Homeward - Applied AI Engineer

• 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 • 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