Full-Stack Software Engineer, AI Data Platform

CoreWeave; Philadelphia (Philadelphia County); On-site; USD 101,000 - 134,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with employer match

Employee stock purchase program (ESPP)

Tuition Reimbursement

Paid parental leave

Job summary

CoreWeave is seeking an Applications Engineer within the Data Infrastructure organization to ship features in UNION and related applications. You’ll work across the stack (TypeScript/React/Next.js in the browser, Python services on Kubernetes) and contribute to AI-facing interfaces and data models.

You will own end-to-end pieces, collaborate with engineering, finance, supply chain, and data center operations, and ship production features with tests, while growing your expertise in AI and data

Qualifications

• 2+ years building production software.
• Backend language Python and JavaScript/TypeScript.
• Experience building web frontends with a modern framework such as React or Next.js.
• Experience building or consuming HTTP APIs in production.
• Working SQL with joins and aggregations on relational databases.
• Some exposure to AI/LLM development, such as prompting or agents.
• Familiar with version control, automated testing, and CI/CD.

Responsibilities

• Ship features in UNION and in applications that run their processes.
• Work across the stack: TypeScript with React/Next.js, Python services on Kubernetes, and data models beneath.
• Own a scoped piece end to end with tests and post-release fixes.
• Collaborate with cross-functional teams across engineering, finance, and data center operations.

Skills

Python

JavaScript/TypeScript

React/Next.js

SQL

CI/CD

AI/LLM exposure

Version control

Docker

Kubernetes

Helm

Tools

Docker

Kubernetes

Helm

Job description

CoreWeave is seeking an Applications Engineer within the Data Infrastructure organization to ship features in UNION and related applications. You’ll work across the stack (TypeScript/React/Next.js in the browser, Python services on Kubernetes) and contribute to AI-facing interfaces and data models.

You will own end-to-end pieces, collaborate with engineering, finance, supply chain, and data center operations, and ship production features with tests, while growing your expertise in AI and data