience in alignment with our MAF DEG standards.
Key Responsibilities
Develop and maintain the front-end of the application using Bootstrap CSS, JavaScript, jQuery, and HTML.
Implement back-end functionalities using .Net Core Web App, .Net Core API, and APIGEE for API management.
Ensure robust and scalable application architecture leveraging Razorpages for dynamic and responsive web pages.
Integrate MAF Active Directory with Single Sign-On (SSO) capabilities to streamline authentication processes.
Implement Role-Based Access Controls (RBAC) for precise management of user permissions.
Develop and manage Azure SQL Server Database for chat history, preferences, audit/logging.
Ensure mobile readiness and responsiveness of the application.
Maintain the application’s branding in accordance with MAF’s guidelines, ensuring consistent user experience across platforms.
Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions.
Ensure the orchestration and governance layer provides streamlined access to multiple LLMs and granular charge-back mechanisms.
Experience with AI Agents & Conversational AI
Experience working with LLM’s
Experience in Prompt Engineering
Technical Skills and Qualifications
Bachelor’s degree in computer science, Engineering, or related field.
5 years of proven experience as a Full Stack Engineer, with expertise in both front-end and back-end development.
Proficient in Bootstrap CSS, JavaScript, jQuery, and HTML.
Strong knowledge of .Net Core, Razorpages, and API management (APIGEE).
Experience with Azure SQL Server and managing databases.
Understanding of Active Directory and Single Sign-On (SSO) mechanisms.
Familiarity with Role-Based Access Controls (RBAC).
Experience in developing mobile-ready and responsive applications.
Knowledge of AI technologies and Large Language Models (LLMs) is a major plus.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Preferred Qualifications
Experience with AI platforms such as Microsoft Azure AI Studio
Experience working with Azure cloud & Services
Experience in working within an agile development environment.