Software Engineer

RESPONSIBILITIES: Build and own the platform — design and maintain the application infrastructure, API layer, and shared services that power the Analytics Engine end-to-end. Microsoft Azure experience is preferred. Set the technical foundation — make early architectural decisions that will shape how the platform scales; know when to move fast and when to get it right. Develop full-stack applications that surface ML insights and advanced analytics through intuitive, responsive interfaces built in React and Type Script. C# and SQL experience is valuable. Improve developer velocity — own the build, deploy, and testing pipeline and continuously reduce friction for the team. Integrate AI-native workflows — build tools, prompts, and evals that put real analytical leverage in the hands of investment teams. Work directly with stakeholders — engage with investment, asset management, and capital markets teams to understand problems, gather feedback, and iterate without waiting for someone else to translate.

QUALIFICATIONS: 5+ years of full-stack development experience, including time in an early-stage or 0→1 environment (ideally fintech, etc)Proven ability to ship end-to-end independently — from scoping a problem to deploying production code — without needing a designer, PM, or architect to unblock you Experience shipping LLM-native features or applications in production Expert-level React skills: modern patterns (hooks, context, suspense), performance optimization, and component architecture Strong backend proficiency in Python or Node.js; fluent in designing and maintaining scalable APIsMust have worked on a data science or predictive analytics tool/productPREFERRED:Experience building ML-powered application workflows and integrating data science outputs Familiarity with MCP or production LLM integrations Background at an AI-native company or in a product-focused founding environment Experience in real estate, finance, or other data-intensive industries