Remote Software Engineer (Intern)

Posted

Apply now
Please, let Naptha AI know you found this job on RemoteYeah. This helps us grow 🌱.

Description:

  • We are seeking exceptional Software Engineering interns to join Naptha AI and contribute to building the future of AI agent infrastructure.
  • This internship offers hands-on experience working with frontier AI technology, backed by industry veterans and technical leaders through NVIDIA Inception, Google for Startups, and Microsoft for Startups.
  • Interns will build the foundational infrastructure for the next wave of AI companies, enabling frontier AI developers to build products powered by enormous networks of highly capable next-generation AI agents.
  • As an Engineering Intern, you'll work directly with our technical team on real projects that impact our core platform.
  • Responsibilities include building and improving components of our agent infrastructure, working on real features that ship to production, collaborating with experienced engineers and researchers, learning about large-scale AI systems and infrastructure, contributing to our agent development platform, and gaining experience with cutting-edge AI tools and frameworks.

Requirements:

  • Candidates must be currently pursuing a BS/MS in Computer Science or a related field.
  • Strong programming skills, particularly in Python, are required.
  • A basic understanding of AI/ML concepts is necessary.
  • Experience with software development practices is expected.
  • Candidates should have the ability to work independently and learn quickly.
  • Strong problem-solving abilities are essential.

Benefits:

  • The internship duration is 12-16 weeks.
  • The position is remote, allowing for flexibility in work location.
  • Competitive compensation is offered for the internship.
  • Interns will have real-world project ownership, providing valuable experience.
  • Mentorship from experienced engineers will be provided throughout the internship.
  • There is an opportunity for return offers based on performance during the internship.
Leave a feedback