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Own and ship backend systems and agentic AI features for telemetry analysis: design agent tool interfaces, build distributed job execution on Kubernetes, implement APIs and MCP server, integrate frontier models, and build evaluation and observability for production agent workloads.

Lead design, build, and operate backend agentic systems that analyze large-scale time-series telemetry. Own product from customer discovery through shipping. Implement APIs, distributed job execution on Kubernetes, sandboxed code execution, context/memory management, evaluation suites, and observability while integrating frontier models and scaling agent workloads.

Build and operate backend systems for agentic AI that analyze large-scale time-series telemetry. Own product features from customer discovery through deployment: APIs, distributed job execution on Kubernetes, sandboxed code execution, context management, observability, model integration, and evaluation suites.

Build and operate agentic backend systems that reason over large-scale time-series telemetry. Design APIs, tool interfaces, sandboxed code execution, distributed job scheduling on Kubernetes, observability, and evaluation suites. Partner with customers and product to turn real workflows into dependable AI agent capabilities across cloud and on-prem deployments.

Build and operate agentic AI systems that analyze large-scale time-series telemetry. Own product features end-to-end—frontend, APIs, and scalable agent runtime—work with customers, integrate frontier models, implement sandboxed execution and observability, and measure agent impact in production.

Own and ship agentic AI features across the full stack: frontend chat surfaces, backend APIs and MCP server, scalable agent orchestration, sandboxed code execution, context management, evaluation suites, and production observability. Partner with customers and product to translate telemetry review workflows into dependable agent capabilities and iterate from MVP to production at scale.

Full‑stack product engineer building and operating agentic AI systems that analyze large-scale time-series telemetry. Own product features end-to-end: frontend UX, backend APIs, agent orchestration, sandboxed code execution, evaluation, observability, and model integrations while working directly with customers.

Build and operate agentic AI systems for hardware telemetry: design frontend surfaces, backend APIs, and scalable orchestration. Own product development from customer discovery through shipping and run evaluation, observability, and model integrations for reliable agent behavior.

Design and implement high-performance frontend interfaces and reusable component libraries for real-time telemetry. Build intuitive data-exploration UIs, optimize web performance, collaborate on API design with backend teams, write maintainable code, and participate in technical design discussions.

Build high-performance data visualization interfaces and reusable component libraries for large real-time telemetry datasets. Collaborate on API design with backend teams, optimize web performance, write maintainable code, and participate in technical design discussions.