1 день назад
Principal Engineer (AI)
217 300 - 271 600$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Engineer (AI/Observability): Building and deploying AI-native agentic workflows and intelligent agents for engineering productivity, observability intelligence, and operational excellence with an accent on LLMs, telemetry, distributed systems, and automated diagnostics. Focus on architecting multi-step reasoning systems, integrating agents across cloud infrastructure and CI/CD workflows, and improving reliability, debugging, and MTTR.
Location: Remote within the United States; listed locations include San Jose, San Diego, and Seattle
Salary: $217,300–$325,900 annually
Company
provides an autonomous knowledge platform that unifies data, knowledge, and business context for enterprise intelligence across on-premises, cloud, and hybrid environments.
What you will do
- Lead the design and development of AI-native agentic workflows for engineering productivity, observability intelligence, and operational excellence.
- Architect and build intelligent 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 that accelerates development, reduces operational toil, and improves MTTR.
- Apply LLMs, reasoning frameworks, and advanced AI patterns to automate debugging and system diagnostics.
- Partner with engineering, platform, cloud operations, research, and product teams to embed intelligent automation into CI/CD, DevOps, and support workflows.
Requirements
- 8+ years of software engineering experience with deep exposure to AI/ML systems in production.
- Proven experience building AI agents, LLM-driven systems, or autonomous workflows.
- Strong Python programming skills and expertise in at least one of Java or Go.
- Experience with distributed systems, telemetry data, and observability architectures.
- Knowledge of prompt engineering, model evaluation, agent orchestration, reasoning frameworks, and AI-assisted development.
- Ability to work remotely within the United States.
Nice to have
- Experience building agentic systems for observability, automated remediation, or intelligent diagnostics.
- Familiarity with OpenTelemetry, Prometheus, distributed tracing, or similar observability stacks.
- Experience integrating LLMs into production workflows with guardrails and evaluation mechanisms.
- Experience designing multi-step reasoning workflows and autonomous decision agents.
Culture & Benefits
- Flexible work model supporting decisions about when, where, and how to work.
- People-first culture focused on employee well-being and inclusion.
- Healthcare, life and disability insurance, retirement savings, 401(k), and time-off programs.
- Annual incentive plan eligibility for permanent non-sales roles.
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