[VCK] Full Stack Developer 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 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 ( 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 

Qualifications :

Must-Have Skills & Experience 

• 5 years in full stack development with frontend and Python or backend 

• Strong 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 

Additional Information :

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
#LI-DNI

Remote Work :

Yes

Employment Type :

Full-time