Senior Full Stack Engineer, AI-First Platform

Senior Full Stack Engineer, AI-First Platform, You will be a core engineer on a team automating a complex, high-stakes transactional platform end to end. The system you are building connects multiple third-party services through event-driven architecture, applies LLMs to document understanding and decisioning, and ships agentic workflows directly into production. This is not AI bolted onto an existing product. It is the product. What You Will Build

• Agentic workflows that connect LLMs, OCR, and rules engines to automate high-stakes decisioning at scale
• LLM-powered document understanding pipelines with confidence scoring, structured extraction, and human-in-the-loop review queues
• Event-driven back-end automation connecting multiple third-party APIs and vendor services
• Full stack features across broker-facing portals and internal platforms: APIs, integrations, and the front-end surfaces that expose them
• AI-driven condition analysis, automated decisioning layers, and explainability systems built to regulatory standards
• Eval harnesses, regression detection, and pass/fail gates that hold AI-generated output to the same bar as human-written code AI-First Development (Non-Negotiable) This team builds AI-first. Every engineer uses AI coding tools daily, including Claude Code, Cursor, GitHub Copilot, or equivalent, as a core workflow multiplier, not occasional autocomplete. You will decompose work into agentic tasks, critically review and harden AI-generated code, and ship AI directly into the product. Be prepared to walk through real examples in the interview, including a live AI-paired coding exercise.

• 5+ years of professional full stack development with strong back-end fundamentals in TypeScript/Node.js, Python, React, Java, or C#/.NET
• Production experience integrating LLM APIs such as Anthropic, OpenAI, or Azure OpenAI, including RAG, structured outputs, prompt pipelines, and agentic tool use shipped in real systems, not demos
• Extensive experience designing and consuming RESTful APIs and integrating third-party services at scale
• Cloud experience in AWS and/or Azure, including Lambda/Functions, queues, containers, and CI/CD

• Daily, demonstrable use of AI coding tools. This is non-negotiable. Nice to Have

• Eval-driven development: you have built labeled eval sets, measured accuracy and drift, and treat how do we know it is right as a first-class engineering question
• Experience in regulated environments where a wrong output is a compliance event, not just a bug
• Mortgage, fintech, or lending technology experience: LOS platforms, broker portals, AUS integrations, or disclosure and doc-prep systems
• Rules engine or decision-table experience such as Drools or similar
• Document AI or OCR pipeline work

Benefits: medical, dental, vision, retirement, PTO. Noor Group is an Equal Opportunity Employer. Physical Requirements: standing, bending, reaching, lifting up to 50 lbs occasionally, with or without accommodation.

• Compensation $175,000 per year

One of the fastest-growing lenders in the country, founded by an industry veteran and backed by a technology team that ships production code daily. This is not a company talking about AI. They are running it in production across a platform that moves real money and real decisions at scale. Engineers here work on problems that matter, with tooling most teams are still debating whether to adopt.