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.