Software Engineer, AI-Powered Data Platform

Coreweave; Bellevue (KY); On-site; USD 101,000 - 134,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with generous match

Paid parental leave

Flexible PTO

Employee Stock Purchase Program (ESPP)

Job summary

CoreWeave, The Essential Cloud for AI, is hiring for Applications Engineer within the Data Infrastructure group. You will ship features across UNION and related apps using TypeScript, React, Python, and Kubernetes, impacting internal workflows and customer-facing tooling.

You’ll work alongside senior engineers, own end-to-end pieces, and contribute to AI-enabled data products, APIs, and dashboards used company-wide. Previous AI/LLM exposure is a plus; remote work is variable by role.

Qualifications

• 2+ years building production software or equivalent depth from internships/projects.
• Proficiency in a backend language (Python preferred) and in JavaScript/TypeScript.
• Experience building web frontends with React/Next.js.
• Experience building or consuming HTTP APIs in production.
• Working SQL with joins and aggregations against relational DB.
• Exposure to AI and LLM development (prompting, tool calling, or agents).
• Familiar with version control, code review, automated tests, and CI/CD.

Responsibilities

• Ship features in UNION and related applications across the stack (TypeScript, Python, Kubernetes).
• Take scoped pieces to production with tests and post-release fixes.
• Collaborate with engineers, data teams, and operations to align with business needs.

Skills

Python

TypeScript/React

SQL

CI/CD

LLM development

Version control

English

Tools

Kubernetes

Docker

Helm

Job description

CoreWeave, The Essential Cloud for AI, is hiring for Applications Engineer within the Data Infrastructure group. You will ship features across UNION and related apps using TypeScript, React, Python, and Kubernetes, impacting internal workflows and customer-facing tooling.

You’ll work alongside senior engineers, own end-to-end pieces, and contribute to AI-enabled data products, APIs, and dashboards used company-wide. Previous AI/LLM exposure is a plus; remote work is variable by role.