Design and ship full-stack features across a data-intensive platform used by real estate investment teams
Build and maintain features that put LLMs to work in production, including RAG pipelines, LLM integrations, guardrails, and evaluation frameworks
Own the production deployment of machine learning models, from handoff with data scientists through to the live environment
Lead architectural decisions for backend systems built to handle continued growth in data volume and client load
Set engineering standards across code reviews, testing, monitoring, and observability
Work closely with designers and data scientists to translate complex requirements into clean, performant interfaces

Requirements

Minimum 5 years of fullstack engineering experience with a track record of shipping production systems
Deep experience in Python and JavaScript/TypeScript with strong command of CSS
Production experience with LLM integration, including prompt engineering, RAG pipelines, function calling, evals, or guardrails
Experience with one or more: FastAPI, Laravel, Vue.js, Tailwind CSS, ECharts
Proven ability to work with large, complex datasets and build systems that surface them clearly
Experience with web metrics, monitoring, and observability tooling
Strong fundamentals in data structures and algorithms, applied to real engineering constraints
Works well in a small, fast-moving team and owns outcomes, not just tickets.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

fullstack engineeringPythonJavaScriptTypeScriptCSSLLM integrationRAG pipelinesFastAPILaravelVue.js

Soft Skills

leadershipcollaborationproblem-solvingcommunicationownership