About The Position

Chubb's AI Platform team is building an enterprise AI platform that powers RAG-based search, document intelligence, and AI-assisted workflows for thousands of users across the global organization.The platform spans four production codebases: an Angular 17 frontend, a React frontend in active development, a NestJS middleware layer, and two Python FastAPI backends handling RAG orchestration and document processing. The Senior Full-Stack Engineer, AI Platform is a peer-level technical contributor who owns the complete product surface: from React and Angular UI components through NestJS service modules to Python FastAPI route handlers. This individual operates as a primary engineer across all four repositories, participates in architectural decision-making, and upholds the quality standards of the Crucible SDLC framework. The role is hands-on and delivery-focused — the expectation is production-grade code shipped on schedule, sprint over sprint.

Responsibilities

  • Architect and deliver React applications as the primary frontend framework for new products, from initial project setup through production deployment
  • Maintain and extend the existing Angular 17 application — standalone components, reactive forms, RxJS streams, and Angular Material component library
  • Build performant, accessible user interfaces that surface AI outputs: streaming chat and RAG response displays, document upload and processing status, and structured data visualization
  • Integrate frontend applications with NestJS and FastAPI backends via REST APIs, Server-Sent Events (SSE) for streaming AI responses, and multipart file upload pipelines
  • Author unit, component, and integration tests across React (Jest) and Angular (Karma/Jasmine) contexts, maintaining meaningful coverage without being directed to do so
  • Instrument frontend applications with Azure Application Insights; own frontend observability, error tracking, and performance monitoring
  • Design and implement feature modules in the NestJS middleware layer: DTOs, controllers, services, and providers following established module patterns
  • Integrate Azure Cosmos DB, enforce JWT authentication guards, and instrument all new code with OpenTelemetry distributed tracing
  • Author and maintain Swagger/OpenAPI documentation for all new and modified endpoints
  • Apply parameterized Cosmos DB queries and structured Ogma logging consistently across all contributions
  • Contribute production-ready route handlers, Pydantic models, and async service logic to the RAG orchestration service and the doc-parser-api document processing pipeline
  • Implement and extend Azure AI Search integrations, embedding pipelines, and document ingestion workflows
  • Execute quality gates on all Python contributions: ruff linting, mypy static type checking, pytest with a minimum 80% coverage threshold, and bandit security scanning
  • Participate in code reviews across all four repositories; provide substantive technical feedback and uphold Conventional Commits and Semantic Versioning standards
  • Leverage agentic coding tools — Claude Code, GitHub Copilot, and their successors — as daily productivity multipliers within a disciplined engineering workflow
  • Collaborate with AI/ML engineers, UX designers, and product managers to translate complex AI capabilities into intuitive, production-ready user experiences
  • Contribute to architectural decisions spanning state management patterns, API contract design, CI/CD pipeline configuration, and cross-repo dependency management
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