Generative AI Engineer

We are:

¿Interesado en saber más sobre este trabajo? Desplácese hacia abajo y descubra qué habilidades, experiencia y cualificaciones académicas se necesitan.

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

• 
  
• 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. xghoner

Find out more about our culture here.

#J-18808-Ljbffr