Applied AI Engineer

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Homeward

201 - 500 employees

🏠 Real Estate

💸 Finance

💳 Fintech

Real Estate • Finance • Fintech

Homeward is a real estate company that offers innovative solutions for home buyers and sellers. They provide services that allow clients to make cash offers on new homes before selling their current homes, thus avoiding the traditional contingency-based offers. Homeward enables a more flexible home-buying experience, supporting both home buyers and real estate agents with tools to secure homes in competitive markets by leveraging cash. The company focuses on providing market value offers for sellers and facilitating quick and smooth transitions to new homes for buyers, without sacrificing potential profits in traditional market sales.

📋 Description

• 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.

🎯 Requirements

• 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 willingness to make the call. • Incredibly strong ownership of delivering the right solutions at a high quality. • Strong written and verbal communication skills, and the ability to make complex things clear to others. • A build, test, learn mindset with a bias toward action and a focus on business outcomes. • Scrappy and flexible - from updating an email template to building a complex web app, you do what the team needs and you're eager to learn along the way. • General curiosity and comfort navigating a fast-changing AI landscape. • Working knowledge of version control and CI/CD tools.

🏖️ Benefits

• Comprehensive medical, dental, vision, and life insurance coverage – with company contributions towards premiums. • Meaningful time off – including 20 days of paid vacation, 5 sick days, 12 company holidays, and 2 floating holidays. • Generous paid parental leave of up to 13 weeks. • 401(k) with employer contribution match. • Remote-first work environment (our headquarters are in Austin, TX). • Collaborative, low-ego team that values intellectual curiosity and continuous improvement.

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