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AI Engineer - Instrumentation

Оценка ИИ

Высокий рейтинг обусловлен лидирующей позицией компании на рынке AI Observability, отличным финансированием (Series C) и конкурентной зарплатой с опционами. Работа над индустриальными стандартами дает уникальный профессиональный вес.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует экспертных знаний в двух стеках (Python и TypeScript) и глубокого понимания OpenTelemetry. Высокая планка ответственности за open-source стандарты и взаимодействие с сообществом делает позицию сложной, но перспективной.

Анализ зарплаты

Медиана175 000 $
Рынок140 000 $ – 230 000 $
Оценка ИИ

Предлагаемая зарплата ($125k - $225k) полностью соответствует рыночным стандартам для Senior/Lead AI инженеров в США, особенно в сегменте высокотехнологичных стартапов. Верхняя граница диапазона является очень привлекательной даже для Tier-1 компаний.

Сопроводительное письмо

I am writing to express my strong interest in the AI Engineer - Instrumentation position at Arize AI. With a solid background in both Python and TypeScript and a deep passion for the evolving LLM ecosystem, I am excited by the opportunity to contribute to OpenInference and help define the semantic conventions for AI observability. My experience in building production-grade software aligns perfectly with your mission to make AI work reliably at scale.

In my previous roles, I have consistently focused on creating robust, developer-centric tools and have a proven track record of engaging with open-source communities. I am particularly drawn to Arize AI's leadership in the observability space and your work with frameworks like LlamaIndex and CrewAI. I am eager to bring my technical versatility to the team to help organizations monitor and optimize their AI agents more effectively.

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Откликнитесь в arizeai уже сейчас

Присоединяйтесь к команде Arize AI и станьте архитектором стандартов OpenInference для будущего всей индустрии ИИ!

Описание вакансии

About Arize

AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.

We’re a Series C company backed by top-tier investors,withover $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies.Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.

The Opportunity

Join Arize AI's Engineering team working on OpenInference – the industry-leading open-source standard for AI observability, LLM and agent instrumentation. You'll be at the forefront of defining how organizations instrument, trace, and observe their AI applications across the entire ecosystem, shaping the future of AI development worldwide. This role puts you at the epicenter of the AI landscape, working directly on the OpenInference repository that powers AI observability for thousands of developers worldwide. You'll synthesize requirements from both the vibrant open-source community and real-world enterprise deployments, translating these diverse needs into practical instrumentation capabilities that drive the future of AI innovation. This is NOT a role for everyone – it demands exceptional technical versatility, deep community engagement, and end-to-end ownership from conception to delivery.

What You’ll Do

  • Build new LLM and instrumentation libraries for emerging LLM providers and agent frameworks
  • Maintain and enhance existing instrumentation across Python and TypeScript ecosystems, and others (OpenAI, Anthropic, LlamaIndex, CrewAI and many more)
  • Drive improvements to semantic conventions and OpenTelemetry standards that define AI observability
  • Collaborate with the global developer community through GitHub, Slack, and conferences, as well as Arize PMs and solution architects
  • Take complex problems from ideation to completion with full ownership and accountability

What We’re Looking For

  • 3-5+ years of software development experience shipping production code
  • Expert-level proficiency in both Python and TypeScript
  • Community-oriented mindset with genuine passion for collaborative open-source development
  • Deep interest in AI/LLM ecosystem with desire to stay current on emerging technologies
  • Strong analytical skills to distill requirements from diverse sources and stakeholders

Bonus Points, But Not Required

  • Experience building SDK clients, instrumentation libraries, or platform APIs
  • Hands-on experience with AI/ML observability or evaluation systems

What Makes This Role Unique?

You'll have direct impact on the AI ecosystem by building instrumentation that powers the next generation of AI applications across thousands of companies. Working at the intersection of open-source community building and enterprise-scale AI deployments, you'll help define industry standards while staying at the forefront of LLM technologies.

The estimated annual salary for this role is between $125,000 - $225,000, plus a competitive equity package. Actual compensation is determined based on a variety of job-related factors that may include transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefits package, including medical, dental, vision, a 401(k) plan, unlimited paid time off, a generous parental leave plan, and additional support for mental health and wellness.

While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.

More About Arize

Arize’s mission is to make the world’s AI work—and work for people.

Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale.

Learn more about what we're doing here:

https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/

https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/

Diversity & Inclusion @ Arize

Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture

  • Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
  • Culturally conscious events such as LGBTQ trivia during pride month
  • We have an active Lady Arizers subgroup
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Создайте идеальное резюме с помощью ИИ-агента

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Навыки

  • Python
  • TypeScript
  • OpenTelemetry
  • LLM
  • Generative AI
  • SDK
  • API
  • LlamaIndex
  • OpenAI
  • Anthropic

Возможные вопросы на собеседовании

Позиция сфокусирована на OpenInference и OpenTelemetry. Важно понимать, как кандидат проектирует передачу данных.

Как бы вы спроектировали семантические конвенции для отслеживания многошагового процесса рассуждения (reasoning) в AI-агенте?

Вакансия требует владения обоими языками на экспертном уровне.

В чем заключаются основные различия при реализации библиотек инструментации для асинхронных сред в Python (asyncio) и Node.js?

Работа предполагает активное участие в open-source.

Расскажите о вашем опыте работы с open-source сообществом: как вы справляетесь с конфликтующими требованиями от разных контрибьюторов?

Инструментация не должна замедлять основное приложение.

Какие стратегии вы используете для минимизации накладных расходов (overhead) при сборе телеметрии в высоконагруженных LLM-приложениях?

Arize работает с ведущими фреймворками.

С какими проблемами вы сталкивались при интеграции инструментов мониторинга в такие фреймворки, как LlamaIndex или LangChain?

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arizeai
Страна
США
Зарплата
125 000 $ – 225 000 $