We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a integral community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve Are you a fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role: Key Responsibilities - Design, build, and deploy production-ready AI agents that solve real-world business challenges across multiple industries. - Own the complete Agent Development Lifecycle (ADLC), from discovery and proof of value through production deployment and continuous optimization. - Collaborate directly with enterprise customers to understand business problems, translate them into technical solutions, and deliver measurable outcomes. - Build scalable, maintainable, and high-performance full-stack applications that integrate modern AI capabilities. - Develop reusable frameworks, tooling, and best practices for implementing AI agents. - Partner with Product, Engineering, and AI teams to influence platform capabilities based on customer needs. - Experiment with emerging AI technologies and rapidly evaluate new models, frameworks, and architectures. - Drive technical discussions with both engineering teams and executive stakeholders. Must-have Skills - 5+ years of Strong Software Engineering fundamentals, including system design, scalability, algorithms,



and design patterns. - Extensive experience building and deploying production software. - Deep hands-on experience with TypeScript and React. - Ability to quickly adapt across different full-stack technologies and architectures. - Experience designing scalable APIs and distributed systems. - Proven ability to own projects end-to-end - Hands-on experience building applications powered by Large Language Models (LLMs). - Strong understanding of agentic architectures, including concepts such as: - Experience integrating AI capabilities into production environments rather than experimentation alone. - Familiarity with modern AI tooling and orchestration frameworks. - Comfortable working directly with customers to understand business needs. - Ability to translate ambiguous business requirements into scalable technical solutions. - Excellent communication skills with both technical and non-technical stakeholders. - Strong ownership mindset and bias toward execution. Nice-to-have: - AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. What we offer: - A High-Impact Environment - Commitment to Professional Development - Flexible and Collaborative Culture - Global Opportunities - Vibrant Community - Total Rewards *Specific benefits are determined by the employment type and location. Find out more about our culture here.

📌 Generative AI Engineer (Pontevedra)
🏢 Wizeline
📍 Pontevedra