**Job Requirements** **Brief Project Description:** **What does the project involve?** Specialized technical and functional support for Artificial Intelligence and Cloud services, with the dual objective of ensuring the proper development of various projects. AI system development and governance in Azure and AWS cloud environments **Is there a team involved?** Yes, another person. **Responsibilities** The contractor shall carry out the design, development, implementation, and evolutionary maintenance of the required solutions for Ineco's Artificial Intelligence projects, including: Design and development of Artificial Intelligence solutions deployed in AWS and Azure cloud environments. Development of virtual assistants and generative AI-based solutions. Design and implementation of RAG (Retrieval-Augmented Generation) architectures, including indexing, information retrieval, evaluation, and result optimization processes. Integration and consumption of foundational models and AI services via Azure OpenAI and Amazon Bedrock using Python. Development of automations and intelligent workflows. Creation of reusable components and replicable technological assets. Definition and implementation of observability and traceability mechanisms enabling storage, querying, and auditing of logs, events, and AI-generated responses. Design and maintenance of required data models. Design and supervision of ETL processes for data integration and exploitation. Specialized support for AI- and data-driven digital transformation initiatives. Technical and functional documentation of developed solutions, including necessary information for their operation, maintenance, and evolution by Ineco, as well as training materials for end users. **Work Experience** **Minimum and Mandatory Requirements** **Education** University degree, vocational training level 2 (FP2), or equivalent qualification in the field of computer science. **Additional Qualification 2** Complementary education is desirable: Master’s degree, specialization, or certifications in Artificial Intelligence, Data Science, Cloud Computing, or related disciplines. **Experience** At least 5 years of experience in designing, developing, and implementing software and Artificial Intelligence solutions, applying quality, maintainability, and scalability standards. **Minimum required: 5 years** E-4: At least 3 years of experience in developing and deploying solutions based on Microsoft Azure cloud services, including AI service integration. **Minimum required: 3 years** At least 3 years of experience in defining and implementing best practices for development, repository management, code review, and deployment automation in technology projects. **Minimum required: 3 years** At least 2 years of experience administering and managing Azure DevOps repositories containing Python code, including branching strategies, code reviews via Pull Requests, and collaborative work. **Minimum required: 2 years** At least 2 years of experience developing and integrating Generative Artificial Intelligence solutions, including RAG architectures and model consumption via APIs and cloud services in Azure (Azure OpenAI and Foundry), AWS cloud (Bedrock), and modeling using the Langchain / Langgraph / Langsmith ecosystem. **Minimum required: 2 years** **Desirable/Additional Requirements** Experience in designing, developing, and implementing software and Artificial Intelligence solutions, applying quality, maintainability, and scalability standards. **Desirable: 7 years** Experience in developing and deploying solutions based on Microsoft Azure cloud services, including AI service integration. **Desirable: 5 years** Experience in defining and implementing best practices for development, repository management, code review, and deployment automation in technology projects. **Desirable: 5 years** Experience in administering and managing Azure DevOps repositories containing Python code, including branching strategies, code reviews via Pull Requests, and collaborative work. **Desirable: 3 years** Experience in developing and integrating Generative Artificial Intelligence solutions, including RAG architectures and model consumption via APIs and cloud services in Azure (Azure OpenAI and Foundry), AWS cloud (Bedrock), and modeling using the Langchain / Langgraph / Langsmith ecosystem. **Desirable: 3 years** Experience in development based on Azure Fabric **Desirable: More than 1 year**
David Muñoz
Indeed · HR
David Muñoz
Indeed · HR
