[VCK] Backend Developer (Python + AWS)
Software Mind
Posted about 7 hours ago
Job Description
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 maintain the BFF/Backend API layer (Python/FastAPI, ECS/Lambda).
Implement SSO / identity provider integration and the tenant-based authentication schema (AWS Cognito).
Build the audit logging layer, from minimal dev logging through to full document lifecycle tracking.
Develop core API services supporting the chat Q&A interface and retrieval orchestration.
Integrate with AWS services: API Gateway, Cognito, DynamoDB, S3, CloudWatch.
Write unit and integration tests; support the QA Automation Engineer with testable, documented service contracts.
Participate in code reviews and contribute to maintaining backend code quality standards alongside the Tech Lead.
Qualifications
Must-Have Skills & Experience
3+ years in backend software development.
Proficient in Python; FastAPI or Flask experience preferred.
Experience with AWS serverless and container services: Lambda, ECS, API Gateway.
Experience with DynamoDB / S3.
Familiarity with SSO/OAuth 2.0/OIDC patterns; AWS Cognito or equivalent identity provider integration experience.
Understanding of API design principles, audit logging patterns, and secure data handling.
Comfortable working in agile/scrum teams with Jira.
Additional Information
Nice-to-Have
Exposure to RAG or LLM-integrated backend systems working alongside AI pipeline components.
Experience with multi-tenant application architecture and tenant-scoped access control patterns.
Familiarity with structured audit logging for compliance or regulated-data use cases.
We are accepting applications from LATAM countries
#LI-DNI
