Fractional Backend Engineer

Company Description

Houzed AI is revolutionizing the real estate experience with its intelligent, AI-powered tools. Simplify property discovery, access in-depth insights into listings and neighborhoods, and streamline the process of planning and scheduling showings. Houzed AI enables seamless collaboration with partners and agents through a shared watchlist, making it easier than ever to find your perfect home. All of this is delivered through a unified conversational interface designed for smarter and more efficient real estate interactions.

Role Description

We're looking for a skilled Fractional Backend Engineer to help build and scale modern SaaS systems.

This is a part-time remote engagement for someone who moves fast, writes clean production-grade code, and knows how to leverage AI-assisted development tools to multiply their output.

Engagement Details

Minimum 16 hours per week

Remote only work from anywhere

Must be available for standups at 8:00 AM, three times per week

What You'll Work On

Design solid backend systems and scalable SaaS architecture

Build robust APIs and backend services using our TypeScript stack (Bun, Hono, and modern

runtimes/frameworks)

Deploy and manage systems on AWS or Google Cloud

Implement observability practices including structured logging, distributed tracing, and metrics

collection to support proactive monitoring and alerting

Ensure performance, reliability, and scalability of distributed systems

What We're Looking For

Strong backend engineering fundamentals with solid API and system design instincts

Primary experience in TypeScript familiarity with modern backend tooling such as Bun and

Hono

Hands-on experience with AWS or Google Cloud

Ability to design and ship production-grade systems with minimal oversight

Experience with relational databases (PostgreSQL) and document databases (MongoDB) is

strongly preferred

Proficient with AI-assisted development tools such as Cursor or Claude Code

Bonus

Experience with SaaS platforms or early-stage startups

Familiarity with microservices or distributed systems architecture

Experience building or working with LLM-powered systems or agentic workflows tool-using AI

systems, automation agents, or AI copilots

Familiarity with Go or Java as secondary backend languages

Sound like you?

We'd love to hear from you. Apply with a brief note about your background and the types of systems you've built.