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September 16, 2026
Principal Engineer, Agentic AI
Senior
140,000 - 140,000 USD/yr
San Jose, CA
Apply now
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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