• Work closely with business stakeholders to rapidly develop, demonstrate, and refine AI solutions. • Take a hands-on engineering approach focused on building rather than advising. • Work directly with the client to translate business problems into AI-enabled prototypes and production-ready solutions.

• 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.

• Lead the design, architecture, and deployment of enterprise-grade AI solutions built on modern agentic AI frameworks. • Define end-to-end AI architecture, establish governance standards, and ensure scalable, secure, and production-ready AI systems. • Collaborate with engineering teams, solution architects, business stakeholders, and client leadership to transform complex business challenges into innovative AI-driven solutions. • Establish AI architecture standards, define governance and observability frameworks, ensure regulatory compliance, and drive technical excellence across multiple engagements.

• Researching and developing our platform with cutting-edge AI agents