Applied AI Software Engineer, Data Engineering Agent

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or storage.
• Experience with the following: Backend, Distributed Systems, Machine Learning Infrastructure.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• Experience programming in Java, C++, or Python.
• Experience with Generative AI Agent, AI Platform, Machine Learning, or Intelligent Agent.
• Experience using collaborative notebook-based workflows (e.g. Jupyter) for prototyping and knowledge sharing.
• Expertise in AI/ML product and platform development, quality evaluation framework and improvement.
• Passionate about delighting enterprise customers, and an excellent understanding of enterprise workloads.

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or storage.
• Experience with the following: Backend, Distributed Systems, Machine Learning Infrastructure.