AI工程师

AI Engineer

AI开发工程限定地区（需当地身份）

公司AtScale, Inc.

薪资未公开

工作地点United States

地域资格限定地区（需当地身份）

时区要求日间重叠约 9 小时，基本正常作息

用工类型Full Time

发布时间4 天前

数据来源Himalayas

前往 Himalayas 查看并投递 →

注意地域限制：该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者，通常需要当地工作身份才能投递，或需与雇主确认是否接受独立合同（Contractor）形式合作。

The Mission

AtScale is the semantic layer for modern data and AI. We bridge the gap between complex cloud data platforms—like Snowflake, Databricks, and Google BigQuery—and the business users who need consistent, AI-ready analytics. We are looking for a Senior Engineer AI to help us redefine how the world handles business intelligence.

The Impact You’ll Make

In this role, you will:

Design and Productionize AI Solutions: Build, optimize, and scale GenAI solutions, leveraging foundational model APIs, 3rd party frameworks (such as LlamaIndex), and embedding optimization to solve complex customer problems.

Collaborate and Integrate: Partner closely with DevOps, AI, and software engineering teams to seamlessly integrate AI models, debug AI-generated responses, and ensure smooth software functionality.

Drive Standards and Quality: Assess AI-generated content for bias, accuracy, and compliance while continuously measuring model performance to recommend scalable improvements.

Why You’ll Love It Here

Ownership & Autonomy: You thrive as an individual contributor, owning your outcomes and driving real change.

Innovation-First: Work at the intersection of AI and data at a company hitting its next major inflection point.

Culture of Trust: Enjoy a flexible, remote-friendly environment built on transparency and professional growth.

Who You Are

You are comfortable in fast-paced environments where priorities can shift quickly, finding it difficult to turn down a good challenge.

You value quality over speed, keep abreast of the latest AI tools and technologies, and have a strong curiosity for scalable GenAI deployment.

You have 10+ years of engineering experience (with 7+ years specifically developing AI algorithms or technologies), proficiency in Python, cloud platforms (AWS, Azure, GCP), Docker/Kubernetes, and Git/CI/CD pipelines.

You are based in or able to work East Coast (ET) hours, overlapping with our core collaboration hours of 10 AM to 5 PM EST (EST or CST candidates preferred).

The Perks