Senior Software Engineer, Applied AI

About the role

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.

Responsibilities

• Design and build production-grade, full-stack applications that make data accessible, actionable, and embedded within CoreWeave’s core workflows.
• Develop AI-enabled user experiences, scalable backend services, and intuitive interfaces that abstract away the complexity of underlying data systems.
• Work across the stack - from React-based frontends to backend services running on Kubernetes - while integrating AI/LLM capabilities into real-world applications.
• Take ownership of complex systems end-to-end, from design through deployment and iteration.

Requirements

• 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).
• 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.

Qualifications

• Expertise in designing and shipping systems that are both scalable and usable.
• 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.

Skills

• Strong proficiency in backend programming languages (Python, Go, Java, C#).
• Strong proficiency in frontend programming languages (JavaScript, TypeScript).
• Hands-on experience with containerization and deployment tooling (e.g., Docker, Helm).
• Experience building and operating APIs and services (e.g., REST, gRPC).
• 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).
• Experience implementing software development best practices, including CI/CD, automated testing, observability, and secure application design.

Benefits

• Medical, dental, and vision insurance - 100% paid for by CoreWeave.
• Company-paid Life Insurance.
• Voluntary supplemental life insurance.
• Short and long-term disability insurance.
• Flexible Spending Account (FSA).
• Health Savings Account (HSA).
• Tuition Reimbursement.
• Absenteeism Reimbursement.
• Ability to Participate in Employee Stock Purchase Program (ESPP).
• Mental Wellness Benefits through Spring Health.
• Family-Forming support provided by Carrot.
• Paid Parental Leave.
• Flexible, full-service childcare support with Kinside.
• 401(k) with a generous employer match.
• Catered lunch each day in our office and data center locations.
• A casual work environment.
• A work culture focused on innovative disruption.

Pay

The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation.

Schedule

We offer flexible working hours and a casual work environment.