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.

• 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.