The role involves designing and delivering production-ready artificial intelligence applications for a financial services organization. The engineer will build document ingestion pipelines and intelligent data processing systems to support real-world decisioning and analytics. Responsibilities include implementing retrieval-augmented generation pipelines and multi-agent systems. The position requires developing scalable microservices and modern user interfaces for complex workflows. Additionally, the role focuses on architecting cloud-native solutions and establishing frameworks for monitoring and evaluating system performance.

Candidates must possess at least seven years of full-stack software development experience with a strong focus on Python. Recent production-level experience with generative AI, specifically building retrieval-augmented generation systems and LLM-powered applications, is required. Applicants need hands-on experience designing scalable APIs, microservices, and distributed systems. Proficiency in cloud platforms and modern frontend frameworks is also necessary for this role.