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C3 AI

Platform Full-Stack Engineer, New Grad 2027

Redwood City, California, United StatesFrom $150kentryAdded today

About this role

C3 AI seeks early-career full-stack engineers graduating in Summer or Fall 2027 to design and build scalable platform capabilities for the C3 AI Platform, working across the entire technology stack to enable enterprise AI applications.

What you'll do

  • Design, develop, test, and maintain scalable full-stack platform capabilities and services
  • Build reliable APIs, developer tools, and reusable platform services
  • Write clean, maintainable, and efficient code following best practices
  • Enable AI applications to process and scale to large data volumes
  • Collaborate with product, design, and engineering teams to translate requirements into solutions
  • Troubleshoot technical issues and participate in code reviews and continuous improvements

What they're looking for

  • Python, Java, JavaScript, or TypeScript programming
  • Full-stack application development (APIs, databases, distributed systems)
  • Modern software development frameworks and tools
  • Problem-solving and analytical thinking
  • React or similar frontend frameworks
  • Cloud platforms and microservices architecture
  • CI/CD pipelines and software development infrastructure
  • AI/ML integration experience

Benefits

  • Competitive compensation package
  • Generous equity plan
  • Excellent benefits
  • Opportunity to work on enterprise AI platform at scale
  • Fast-paced, agile engineering environment
  • Exposure to cutting-edge AI technologies
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C3 AI

C3 AI builds a platform for developing and deploying full-stack AI applications, serving both enterprise and U.S. federal government customers. The company is hiring Forward Deployed Engineers to build and implement AI solutions directly with customers, as well as IT Help Desk support staff.

Website
c3.ai
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Likely interview questions

  • Tell us about a full-stack project you've built—what were the frontend, backend, and database components?
  • How would you approach debugging a performance issue that spans both frontend and backend layers?
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