Software and AI Engineer

CoreWeave•Dallas, TX

9d•Onsite

About The Position

The Strategy and Transformation team builds intelligent internal systems that improve how CoreWeave operates. The team partners with groups including Finance, Supply Chain, HR, and core business operations to develop AI-powered workflows and first-party applications that connect enterprise platforms such as ERP, HRIS, MRP, PDM, and DCIM. We’re looking for a curious, energetic, and innovative Software and AI Engineer to join our Strategy and Transformation team. You’ll help build intelligent AI agents and full-stack applications supporting Finance, Supply Chain, HR, Legal and Data center operations, integrating with systems such as ERP, HRIS, MRP, PDM, and DCIM. This role is ideal for an early-career engineer with solid programming fundamentals who wants to grow at the intersection of software engineering, product development, and applied AI. As a Software and AI Engineer, IT Systems, you’ll develop well-defined features, application components, and AI workflows with guidance from experienced engineers. You’ll contribute across the development lifecycle, including implementation, testing, deployment, documentation, and production support. You’ll gain hands-on experience with AI frameworks and APIs such as LangChain, LangGraph, OpenAI, Gemini, and Glean; integration platforms such as Workato or Boomi; React-based interfaces; and backend services written in Node.js, Go, or Python.

Requirements

2+ year of hands-on software development experience, including relevant internships, co-op assignments, or substantial project work.
Working proficiency in one or more programming languages such as TypeScript, Python, Go, Java, C#, or C++.
Solid understanding of programming fundamentals, data structures, debugging, and software testing.
Good understanding of system design concepts and the ability to evaluate tradeoffs across performance, reliability, cost, and maintainability, with guidance from experienced engineers.
Experience building web applications or backend services using frameworks such as React, Next.js, Node.js, or FastAPI.
Familiarity with RESTful APIs, databases, and basic application integration concepts.
Familiarity with Git, collaborative development, and CI/CD concepts.
Basic understanding of cloud platforms such as AWS, Azure, or GCP.
Exposure to LLM APIs, AI frameworks, or AI-powered application development through professional, academic, or personal projects.
Ability to learn new technologies, incorporate feedback, and complete well-defined tasks with guidance.
Clear communication skills and an interest in building tools that improve business productivity and employee experience.

Nice To Haves

Experience building an AI-powered application, chatbot, or automation workflow.
Exposure to LangChain, LangGraph, OpenAI, Gemini, Glean, or similar frameworks and APIs.
Familiarity with Workato, Boomi, or other integration and automation platforms.
Experience scripting in Python or Bash.
Exposure to containers, application monitoring, or cloud deployment.
Interest in Finance, Supply Chain, HR, or other enterprise business workflows.
Attention to user experience, code quality, and maintainability.

Responsibilities

Develop and maintain scoped features for internal AI agents, copilots, and first-party applications.
Build user interfaces using React, TypeScript, and modern frontend frameworks.
Implement backend services and automation scripts for data processing and workflow orchestration.
Integrate LLM APIs and AI capabilities into applications using established designs and engineering patterns.
Build and maintain APIs and enterprise integrations under the guidance of experienced engineers.
Write tests, troubleshoot defects, and participate in code reviews to improve application quality.
Add logging, monitoring, and error handling to support reliable application operation.
Follow established security, access control, deployment, and documentation practices.
Use AI development tools such as Cursor, Claude, GitHub Copilot, and Codex, reviewing and validating generated code.
Collaborate with engineers and business stakeholders to understand requirements and incorporate feedback.
Take ownership of assigned work, communicate progress, and raise blockers promptly.