- Develop clean, maintainable, and efficient Python code for high-scale content platforms and data-intensive applications
- Assist in building and deploying AI features, including RAG pipelines and LLM integrations using Vertex AI
- Design and configure scalable backend architectures on Google Cloud Platform using Cloud Run, GKE, and Cloud Functions
- Participate in creating Technical Design Documents and translating business requirements into backend components
- Manage the full code lifecycle from local development to production using Terraform and CI/CD pipelines
- Collaborate with US-based product owners and European delivery teams
- Apply best practices in API design, security, and automated testing
- Develop and maintain backend systems powering AI-driven enterprise applications for North American clients

Requirements
- 2-3 years of professional experience in backend development, or relevant academic/project experience with a strong interest in backend engineering and web services
- Good understanding of Python
- Familiarity with web frameworks such as FastAPI, Flask,



or Django
- Basic understanding of asynchronous programming is a plus
- Basic understanding or hands-on exposure to Google Cloud Platform
- Familiarity with Cloud Run, App Engine, BigQuery, or Cloud SQL is a plus
- Interest in AI/ML technologies and curiosity about integrating LLMs into applications
- Exposure to LLMs, APIs, or vector databases is a plus
- Basic understanding of Docker
- Familiarity with cloud-based development environments
- Exposure to Kubernetes or Terraform is a plus
- Good English communication skills
- Ability to collaborate effectively with team members and ask questions when needed
- Flexibility for early-morning syncs

Core Competencies
Proficient in developing scalable backend architectures and efficient Python code for data-intensive applications, with a strong focus on AI feature integration and cloud technologies. Demonstrates effective collaboration and communicati

📌 Python Software Engineer (Buenos Aires)
🏢 Jobtailor
📍 Buenos Aires