Job Summary: We are seeking a Software Engineer with experience in Python and Generative AI to lead the design and deployment of solutions based on LLMs, intelligent agents, and RAG architectures. Key Highlights: 1. Participation in high-impact Generative AI projects. 2. Collaborative work environment with an engineering culture. 3. Professional growth opportunities. **Description:** ---------------- At JCARRION, we are looking to hire a **Software Engineer** with experience in **Python and Generative AI** to lead the design and deployment of solutions based on LLMs, intelligent agents, and RAG architectures. This position is part of Central Services and has a direct impact on the company’s technological evolution. *What will be your responsibilities?* * Developing Python applications integrating language models (LLMs) into production environments. * Designing and optimizing RAG pipelines (embeddings, semantic search, vector databases). * Building agents and automations using LangChain and associated frameworks. * Developing scalable APIs with FastAPI. * Participating in architectural decisions and applying best practices (testing, CI/CD, code review). * Collaborating with business, data, and systems teams for AI solution integration. * Mentoring technical profiles and contributing to continuous team improvement. *What do we offer?* * Participation in high-impact Generative AI projects. * A collaborative work environment with top-tier engineering culture. * Access to continuous training. * On-site work mode with one remote day per week. * Professional growth opportunities within the organization. * Modern offices at PITA. * Free gym at the site. * Daycare service. **Requirements:** --------------- *What are we looking for?* * 8 years of professional software development experience. * 4 years of specific production-level Python development experience. * Demonstrable experience designing distributed systems and microservice architectures. * Experience working with agile methodologies (Scrum, Kanban) in multidisciplinary teams. * Solid backend development experience with Python. * Practical knowledge of Generative AI, LLMs, and RAG architectures. * Experience developing APIs and cloud environments.