The role involves designing, engineering, and operating production-grade Agentic AI platforms. The successful candidate will build autonomous systems that incorporate reasoning, planning, memory, and action. Responsibilities include developing scalable backend services and maintaining robust data pipelines to support these intelligent systems. The position requires close collaboration with AI scientists and product teams to translate complex business problems into functional solutions. Additionally, the role focuses on optimizing system performance, latency, and cost while ensuring secure and reliable deployments.

The role requires at least 10 years of experience in software engineering or product development. Candidates must possess expert-level Python engineering skills and proven experience building Agentic AI solutions, including multi-agent orchestration and LLM-based reasoning. Proficiency in data engineering, specifically with SQL and NoSQL databases, is mandatory. A bachelor's degree in computer science, engineering, or a related field is required, though equivalent practical experience is also accepted.