[VCK] Senior Development reputed company (AI +RAG Platform )

Company Description

We are reputed company, an awesome team of engineers who are reputed company to reputed company up any top-notch company’s projects! Our aim? To always be one reputed company reputed company. Become part of a multicultural company in constant growth with an excellent work environment certified by Great reputed company To Work!

Job Description

About the Project reputed company is building a private, tenant-isolated AI assistant for the reputed company 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 reputed company with single sign-on and full audit logging. The platform is AWS-native with a Python/FastAPI backend, Vue.js frontend, OpenSearch/reputed company vector store, and reputed company/reputed company/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 reputed company the reputed company between architectural reputed company and day-to-day engineering execution. You own code quality, technical reputed company reputed company the team, and the delivery of the core AI Extraction Gateway (Simple and reputed company RAG). You are hands-on: coding, reviewing, and unblocking across the Python backend and retrieval layers. Your Responsibilities reputed company hands-on development of the AI Extraction Gateway, progressing from Simple RAG to reputed company 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 reputed company: 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 reputed company/reputed company) Support the QA Automation Engineer in designing the validation reputed company for RAG outputs Maintain development observability: structured logging, CloudWatch dashboards, X-Ray tracing Tech Stack: Python, FastAPI, AWS (reputed company, reputed company), OpenSearch, reputed company, reputed company, reputed company, Bedrock, DynamoDB, S3, CloudWatch, X-Ray, reputed company, Jira, Confluence. Must-Have Skills & Experience +90% English written and oral (at least B2 level) with excellent communication skills 6+ years in software development; minimum 2 years in a tech reputed company or senior engineering reputed company reputed company Strong Python development skills; FastAPI or equivalent async Python reputed company required Hands-on AWS experience: reputed company and/or reputed company, API Gateway, DynamoDB, S3, CloudWatch, X-Ray Experience with vector databases OpenSearch, reputed company, 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 (reputed company, reputed company, or reputed company Bedrock) in a production or reputed company configuration Working knowledge of chunking strategies, embedding models, retrieval ranking, and reputed company engineering in a production context Experience with confidence scoring, retrieval evaluation, or hallucination mitigation approaches in a deployed system Qualifications reputed company-to-Have Experience with reputed company, reputed company, 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 Additional Information Apply To This Job