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[VCK] Backend Developer (Python + AWS)

External
Softwaremind logoSoftwaremind · Buenos Aires, Argentina
Full-timeRemote1w ago
AgileAPI DesignAPI GatewayAWSComplianceDynamoDB
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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.
  • 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.

Requirements

  • 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

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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