multiverse - Applied AI Engineer

• Design & Deliver AI/ML solutions: Translate complex stakeholder queries and business hypotheses into actionable experiments and AI/ML model requirements. Partner with Product and Design to deliver features that align with Multiverse’s mission. • Architect LLM & Agentic Workflows: Design and integrate LLM-powered solutions (e.g., GPT, Claude, Gemini) for content generation and personalized learning. Build out our Knowledge Graph capability to underpin agentic workflows and semantic search. • Own the End-to-End Lifecycle: Take full ownership of the journey from data lineage and preprocessing through to experimentation, deployment, evaluation and continuous iteration. Ensure all models adhere to software engineering best practices for production-grade reliability. • Experimentation Rigour & Quality: Proactively monitor and refine models to optimise effectiveness while minimising sampling/analytical biases and operational challenges. Build robust evaluation frameworks to measure accuracy, safety, and inclusivity. • Lead in MLOps & Infrastructure: Build and maintain scalable pipelines for model training and deployment using AWS and modern MLOps practices. Leverage AI-assisted tools like Cursor and Gemini to accelerate development velocity. • Strategic Influence & Mentorship: Bridge the gap between technical concepts and business objectives by communicating actionable insights to stakeholders. Share your expertise to make AI approachable, helping colleagues across Multiverse see how it can enhance their work.