[VCK] Full Stack Developer (Vue.js + Python)

About the Project

Software Mind is building a private, tenant-isolated AI assistant for the real estate title and settlement industry. The platform is a retrieval-first (RAG) system that ingests historical email, documents, and structured metadata into a per-tenant vector index, and serves grounded, cited, expert-weighted answers through a chat-style Q&A interface with single sign-on and full audit logging.

The platform is AWS-native with a Python/FastAPI backend, Vue.js frontend, OpenSearch/Pinecone vector store, and OpenAI/Anthropic/Bedrock as LLM provider. You will join a senior, cross-functional LATAM-based team where hands-on AI delivery experience not just familiarity is the baseline expectation.

Your Responsibilities

  • Build and deliver the chat-style Q&A interface (Vue.js SPA, served via S3/CloudFront)

  • Implement RBAC enforcement in the frontend: role-based access, filtered views, and permission-scoped display logic

  • Develop the reporting and pilot analytics UI: query clustering views and audit log access for authorised roles

  • Integrate the frontend with the Python/FastAPI backend via AWS API Gateway

  • Implement the SSO login flow: Cognito-backed identity provider integration on the frontend

  • Collaborate with UX Designer on component implementation; ensure designs are faithfully and precisely translated

  • Contribute to end-to-end integration testing with the QA Automation Engineer

  • Tech Stack: Vue.js, Python, FastAPI, AWS (S3, CloudFront), API Gateway, Cognito

Must-Have Skills & Experience

  • +90% English written and oral (at least B2 level) with excellent communication skills

  • 5+ years in full stack development with Vue.js frontend and Python or Node.js backend

  • Strong Vue.js experience, including component-based architecture, state management with Vuex or Pinia, Composition API usage, and integration with REST APIs.

  • Experience with AWS frontend hosting: S3, CloudFront, API Gateway integration

  • Understanding of SSO/OAuth 2.0 flows from a frontend implementation perspective

  • Familiarity with RBAC patterns and permission-scoped UI rendering

Nice-to-Have

  • Experience building chat UI or conversational interfaces streaming responses, message threading, citation rendering

  • Exposure to AI-integrated frontend applications: confidence display, source attribution, or feedback mechanisms

  • Familiarity with analytics or reporting UI patterns and data visualisation libraries

We are accepting applications from LATAM countries