SwiftAI Recruit

Compensation

Full Description

We’re hiring: Sr. Full Stack Engineer (AI LOS / FinTech) | $150K – $350K | 100% US Remote 🚀💳 Modernize the multi-trillion-dollar mortgage ecosystem with enterprise AI. We are partnering with a high-growth AI-powered Loan Origination System (LOS) platform backed by $44M in Series B funding—to hire senior, mission-driven engineering talent across the United States. If you have deep experience building resilient, event-driven web applications and scalable enterprise microservices using TypeScript, Node.js, React, and cloud-native distributed infrastructure, this full-time role is open for immediate placement. The Breakdown • Role: Sr. Full Stack Engineer • Compensation: $150,000 – $350,000 Base Salary + Equity & Full Benefits • Type: Full-Time | 100% Remote (US Hubs: NY, SF, LA, Boston, Seattle, TX, Chicago, DC, Denver, FL) • Core Tech Stack: TypeScript, React, Node.js, Express, GraphQL, PostgreSQL, Kafka, AWS, Docker, Elasticsearch, Terraform What You'll Do • Architect, develop, and ship end-to-end full-stack features powering the flagship AI-driven Loan Origination System. • Build low-latency, scalable backend services, GraphQL APIs, and event streams (Kafka) processing complex financial data flows. • Craft responsive, high-performance UI workflows in React and TypeScript for mortgage originators and underwriters. • Collaborate cross-functionally with product, machine learning, and infrastructure teams to deploy secure, enterprise-grade cloud solutions on AWS. • Maintain high standards of automated testing, code modularity, security, and system observability. What You Need • 7–25 years of hands-on software engineering experience shipping enterprise-grade full-stack web applications. • Mastery of TypeScript / JavaScript, Node.js / Express, and React. • Solid production experience with relational databases (PostgreSQL) and modern API design (GraphQL / REST). • Strong background in distributed systems and asynchronous messaging (Kafka). • Hands-on familiarity with cloud and containerized infrastructure (AWS, Docker, Terraform, Elasticsearch). • Prior experience in FinTech, lending, banking, or complex B2B enterprise SaaS is a strong advantage.