Software and AI Engineer

CoreWeave•San Francisco, NY

About The Position

The Strategy and Transformation team builds intelligent systems and first-party applications to improve how CoreWeave’s internal teams work. It partners with Finance, Supply Chain, HR, and core business operations to connect workflows across enterprise platforms, including ERP, HRIS, MRP, PDM, and DCIM. As a Software and AI Engineer, IT Systems, you will design and build AI agents, copilots, and first-party applications that make internal workflows more intelligent, automated, and intuitive. The role spans applied AI, product design, and full-stack engineering, including agentic workflows built with integration platforms and AI frameworks, React interfaces, and backend services in Node.js and Go. You will collaborate with business and technical stakeholders to deliver user-centered tools, while building security, observability, and maintainability into applications across the stack.

Requirements

At least 3 years of programming experience in C++, Go, C#, Java, TypeScript, or Python, building production-grade cloud services.
At least 3 years of scripting experience in Python or Bash for automation and tooling.
Solid experience designing RESTful APIs and event-driven integration architectures.
Experience building and deploying production-grade applications and microservices.
Experience with cloud environments (AWS, Azure, or GCP), container orchestration, and DevOps and CI/CD practices.
Experience with modern backend and frontend technologies; relevant technologies include React, TypeScript, Node.js, Go, FastAPI, Next.js, Kestrel, or gRPC.
Familiarity with generative AI frameworks and APIs, such as LangChain, LangGraph, OpenAI, or Glean, and how they can be applied in products.
Motivation to build user-facing tools that improve business productivity and employee experience.

Nice To Haves

Experience shipping production-grade AI, ML, or LLM-based applications at scale.
Experience developing AI-powered or agentic applications integrated with enterprise data.
Familiarity with machine learning and data engineering platforms such as Ray, Kafka, or Spark.
Experience with iPaaS platforms such as Workato or Boomi.
Exposure to Finance, Supply Chain, or other operational domains where intelligent automation can drive efficiency.
Experience with AI-assisted development tools such as Cursor, Claude, or ChatGPT Codex.
A collaborative approach and an eye for user experience and long-term system maintainability.

Responsibilities

Develop AI agents and copilots for Finance, Billing, Supply Chain, and other internal teams using frameworks and APIs such as LangChain, LangGraph, Cohere, OpenAI, Gemini, and Glean.
Design and build first-party web and mobile applications using React, TypeScript, and modern front-end frameworks.
Develop scalable backend services in Node.js and Go for data processing, orchestration, and automation.
Integrate enterprise systems—including ERP, HRIS, MRP, PDM, DCIM, and data warehouses—through native integrations or iPaaS platforms such as Workato or Boomi.
Build APIs and microservices that support modular, event-driven application architectures.
Use generative AI development tools such as Cursor, Claude, Copilot, and ChatGPT Codex to accelerate implementation, testing, and documentation.
Build observability, maintainability, and security into applications across the stack.
Partner with stakeholders in Finance, Accounting, Security, Engineering, and other business teams to design useful, user-centered workflows.