16 ago
|
Wizeline
|
Marzán
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
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 Integral 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 (Marzán)
🏢 Wizeline
📍 Marzán