✨ About The Role
- The Senior Applied AI Engineer will work on the Canvas team, focusing on AI Assist, which enhances user experience through intelligent recommendations.
- This role involves applying advanced AI technologies to create customer-facing solutions that simplify complex workflows.
- The engineer will be responsible for developing tools to benchmark and monitor AI performance, ensuring improvements align with customer value.
- The position requires creating systems that capture user interactions to dynamically refine AI models.
- The role emphasizes collaboration with a team to push the boundaries of automation and generative AI.
âš¡ Requirements
- The ideal candidate will have over 6 years of professional experience in software engineering, with a focus on AI/ML systems for at least 2 years.
- A deep understanding of large language models (LLMs) and advanced prompting techniques is essential for success in this role.
- Experience in designing and optimizing retrieval-augmented generation (RAG) systems is highly valued.
- The candidate should have expertise in managing LLM limitations, including bias control and hallucination mitigation.
- Strong knowledge of graph-based and relational database models is necessary to represent complex relationships effectively.