Arize работает в быстро развивающейся сфере наблюдаемости ИИ, а роль сочетает работу с LLM и развитие сообщества разработчиков; главный нюанс - это не позиция в основной инженерной команде.
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Ниже рынкаРазвитие сообществаСовременный ИИ-стекВостребованная сфераТолько регион SF
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Applied AI Engineer (Generative AI/LLM): Building agent and assistant examples, educational content, and developer experiences for an AI observability and evaluation platform with an accent on Python, LLM application development, and developer community growth. Focus on creating technical resources, developing Claude Code and Cursor skills, advocating for AI developers, and sharing best practices for improving production ML models and LLM-powered applications.
Location: Remote, but candidates must be based in the San Francisco Bay metro area; no in-office requirement. The role includes attending evening meetups and events in the SF Bay Area.
Salary: $100,000–$175,000 annual base salary, plus equity and benefits.
Company
Arize AI provides an AI and agent engineering observability and evaluation platform for building, testing, monitoring, troubleshooting, and improving AI systems in production.
What you will do
Write code and build reference examples for agents and assistants using different frameworks.
Create technical content, including GitHub repositories, blogs, eBooks, product documentation, workshops, and demos.
Build Claude Code and Cursor skills for automating systems.
Improve the growth marketing experience and represent the perspective of AI engineers across the user and developer communities.
Advocate for Arize's SaaS and open-source offerings, distill developer feedback and market insights, and inform roadmap and go-to-market activities.
Develop best practices for troubleshooting and improving production ML models and LLM-powered applications, and speak at company-hosted and industry events.
Requirements
Working knowledge of generative AI.
Technical experience with the LLM application development stack, including agents, orchestration frameworks, vector databases, and evaluation libraries, with proficiency in Python.
Engagement in technical communities through platforms such as GitHub, Medium, DZone, Stack Overflow, Reddit, or LinkedIn.
Data-driven creativity and the ability to ideate and deliver activities that earn the attention and trust of AI and ML practitioners.
Ability to self-learn, handle technical complexity, and develop an independent point of view.
Excellent written and verbal communication.
Willingness to attend evening meetups and events in the San Francisco Bay Area.
Culture & Benefits
Remote-first work with optional in-person work from offices in New York City and the San Francisco Bay Area.
WFH monthly stipend for coworking spaces for employees outside those office locations.
Medical, dental, and vision coverage, a 401(k) plan, unlimited paid time off, and generous parental leave.
Mental and wellness support.
Opportunities to engage with industry experts, researchers, and ethicists on responsible AI.
Culturally conscious events and an active Lady Arizers employee group.
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