> For the complete documentation index, see [llms.txt](https://pmse.gitbook.io/pmse-dhdk/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://pmse.gitbook.io/pmse-dhdk/3.-development-plan/3.3-team-roles.md). # 3.3 Team Roles The success of the GNA chatbot project depends on a cohesive and skilled team, with clearly defined roles and responsibilities to ensure smooth development and delivery. Below is a description of the key team roles involved. ### **Project Manager** The Project Manager oversees the overall execution of the project, ensuring that timelines, milestones, and resource allocation align with the objectives. They are responsible for coordinating between team members, managing risks, and ensuring adherence to the project scope and budget. ### **AI Engineer** The AI Engineer focuses on integrating and fine-tuning the selected large language model (e.g., Mistral NeMo) to deliver conversational capabilities. Specializing in natural language processing (NLP), this role encompasses the design and implementation of the Retrieval-Augmented Generation (RAG) system that powers the chatbot. They also optimize the model for performance, accuracy, and responsiveness in real-world scenarios. ### **Backend Developer** The Backend Developer is responsible for managing the backend infrastructure that supports the chatbot. This includes building and maintaining APIs, ensuring seamless communication between components, and handling cloud hosting to guarantee scalability, security, and reliability of the application. ### **UX/UI Designer** The UX/UI Designer creates intuitive and user-friendly interfaces for the chatbot. Their focus is on designing a seamless user experience, including the layout of the Streamlit interface, accessibility features, and ensuring the application meets the needs of users. ### **Quality Assurance (QA) Specialist** The QA Specialist is tasked with testing the chatbot's components, identifying defects, and ensuring compliance with quality standards. They perform various testing methodologies, including unit, integration, and user acceptance testing (UAT), to validate the system's reliability and functionality before deployment. ### **Stakeholders** Stakeholders, including end-users and organizational representatives, play a critical role in providing feedback and validating the system during UAT and review phases. Their insights ensure that the chatbot aligns with user expectations and project goals, making it both functional and valuable. *** This team structure ensures a balanced distribution of responsibilities and expertise, driving the project towards a successful and timely completion. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://pmse.gitbook.io/pmse-dhdk/3.-development-plan/3.3-team-roles.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.