[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 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

Remote Work :

Yes

Employment Type :

Full-time