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September 16, 2026

Principal Engineer, Agentic AI

Senior

140,000 - 140,000 USD/yr

San Jose, CA

Quick Facts

  • Role: Principal Engineer, Agentic AI

Description

Lead the design and development of AI-native agentic workflows to improve engineering productivity, observability intelligence, and autonomous operational excellence across the AI platform. Architect and build AI agents for observability use cases such as automated root-cause analysis, anomaly detection, and intelligent diagnostics. Apply LLMs and reasoning frameworks to automate complex debugging and system operations, integrating across telemetry, application stacks, and cloud infrastructure.

Responsibilities

  • Design and build AI-native agentic workflows for productivity, observability intelligence, and end-to-end operations

  • Architect AI agents for observability, automated root-cause analysis, anomaly detection, and engineering productivity optimization

  • Integrate agentic workflows across telemetry pipelines, application stacks, and cloud infrastructure

  • Develop AI-driven tooling to increase development velocity, reduce operational toil, and improve MTTR

  • Apply LLMs, reasoning frameworks, and advanced AI patterns for debugging and system diagnostics

  • Drive AI-native development practices across apps, tooling, and platform engineering

  • Partner across engineering teams to embed intelligent automation into CI/CD, DevOps, and support workflows

  • Explore and implement ways AI can improve productivity and impact across the workforce

Requirements

  • 8+ years of software engineering experience with deep exposure to AI/ML systems in production environments

  • Proven experience building AI agents, LLM-driven systems, or autonomous workflows (not just consuming AI APIs)

  • Strong programming expertise in Python (required) and at least one of Java or Go

  • Experience working with distributed systems, telemetry data, and observability architectures

  • Foundational AI skills: prompt engineering, model evaluation, agent orchestration, reasoning frameworks, and applying AI to improve engineering and operational outcomes

Benefits

  • Flexible work model and people-first culture

  • Well-being focus

  • Diversity, equity, and inclusion commitment

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