Artificial Intelligence (AI) Application Engineer – Development and Production (Python, LLMs, Cloud)

Description

Job Summary: We are seeking an AI Application Engineer to design, develop, deploy, and maintain AI applications, integrating Machine Learning and generative AI models into systems to solve business problems. Key Highlights: 1. AI Application Design and Development 2. Integration of AI Models into APIs and Applications 3. Strategic Collaboration with Business and Product Teams DESCRIPTION We require an **Artificial Intelligence (AI) Application Engineer**, with a minimum of 4 years of experience, to work remotely on strategic projects for a Spanish multinational. **Responsibilities:** * **Design and Development:** Design, develop, deploy, and maintain applications incorporating AI models to solve real business or end-user problems. * **System Integration:** Integrate AI models (Machine Learning and generative AI) into APIs, backend services, or web applications. * **Strategic Collaboration:** Collaborate with business and product teams to translate functional requirements into high-impact technical solutions. * **Lifecycle Management (MLOps):** Deploy, monitor, and maintain models in production, ensuring performance, cost, and user experience optimization. * **Standardization:** Document technical solutions and establish best practices for development and architecture. **What We Offer:** * Permanent employment contract. * Working hours: Monday to Thursday 08:00 \- 09:00 to 17:00 \- 18:00; Fridays and summer: 08:00 to 15:00 * 100% remote work mode * Professional development * Job stability. * Salary: Open \+ access to flexible compensation. REQUIREMENTS * **Experience:** Minimum 4 years of software development experience, with specialization in production-oriented AI applications. * **Programming:** Solid proficiency in Python and advanced usage of Git (adherence to development best practices). * **Generative AI:** Practical knowledge of LLMs, embeddings, and prompt engineering, plus foundational Machine Learning. * **Tools and Ecosystem:** Demonstrable experience integrating models via LangChain, OpenAI API, and Azure AI. * **MLOps:** Knowledge of CI/CD, model monitoring, and versioning. * **Data and Infrastructure:** Experience with vector databases and familiarity with MCP servers. * **Cloud:** Technical experience in Azure, AWS, or GCP environments.