Requirements

• Demonstrated experience building production software or platform systems
• Strong engineering fundamentals with distributed systems or backend platforms
• Experience or strong interest in observability and debugging complex systems
• Experience or strong interest in AI/ML systems, LLMs, or agent-based architectures
• Strong ownership mindset and ability to drive ambiguous problems to production

Nice to Haves

• Experience with OpenTelemetry and modern observability ecosystems
• Experience designing and operating telemetry pipelines
• Familiarity with AI/agent frameworks
• Experience building cost monitoring, forecasting, and optimization systems for AI workloads
• Familiarity with cloud and infrastructure tooling (e.g., AWS, Azure, Kubernetes, Terraform)

What You'll Be Doing

• Building and evolving AI platform tooling
• Designing developer-friendly APIs, SDKs, and interfaces
• Contributing to systems across the Model Development Lifecycle
• Building and operating observability platforms and telemetry pipelines
• Enabling end-to-end debugging of AI and agent workflows
• Developing systems that turn telemetry into action
• Building tooling for cost visibility, forecasting, and optimization
• Owning projects end-to-end and collaborating with AI teams

Perks and Benefits

• Accelerate AI product development through reusable tooling and paved roads
• Provide end-to-end observability across AI systems
• Enable self-improving systems through telemetry-driven feedback loops
• Optimize cost, performance, and reliability of AI workloads
• Support both production AI systems and internal engineering agents