Artificial Intelligence Intern

Company Description Ternuvo AI is a founder-led AI services studio that transforms AI concepts into practical software solutions for real-world business needs. The team builds AI agents, workflow automation tools, custom applications, and RAG (Retrieval-Augmented Generation) solutions that connect business knowledge with existing systems. Ternuvo AI focuses on delivering usable outcomes from initial prototypes through to production deployments. Joining Ternuvo AI offers exposure to cutting-edge AI technologies and the opportunity to contribute to impactful, client-facing solutions.

Role Description The Artificial Intelligence Intern will support the design, development, and evaluation of AI and machine learning solutions within client and internal projects. Day-to-day tasks include researching AI methods, prototyping models, writing and testing code, preparing datasets, and assisting in building AI agents, workflow automation, and RAG-based applications. The intern will collaborate with engineers and founders to document experiments, interpret results, and help improve product performance and reliability. This is a full-time remote role, requiring consistent availability during core working hours and proactive communication in a distributed team environment.

Qualifications

• Strong foundation in Computer Science and Programming, preferably with experience in languages such as Python or similar.
• Solid Analytical Skills and exposure to Data Science concepts, including data cleaning, exploration, and basic statistical reasoning.
• Familiarity with Machine Learning techniques and frameworks (e.g., scikit-learn, TensorFlow, GoogleAdk, Langgraph, Agentic AI) and interest in applied AI.
• Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related technical field.
• Ability to learn quickly, work independently in a remote setting, and collaborate effectively across time zones.
• Experience with cloud platforms, APIs, or building small end-to-end projects is a plus.
• Clear written and verbal communication skills and attention to detail in documentation and code quality.