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# Software Engineer - AI/ML Platform

- **Company:** Prima
- **Location:** Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Quality, Programming Tools, Python (Programming Language), Software Architecture, Azure Machine Learning, Software Engineering, Software Systems, Workflow Management Systems, Large Language Models, Containerization, Machine Learning Operations
- **Published:** September 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c2e13f4f49d881a3

## About the Role

* Software engineering experience with Python.
 * Solid foundations in software design and architecture.
 * Experience designing, building and operating reliable software systems.
 * Strong engineering practices around testing, maintainability and code quality.
 * Ability to tackle complex technical problems, make pragmatic design decisions and take ownership of the solutions you build.
 * Stay curious about how AI is changing software engineering and use AI tools pragmatically to work better., * Experience building platforms, developer tooling, or production AI systems.
 * Hands-on experience with cloud-native technologies.
 * Familiarity with ML infrastructure and orchestration tools.
 * Experience with GenAI/LLM infrastructure, such as model APIs, gateways, evaluation systems, observability or cost monitoring.

You don't need to be an ML or AI researcher. We're looking for strong software engineers who are excited about building the technology that enables AI and ML across the full lifecycle - from experimentation and development to deployment, operation and continuous improvement.

## Description

* Design and own core services, APIs and developer tools that support AI and ML across their lifecycle.
 * Solve engineering challenges around scalability, reliability, observability and developer experience.
 * Understand user needs and turn complex problems into simple, reusable platform capabilities.
 * Work closely with engineers and data scientists, taking ownership from technical design through implementation and operation.