AI Engineer

• Experience developing Generative Artificial Intelligence solutions.
• Hands-on knowledge of platforms such as Azure AI Foundry, Amazon Bedrock, or equivalent ecosystems.
• Experience working with models such as Claude, GPT, Llama, Mistral, or other LLMs.
• Knowledge in the development of agents, skills, tools, and integrations for AI environments.
• Experience connecting data sources, APIs, and enterprise systems.
• Solid knowledge of Python and software development.
• Familiarity with RAG architectures, vector databases, and semantic search.
• Innovative mindset, technological curiosity, and a desire to continuously learn.

Languages: Professional level English.

📚 Continuous training and learning program. 

💻 Possibility of working remotely.

🕓 Flexible working hours.

📅 Every Friday with a split shift!

🏝️ In July and August, you will enjoy all afternoons off!

💳​ Flexible compensation.

🔃 Employee Discount Portal.

🎊 Company events. We like to have fun!

🎟️ You will be able to attend events organized by Microsoft.

🚀 We offer you a dynamic environment where your career plan and growth will be our goal.

💝 A great team of professionals with curiosity and motivation for technology.

At Prodware, we are in a period of strong growth 🚀 and we are looking for people like you to join our team.

Prodware España is the leading technological partner for the implementation of solutions based on Microsoft Dynamics 365, F&SCM, Power Platform, Customer Engagement, Business Central, M365, Data, Azure and in the development of AI-based solutions. With more than 30 years of experience offering technological consulting and digital transformation services to our clients, we have the most consolidated team in Spain.

As part of our global and Spanish growth, we are looking for an AI Engineer located in Spain to join the team.

• Design, develop, and implement solutions based on Generative AI and Agentic AI.
• Build intelligent agents using platforms such as Azure AI Foundry, Amazon Bedrock, and advanced large language models (LLMs).
• Create and evolve skills, tools, plugins, and custom capabilities for AI environments.
• Integrate agents with corporate systems, APIs, and different data sources.
• Design RAG (Retrieval Augmented Generation) architectures and semantic search strategies.
• Optimize the performance, scalability, and response quality of agents.
• Participate in the evaluation and adoption of new AI models and frameworks.
• Collaborate closely with development, cloud, data, and business teams to drive innovative solutions.
• Contribute to the evolution of enterprise AI platforms and intelligent automation.