[VCK] Backend Developer (Python + AWS)

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. 

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

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
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