Back-End Engineer

• Maintain, scale, and secure our Python FastAPI backend and microservices.
• Serve and optimize large language models (LLMs) via performant, cost-aware inference endpoints.
• Design and build robust, scalable APIs to support product and customer use cases.
• Set up and manage CI/CD pipelines, observability, and monitoring to ensure system reliability.
• Manage cloud infrastructure and optimize spend, balancing performance and cost.
• Implement security best practices and support compliance with frameworks like SOC 2 and ISO 27001.
• Work closely with product and front-end engineers, translating user and product needs into scalable backend architecture.
• Collaborate with technical vendors, AI providers, and cloud platforms on integrations and deployments.
• Triage and resolve backend bugs or incidents, especially those affecting customer experience.
• Support post-sales technical implementation and onboarding for enterprise customers.

A cutting-edge AI technology firm in Barcelona seeks a Back-End Engineer to shape infrastructure for generative AI. You will maintain and secure a Python FastAPI backend, design scalable APIs, and implement best practices for security and compliance. Ideal candidates have 3+ years of experience and strong skills in Python, FastAPI, and cloud platforms. The role offers a collaborative culture, high ownership, and opportunities for growth in a flexible hybrid or remote work environment., * 3+ years as a backend engineer working on production systems.

• Strong proficiency in Python and experience building with FastAPI or similar frameworks.
• Deep experience with RESTful APIs, PostgreSQL, and Docker.
• Solid understanding of backend infrastructure, including deployment, CI/CD, observability, and debugging.
• Experience working with or integrating LLM inference pipelines.
• Familiarity with cloud platforms (e.g. AWS, GCP, or Azure).
• Strong understanding of security, data privacy, and compliance in an enterprise SaaS context.
• Clear communicator and cross-functional collaborator.
• Comfortable working in a startup environment with shifting priorities and open threads.