[VCK] Backend Developer (Python + AWS)

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.

  • Tech Stack: Python, FastAPI, AWS Lambda, ECS, API Gateway, Cognito, DynamoDB, S3

Must-Have Skills & Experience

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

  • 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.

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