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[VCK] Full Stack Developer - Vue.js / Python

External
Softwaremind logoSoftwaremind · Buenos Aires, Argentina
Full-timeRemote1w ago
API GatewayAWSClusteringFastAPIIntegration TestingNode.js
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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
  • Must-Have Skills & Experience
  • 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

Requirements

  • 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
  • #LI-DNI

Additional Information

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.


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