The role involves designing, developing, and maintaining mission-critical systems for highly scalable infrastructure. Engineers will architect and integrate application business layers with external components, specifically focusing on agentic workflows and modules powered by generative AI. The position requires breaking down complex solutions into manageable tasks and ensuring the instrumentation and monitoring of AI-driven components. Professionals will lead proof-of-concept initiatives and document design tradeoffs and best practices. Additionally, the work includes optimizing production systems and collaborating across engineering teams to maintain system scalability and stability.

Candidates must possess 13 years of experience with a Bachelor's degree or 10 years with an advanced degree. Required technical expertise includes delivering enterprise-class applications with high-throughput and low-latency, alongside proficiency in GoLang, Java, and Python or Ruby. Applicants must demonstrate strong coding abilities in building generative AI agents and orchestration logic, as well as experience with containerization, NoSQL, and MLOps practices. Furthermore, a solid understanding of microservice architecture and security analysis for AI modules is necessary.