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: Key Responsibilities

Para una comprensión completa de esta oportunidad y de lo que se requerirá para ser un candidato exitoso, siga leyendo.

- 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. xqbhyrx

What we offer:

- A High-Impact Environment
- Commitment to Professional Development
- Adaptable 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 (Granadilla)
🏢 Wizeline
📍 Granadilla