We are looking for a curious individual eager to learn and grow rapidly in the field of AI. You will join a dynamic technical team, working with modern LLM technologies and practical AI applications. **Responsibilities** * Collaborate on the **design, development, and implementation** of LLM-based applications using frameworks such as LangChain; * Support the creation of solutions using **RAG (Retrieval-Augmented Generation)** and **vector databases** (e.g., ChromaDB); * Participate in the development and testing of interactive **user interfaces** using tools such as Gradio, Streamlit, or Shiny; * Assist in the **creation, testing, and refinement of prompts** to improve model performance and accuracy; * Integrate **LLM APIs** from providers such as OpenAI, Google, Anthropic, or Meta; * Contribute to building **AI agents** for task automation; * Consider and support discussions on the **ethical and responsible use** of AI; * Gradually learn and apply **MLOps practices** related to the AI application lifecycle; * Stay updated on **trends and advancements** in AI and LLMs. **Essential Requirements** * Bachelor’s degree in Computer Science, Engineering, Information Systems, or related fields (or equivalent practical experience); * Experience in **programming**, preferably in **Python**; * Basic understanding of **LLMs**, including their capabilities and limitations; * Interest in **prompt engineering**; * Willingness to learn AI development frameworks; * Initial knowledge of **RAG** and vector databases; * Interest in developing interfaces with **Gradio** or **Streamlit**; * Basic knowledge of **software engineering**, including Git/GitHub and API consumption; * Attention to the **ethical aspects** of AI; * Strong analytical ability, problem-solving skills, and communication skills; * Proactivity, curiosity, and adaptability to learning new technologies. **Preferred Qualifications** Prior familiarity (even basic) with: * LLMs and their limitations; * Prompt engineering; * AI frameworks; * RAG and vector databases; * Simple user interface development; * Software engineering best practices (Git, APIs).