About Homeward Homeward takes the “what ifs” out of homebuying by creating financial products that give buyers and sellers certainty and convenience. We’re a fast-paced, remote-first real estate startup that partners with real estate agents to offer innovative products and services, helping clients buy with cash, sell with certainty, and time their move, regardless of the market. Founder and CEO Tim Heyl, owner of one of the fastest-growing agent teams in the country, started Homeward in 2018 to fix the antiquated and broken real estate process.

Today, we offer bundled cash offers, mortgage, and title services in 13 states, enabling buyers and sellers to move with certainty and convenience. We’re a fully remote company with a diverse team spread across several countries - Grounded in three core values: The Golden Rule, One Team One Dream, and Calm Focus. Hear from our employees about what our values mean to them .

About The Opportunity Homeward is looking for an Applied AI Engineer to help us build AI into our products and the way our team works. This role has two sides: building the tooling and practices that make it easier for every team here to build with AI, and taking on hard, AI-solved problems. Our Product & Technology team works closely with internal partners as well as our external customers, agents, and their teams and brokerages, so the AI products you build will reach both.

The ideal candidate is a self-starter who takes pride in ownership of their work, can diagnose issues and develop solutions quickly, and communicates clearly with multiple stakeholders. This role reports to the SVP, Technology. Please note, this role is not eligible for visa sponsorship.

Due to current team needs we are only accepting candidates based in Austin, TX.

Responsibilities

: Have an immediate impact on how Homeward builds with AI Design, build, and maintain AI-powered features in our products, including LLM API integrations, retrieval-augmented generation (RAG) pipelines, and AI-driven automation across our customer, agent, and operations tools Understand and communicate

Requirements

and Build and improve shared tooling and reusable components that make it easier for teams across tech to access, integrate, and operate LLMs in production Contribute to the tooling we use to keep AI features reliable - observability, monitoring, evaluation, and prompt and context management - so we can measure and debug them with confidence Take on hard, ambiguous problems that can be solved leveraging LLMs and ML to solve real business problems, then help others learn how to solve similar problems Prototype solutions quickly, then work with peers and senior engineers to harden them into something we can ship and maintain Help shape the patterns and practices for building with AI at Homeward, and make the right way the easy way for the rest of the team Evaluate new models, tools, and approaches, recommend what's worth adopting, and help others adopt it Use AI coding assistants (Claude, Copilot) as a natural part of your daily workflow, and help the team get more out of them Write automated unit and integration tests to support our CI pipelines, and participate in code reviews Work closely with Product, Engineering, and Data to make sure what we build is useful, well-documented, and easy to adopt About You: 4-6 years of professional back-end development experience, ideally in a fast-moving environment Hands-on experience building or operating AI/ML systems in production, and a real interest in the practical side of it - reliability, performance, cost, and safety Production experience with LLM APIs, including prompt design and context management Strong experience with Python and a back-end framework such as Django, Flask, or FastAPI Solid grounding in web development best practices - REST APIs, asynchronous task management, and sound data management Good judgment on the trade-offs between reliability, latency, cost, quality, and maintainability, and the will