The role involves designing and implementing agentic AI workflows, including task decomposition, orchestration, and tool integration. The engineer will build advanced retrieval-augmented generation pipelines and develop verification layers to ensure model safety and reliability. Responsibilities include translating product requirements into technical designs and maintaining robust production systems. The position requires collaborating with cross-functional teams to define roadmaps and mentor other engineers. Additionally, the role focuses on integrating AI capabilities into existing services while monitoring performance, latency, and cost.

Candidates must possess at least seven years of professional software engineering experience with a focus on building AI-enabled systems. Proficiency in Python is required, along with experience using Javascript or Typescript frameworks for UI rendering. Applicants need a strong understanding of software design, distributed systems, database queries, and cloud architectures. The role also requires knowledge of security, data privacy, and access control considerations within AI systems.