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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Hybrid_AI Software Engineer - **Company:** Descripción De La Oferta - **Location:** Madrid, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Applications Architecture, Microsoft Azure, Software as a Service, Cloud Computing, Software Quality, Databases, Computer Engineering, Information Engineering, Relational Databases, Python (Programming Language), Microsoft SQL Server, MongoDB, Oracle (Applications), Svelte, Software Engineering, Systems Integration, TypeScript, Google Cloud, Test-Driven Development (TDD), ReactJS, Retrieval-Augmented Generation, Large Language Models, Generative AI, Backend, Agentic-AI, Containerization, AngularJS, Kubernetes, Information Technology, Milvus, Front End Software Development, Restful APIs, Domain Driven Design, Serverless Computing, Vectorization, Docker - **Published:** November 14, 2026 - **Apply:** https://ingenierojob.com/oferta/hybrid-ai-software-engineer_madrid_38307 ## About the Role * Demonstrated professional software engineering experience building SaaS applications with scalable backend services and modern frontends. * Experience integrating LLMs / Generative AI in cloud-based applications. * Experience building Agentic AI systems that automate real-world workflows and integrate with APIs/tools/services. * Strong proficiency in Python. * Strong experience with REST API design and implementation. * Experience with Development Frameworks that include Svelte (preferred), React, Angular, TypeScript. * Cloud experience with Microsoft Azure and Google Cloud Platform (GCP). * Database experience with MongoDB, vector database Milvus, plus one or more relational databases (MS SQL, Oracle). * Experience with Docker/containerization, and Kubernetes based container orchestration. * Experience in contributing to application architecture and design. * Experience in data modeling, domain-driven design, and test-driven development. * Experience in Agile methodologies and Azure CI/CD automation. Soft skills: * Strategic: You always ask "why" and "how" and "is this best for the customer and the company" * Leadership oriented: you realize you are part of a larger team and success is based off direct and indirect influence. * Relationship oriented: you enjoy building long term relationships with coworkers, customers, partners. Global Job Description *Driven: you want to win and have a "get stuff done" attitude in everything you do. * Fun: sense of humor is a requirement. * Flexibility: you are comfortable working on a diverse team for a global company and in a fast-paced environment; you are adaptive and flexible and can work with other cultures; you are willing to accommodate other time zones as needed. * Strategic: you are a quick thinker and problem solver. * Highly collaborative: strong communication skills - you succeed or fail as a team. Education and Qualifications / Skills and Competencies: Education Level (Degree, Area of Study) - Minimum Requirement: B.S. in Computer Science, Computer Engineering or equivalent Languages English: Advanced professional proficiency required (CEFR C1 or higher), with strong written and verbal communication skills. Years of Experience (if applicable): 5+ years of experience in software development Professional Certifications: Microsoft Certified: Azure Developer Associate (Preferred) Skills and Competencies: * Ability to develop, implement and deliver enterprise-grade systems, products, and services. * Excellent verbal and written communication skills. * Strong project management and organizational skills. * Strong attention to detail and excellent troubleshooting skills. * Understanding and knowledge of Agile methodologies. * Demonstrated ability to build consensus among many stakeholders. * Comfortable with ambiguity and willing to take principled bets to reach a desired end state. Work model Work location This role follows a hybrid work model, combining on-site presence at our Madrid office (San Sebastián de los Reyes) with remote working. On-site attendance may be up to 50% of total working time monthly. Working time: This role follows a flexible working schedule, with standard working hours from 9:00 a.m. to 5:00 p.m. (CET). Flexibility is expected to accommodate collaboration with U.S.-based teams, which may occasionally require adjusting working hours to 11:00 a.m.-7:00 p.m. or 12:00 p.m.-8:00 p.m. (Spanish time), as agreed with the manager and based on business needs. ## Description General Job Function: The role is for a highly skilled and innovative Full-Stack Senior AI Software Engineer to join our engineering team. In this role, you will be at the forefront of designing, building, and scaling advanced Enterprise AI solutions within a robust SaaS architecture. The ideal candidate bridges the gap between traditional full-stack software development and cutting-edge artificial intelligence. You will leverage your expertise in modern front-end frameworks, robust back-end engineering, cloud infrastructure, and state-of-the-art AI-including Large Language Models (LLMs), Agentic AI, and vectorization. You will collaborate closely with engineering, product, and data teams to deliver end-to-end; high-impact intelligent, secure, and compliant systems deployed across Microsoft Azure and Google Cloud Platform (GCP). Duties and Responsibilities (by order of priority): * Design, develop, implement, support, and maintain applications based on business requirements, using approved technologies and coding standards. * Design, develop, implement, support, and maintain software components and systems to adhere to and satisfy engineering, scientific, regulatory, and manufacturing requirements. * Design and develop Agentic AI applications that automate multi-step workflows and solve real-world operational challenges (e.g., systems that interpret context, plan actions, call tools/services, and complete tasks end-to-end). * Apply secure coding practices to prevent security vulnerabilities in code and contribute to enterprise standards that enable safe, scalable Agentic AI adoption. * Integrate LLMs into SaaS applications via secure, robust service layers and APIs, including orchestration, evaluation, and implement modern GenAI patterns such as RAG (Retrieval-Augmented Generation) * Design and implement scalable backend services in Python and REST APIs that support AI/agent capabilities and product workflows. * Partner with UX/design and product stakeholders to deliver intuitive AI/agent user experiences for enterprise users. * Build, deploy, and operate cloud-native services in Microsoft Azure and Google Cloud Platform (GCP) * Collaborate with data engineering teams to ensure data quality, governance alignment, and performance for AI/agent use cases. * Containerize services using Docker and support CI/CD pipelines for reliable delivery. * Provide technical leadership as a senior individual contributor driving architecture, code quality, engineering best practices, and mentor team members.