AI Engineer

🏢 AtScale, Inc. · company page
📍 United States
📅 Posted Oct 11, 2026 · via Himalayas
🏷 AI Engineer, Machine Learning Engineer, Software Engineer, Data Engineer, Research Engineer, Artificial Intelligence Engineer +3 more
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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

- Competitive salary + equity.

- Unlimited PTO and comprehensive benefits.

- The chance to shape the future of a global leader in AI-ready analytics.

Ready to build the future of data? Visit to learn more.

Originally posted on Himalayas

Flights + hotels

This role requires you to be in the United States. If that means relocating or flying in, it is worth checking fares before you commit to a start date.

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