Full Stack Dev For Interview Tool

We are looking for a full-stack developer or small technical team to build a web-based AI interview and conversational analysis platform. The application will support two related workflows: 1. Interview / Data Collection Mode Users can join a session through a unique link, provide consent, choose between voice or text, and complete an AI-moderated interview. The AI should follow a configurable discussion guide, ask relevant follow-up questions, and capture the conversation in a structured format. 2. Research / Analysis Mode Authorized users can access a secure chat interface to query an external AI/model endpoint and review conversational responses. Sessions should be logged for later reference, with basic usage tracking. The platform is intended to act as the conversation and workflow layer. It does not need to build, train, or host the underlying AI/model system. That will be handled separately and accessed through an API. Core requirements * Browser-based web application * Unique session links for interview participants * Consent and privacy notice flow * Voice and text session options * Speech-to-text and text-to-speech integration * Live or near-live transcription * Configurable interview guides or talk tracks * AI follow-up logic for probing, clarification, and short-answer handling * Guardrails to keep the AI on topic and prevent inappropriate or fabricated responses * Researcher/admin authentication * Secure chat interface connected to an external AI/model API * Structured transcript output * Session logging and basic usage tracking * Ability to recover or resume after dropped connections * Multilingual-ready architecture Transcript output should include * session ID * language * modality * timestamps * ordered conversation turns * speaker labels * transcript text * session metadata * optional audio references for voice sessions Privacy and data handling The application should be designed with privacy-conscious data handling in mind, including clear consent, limited collection of identifying information, and structured data export suitable for downstream analysis. Out of scope (for now) * Training or fine-tuning the underlying AI model * Hosting the AI/model layer * Building the full data modelling pipeline * Participant recruiting * Full research reporting or dashboard analytics * Multi-party or focus-group functionality Ideal experience * Full-stack web development * AI chatbot or conversational interface development * Voice agent development * STT/TTS integration * API integration with external AI systems * Authentication and session management * Secure data handling * Experience with research, survey, interview, or qualitative data platforms is a plus Deliverable A working pilot-ready web application that can run AI-guided interview sessions, capture structured transcripts, and provide a secure chat interface for querying an external AI/model endpoint.