Postúlate en Kit Empleo: kitempleo.pe/empleo/wjxkz

About the Role This position is for students who are excited about applying AI to improve how software is built. You will work on real-world projects that explore how large language models and AI tools can enhance developer productivity and engineering workflows. You’ll gain hands‑on experience building AI-powered tools and contributing to a growing internal AI platform. What You Will Do Assist in building AI tools such as coding assistants, automation scripts, and knowledge Q&A; systems Support the development of LLM-based applications (e.g., prompt optimization, lightweight RAG pipelines) Contribute to initiatives that improve engineering efficiency and developer experience Help test, iterate, and document internal AI tools and platforms Research and experiment with emerging AI technologies and use cases What We're Looking For Currently pursuing a Bachelor’s or Master’s degree in Computer Science or a related field Proficiency in at least one programming language (Python preferred)



Strong fundamentals in programming and problem‑solving Interest in AI, especially large language models (LLMs) Experience using tools like ChatGPT, Copilot, or similar Familiarity with basic software development workflows (e.g., Git, debugging) Good communication skills and willingness to learn Bonus Points Experience with AI‑related projects (e.g., chatbots, NLP, automation tools) Exposure to Prompt Engineering or AI‑assisted development workflows Coursework or basic knowledge in machine learning or NLP Personal projects, technical blogs, or GitHub portfolio What Makes You a Fit for Tech Seeds 2026 You've already been experimenting with AI tools on your own — not because you had to, but because you were curious. You learn fast and want to build things that work in the real world.

Postúlate en Kit Empleo: kitempleo.pe/empleo/wjxkz

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