Senior Fullstack Software Engineer

PropertyPilot•Wall Township, NJ

64d

About The Position

PropertyPilot is an early-stage, AI-powered real estate platform that aggregates 170+ million tax and parcel records nationwide—ownership data, property assessments, comparable sales, mortgage information, and foreclosure filings—into a single, mobile-first experience. Real estate is the largest asset class in the U.S. at over $85 trillion yet remains one of the least efficient. We’re changing that. Backed by an experienced SaaS founder and a seasoned product, engineering, and design team, we’re building the tools that bring transparency and speed to real estate professionals, banks, insurers, and builders. We are operating before product-market fit—growth at PropertyPilot is about getting the right users in the door, learning from real usage, and iterating quickly. We’re looking for a Senior Fullstack Software Engineer who builds with ownership, ships with discipline, and operates with integrity. You’ll be a core contributor on a small, high-output team building an AI-powered platform that processes massive national datasets and delivers real-time insights to real estate professionals. You will own features end-to-end—from UI to API to production—and be accountable for what you ship. You’ll make consequential technical decisions daily, including how and when to leverage agentic AI to solve real problems. At an early-stage company, there is no hiding behind process or titles. The work is visible, the stakes are real, and the pace is relentless.

Requirements

5+ years of professional software engineering experience building production software across frontend and backend.
Strong proficiency in Next.js, React, and TypeScript, with at least one backend stack (.NET, Python, or similar).
Hands-on experience with agentic AI—you’ve built systems where LLMs act autonomously: tool use, multi-agent orchestration, retrieval-augmented generation, or similar patterns—not just API wrappers around chat completions.
Solid understanding of prompt engineering, context management, guardrails, and failure modes in AI-driven systems.
Experience with PostgreSQL or comparable relational databases at scale.
Solid understanding of CI/CD pipelines, automated testing, and cloud-native infrastructure on AWS.
Experience working in early-stage or high-growth environments where scope is fluid and resources are lean.

Nice To Haves

Experience with geospatial data, map SDKs (Mapbox, Google Maps), or data-heavy web applications.
Familiarity with real estate data—tax records, parcel data, mortgage filings, or comparable sales.
Experience with vector databases, embedding pipelines, or semantic search.
Contributions to open-source projects or technical writing.

Responsibilities

Design, build, and ship fullstack features from concept through production.
Build and maintain agentic AI systems—autonomous workflows, tool-calling agents, multi-step reasoning pipelines, and human-in-the-loop patterns.
Own the reliability, performance, and security of what you deploy.
Review code with rigor—challenge weak design, unclear logic, and unnecessary complexity.
Make sound tradeoff decisions across cost, scope, quality, and timeline.
Communicate clearly—surface risks early, document decisions, share context broadly.
Participate in on-call rotations and respond to incidents by fixing root causes, not just symptoms.
Mentor other engineers as the team grows, contributing to a culture of directness, accountability, and shared ownership.