Software Engineer, Senior Software Engineer - AI Platform

Responsibilities Build and maintain backend services that support agent execution, orchestration, and lifecycle management. Develop systems for workflow coordination, state management, and tool integration. Write high-quality, maintainable code in Python to power platform capabilities and APIs. Deploy and operate services on Kubernetes, ensuring reliability and scalability. Contribute to systems for observability, logging, tracing, and debugging of distributed workflows. Improve system performance across latency, throughput, and fault tolerance. Build internal tools and APIs that improve the developer experience for teams using the platform. Collaborate with engineers, product managers, and AI teams to deliver production-ready solutions. Participate in design discussions and contribute to system architecture and technical decisions. Requirements 3+ years of software development experience building backend systems or services. Strong proficiency in Python (or similar languages such as Go or Java). Experience designing and building distributed systems and scalable services. Experience running and operating services in Kubernetes-based environments. Familiarity with machine learning or LLM-powered applications and the challenges of running them in production. Experience designing systems with a focus on reliability, scalability, observability, and maintainability. Strong understanding of APIs, asynchronous processing, and service-oriented architecture. Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent practical experience. 5+ years of software engineering experience building and operating production-grade backend or platform systems for senior level. Ability to navigate ambiguity, make sound technical decisions, and drive projects end-to-end. J-18808-Ljbffr