Job Summary: We are seeking a Python backend developer with experience in AI services to design and build solutions that integrate into modern data architectures, orchestration systems, and observability frameworks. Key Highlights: 1. Design and build production-ready AI services in Python. 2. Collaborate with Data Scientists and architects on AI projects. 3. Participate in technical decisions and propose improvements. We’re looking for someone who feels energized when opening their editor, smells Python, and knows that from there will emerge a production-ready AI service—not just a demo. Clean APIs, Kubernetes deployments, and seeing your developments run in real environments drive them. **Who Are We?** At **PROCESIA**, we help high-impact organizations bring artificial intelligence and data to real-world projects—delivering visible and measurable results. Here, it’s not just about coding—it’s about **designing and building AI services in Python** that integrate seamlessly with modern data architectures, orchestration systems, and observability frameworks. You’ll fit right in if you enjoy understanding the project context, proposing solutions, and seeing your services scale and be genuinely used. **What We’d Like to See in Your Toolkit:** * Solid experience in IT projects, with several years dedicated to Python backend development. * Hands-on work with artificial intelligence services: model integration, data flows, pipelines, etc. * Comfort developing REST APIs using FastAPI or Flask, and documenting them with OpenAPI or Swagger. * Experience working with Docker and Kubernetes as a natural part of your daily workflow. * Practical knowledge of SQLAlchemy and PostgreSQL, and asynchronous queuing systems such as Celery or **Redis.** **What Your Day-to-Day Will Look Like:** You’ll join a highly AI-focused team (Data Scientists, architects, other Python consultants), where each person contributes their expertise to bring use cases into production. You’ll: * Design and develop Python-based APIs and backend services that connect AI models with the rest of the ecosystem. * Build and maintain continuous integration and deployment pipelines, packaging with Docker and deploying on Kubernetes. * Manage data persistence using SQLAlchemy and PostgreSQL, and handle asynchronous execution with Celery or Redis—backed by structured logging to simplify operations. * Collaborate closely with Data Scientists and architects to transform prototypes into stable, observable, and scalable services. * Participate in technical decision-making, proposing performance, quality, and code best-practice improvements. **What PROCESIA Offers You** We want you to thrive in an environment where you can grow, propose ideas, make mistakes, learn, and truly enjoy **coding** and your team. We want you to enjoy both the project and its broader context—which is why we consciously care about working conditions and atmosphere. * A stable, highly visible project with strong technological depth and innovation in AI services. * Hybrid work model with 33% on-site presence (**Pozuelo de Alarcón / Northern Area**). * Permanent contract, full-time, hybrid/remote model, and flexible hours—making work-life balance a reality, not just an aspiration. * English classes from day one, support for technical certifications, and a personalized career plan designed to help your architect profile grow year after year. * Three months of summer reduced working hours, plus reduced hours every Friday, and no work on Christmas Eve or New Year’s Eve. * Private health insurance with no co-payments, a supportive and positive environment, free coffee and tea in the office, and a Management 3.0 model where your judgment matters and is heard. * Competitive salary aligned with your experience and potential, reviewed annually so your growth and the value you deliver are reflected in your paycheck. Join us to build Python-based AI services that are truly used—and become part of a team that combines technical rigor with a great working atmosphere