Applied AI Engineer

Homeward

5d • Remote

About The Position

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.

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

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

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed