Senior Software Engineer, Applied AI

What You’ll Do:

The Applications Engineering team in the Data Infrastructure organization builds AI-native analytics platforms and first-party applications that embed governed data directly into operational workflows. The team develops CoreWeave’s internal data-native software products, transforming data into operational capability through intelligent interfaces, automation, and decision systems. This includes AI-native analytics platforms (e.g., UNION) and mission-critical applications such as capacity planning and scenario modeling. These systems encode CoreWeave’s differentiated operating knowledge into software, enabling scalable, data-driven decision-making across the business.

About the role:

As a Senior Software Engineer, you will design and build production-grade, full-stack applications that make data accessible, actionable, and embedded within CoreWeave’s core workflows. You will develop AI-enabled user experiences, scalable backend services, and intuitive interfaces that abstract away the complexity of underlying data systems. Day-to-day, you’ll work across the stack - from React-based frontends to backend services running on Kubernetes - while integrating AI/LLM capabilities into real-world applications. This role offers high visibility and the opportunity to directly influence how data is consumed and operationalized across the company.

Who You Are: 

• 7+ years of experience building production-grade software applications, including both backend services and modern web frontends
• Strong proficiency in backend programming languages (Python, Go, Java, C#) and frontend programming languages (JavaScript, TypeScript)
• Strong experience building modern frontend applications using frameworks such as React and Next.js
• Hands-on experience with containerization and deployment tooling (e.g., Docker, Helm)
• Experience building and operating APIs and services (e.g., REST, gRPC) with a focus on performance and reliability
• Experience developing and deploying AI/ML/LLM-powered applications in production environments
• Familiarity with data platforms and tools (e.g., Spark, Kafka, or similar systems) and integrating them into application workflows
• Experience implementing software development best practices, including CI/CD, automated testing, observability, and secure application design
• Ability to take ownership of complex systems end-to-end, from design through deployment and iteration

Preferred: 

• Experience building AI-native applications such as text-to-SQL interfaces, copilots, or automated insight-generation systems
• Experience designing and building scalable, distributed systems deployed in cloud-native environments (e.g., Kubernetes)
• Familiarity with real-time data processing or streaming architectures
• Experience building internal platforms or tools that enable self-service analytics or decision-making 

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. &