[VCK] Senior Development Lead (AI +RAG Platform )

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. 

You are the technical delivery lead the bridge between architectural intent and day-to-day engineering execution. You own code quality technical decisions within the team and the delivery of the core AI Extraction Gateway (Simple and Complex RAG). You are hands-on: coding reviewing and unblocking across the Python backend and retrieval layers. 

Your Responsibilities 

• Lead hands-on development of the AI Extraction Gateway progressing from Simple RAG to Complex RAG 

• Implement and tune the expert-weighted (SME) retrieval layer and structured result validation 

• Own confidence score calibration; collaborate with the BA on accuracy rubrics and test evidence 

• Drive technical delivery cadence: sprint planning code reviews technical risk identification and team unblocking 

• Ensure architectural patterns are implemented consistently across the codebase 

• Collaborate with the Data Engineer on ingestion pipeline integration points and vector store schema 

• Implement and evolve the query orchestration layer (Python/FastAPI AWS Lambda/ECS) 

• Support the QA Automation Engineer in designing the validation harness for RAG outputs 

• Maintain development observability: structured logging CloudWatch dashboards X-Ray tracing 

Must-Have Skills & Experience 

• 6 years in software development; minimum 2 years in a tech lead or senior engineering lead capacity 

• Strong Python development skills; FastAPI or equivalent async Python framework required 

• Hands-on AWS experience: ECS and/or Lambda API Gateway DynamoDB S3 CloudWatch X-Ray 

• Experience with vector databases OpenSearch Pinecone Weaviate or equivalent 

• Solid understanding of API design service decomposition and clean backend architecture 

AI Experience (Required Not Optional) 

• Delivered at least one production RAG semantic search or LLM-integrated application end-to-end not a prototype or internal tool 

• Practical experience integrating with LLM provider APIs (OpenAI Anthropic or Amazon Bedrock) in a production or enterprise configuration 

• Working knowledge of chunking strategies embedding models retrieval ranking and prompt engineering in a production context 

• Experience with confidence scoring retrieval evaluation or hallucination mitigation approaches in a deployed system 

Qualifications :

Nice-to-Have 

• Experience with LangChain LlamaIndex or similar LLM orchestration frameworks 

• Familiarity with OCR pipelines and document extraction tooling (AWS Textract Tesseract or equivalent) 

• Exposure to multi-tenant data isolation patterns and tenant-scoped encryption key management 

We are accepting applications from LATAM countries
#LI-DNI

Additional Information :

Remote Work :

Yes

Employment Type :

Full-time