Senior Full-Stack Software Engineer & AI

Wizeline·Spainsenior

In short

→Desarrollar plataformas digitales con IA integrada usando TypeScript y React.
→Trabajar en entornos ágiles con enfoque en optimizar procesos con herramientas de IA.
→Destacado: Se requiere experiencia práctica con LLMs y arquitecturas de agentes, no solo conocimiento teórico.

Full English proficiency

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What they ask for

✓Fundamentos sólidos en ingeniería de software.
✓Experiencia directa con TypeScript y React.
✓Capacidad comprobada para adaptarse a diferentes entornos full-stack.
✓Rendimiento alto en entornos dinámicos y de alta velocidad.
✓Adaptabilidad a prioridades cambiantes y trabajo en equipo autónomo.
✓Habilidades claras de comunicación en equipos multifuncionales.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

TypeScriptReactAI toolsLarge Language Models (LLMs)Agent architecturesProcess automationDraftingAnalysisResearchWorkflow streamlining

Who should you write to at Wizeline?

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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 global 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: Must-have Skills: • Strong fundamentals in Software Engineering. • Direct experience with TypeScript and React. • Proven ability to adapt across different full-stack environments. • Demonstrated high performance in fast-paced, dynamic environments. • Strong adaptability to shifting priorities and self-organizing teams. • Clear and effective communication skills across cross-functional teams. • Full English proficiency. • 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. • Hands-on experience with Large Language Models (LLMs). • Understanding of agent architectures and key components, including “agent iceberg” considerations when integrating LLMs. 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 .

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