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

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

Software Engineer – Senior Software Engineer, AI Platform

Key skills