AI Intern (Argentina) - Year Round 2026 (Buenos Aires)
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- Buenos Aires
- Prácticas
- Tiempo completo
- Develop and Deploy AI Solutions: Actively participate in the development of large-scale software projects, focusing on building and consuming REST APIs for our generative AI applications.
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- Build with Large Language Models (LLMs): Your daily work will involve hands-on experience with LLMs, including the design and implementation of systems using advanced concepts like Retrieval-Augmented Generation (RAG) and AI Agents.
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- Create Real-World Impact: Contribute to building robust AI agents equipped with custom tools to solve complex problems and create amazing user experiences.
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- Ensure Quality and Performance: Play a key role in the evaluation of our AI systems, helping to define and measure whether our models are performing accurately and effectively.
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- Collaborate and Grow: Work within a dynamic, team-based environment, learning how to solve complex problems and grow into a skilled AI Engineer.
\n\nQualifications\n\n
- Currently attending one of the following universities: ITBA, UNSAM, UBA, UTN, UADE, AUSTRAL\n
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- Advanced student in Computer Science, Software Engineering, or related fields\n
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- Students with at least 18 months remaining until graduation (graduating in December 2027 or later).\n
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- Experience with backend development (Node.js or Python preferred)\n
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- AI Curiosity: You have a genuine interest in Artificial Intelligence and are familiar with the concept of Large Language Models (LLMs).\n
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- Understanding of APIs and general system design\n
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- Strong problem-solving skills and willingness to learn and adapt quickly\n
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- Availability to work in a hybrid model from our office in Buenos Aires.\n
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- Availability of 20 hours a week for at least 1 year of internship.\n
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- Intermediate to Advanced English level.\n
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- Applicants must be authorized to work permanently for any employer in Argentina.\nBonus Points- Exposure to LLMs (OpenAI, Anthropic, etc.)
- Advanced AI Concepts: You’ve heard of or explored concepts like Retrieval-Augmented Generation (RAG), AI Agents, Embeddings, or Vector Databases.
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- Modern AI Tooling: Familiarity with libraries and frameworks like LangChain, LangGraph, or Pydantic.
- Cloud & DevOps: Interest or experience with Cloud platforms (GCP, Azure, AWS) and CI/CD practices.
- Software Engineering Best Practices: Knowledge of Clean Code, SOLID principles, and the importance of virtual environments.
\nEqual Opportunity EmployerAt TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence
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