Job Description

Software Engineer (Intern) | naptha.ai About This Role 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. We’re building 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. What You’ll Do Build and improve components of our agent infrastructure Work on real features that ship to production Collaborate with experienced engineers and researchers Learn about large-scale AI systems and infrastructure Contribute to our agent development platform Gain experience with cutting-edge AI tools and frameworks Technical Areas Backend development with Python and modern frameworks Agent system implementation and testing API development and integration Performance optimization and monitoring Infrastructure and tooling development Testing and deployment automation Requirements Currently pursuing BS/MS in Computer Science or related field Strong programming skills, particularly in Python Basic understanding of AI/ML concepts Experience with software development practices Ability to work independently and learn quickly Strong problem-solving abilities Nice to Have Experience with AI frameworks or tools Familiarity with distributed systems Open source contributions Experience with developer tools Interest in AI infrastructure About The Internship Duration: 12-16 weeks Location: Remote Competitive compensation Real-world project ownership Mentorship from experienced engineers Opportunity for return offers This internship offers a unique opportunity to work on cutting-edge AI infrastructure while learning from experienced technical leaders. You’ll gain practical experience building systems that power the next generation of AI applications.