Generative AI Engineer

**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 and develop AI Proofs of Concept (PoCs) to explore new business capabilities and validate use cases.

- Iterate on prototypes to evolve them into scalable, production-ready solutions.

- Implement and optimize Multi-Component Pipelines (MCPs) and intelligent agents using AWS Bedrock and other cloud services.

- Collaborate closely with product, data, and machine learning teams to identify opportunities and drive projects from experimental stages to real-world deployment.

- Ensure the quality, security, and scalability of solutions prior to adoption.

- Document and standardize AI architecture patterns for reuse across teams and projects.

***Must-have Skills:***

- Strong experience with AWS services, particularly AWS Bedrock.

- Deep understanding of Multi-Component Pipelines (MCPs) and AI Agents.

- Proficiency in Python for developing AI applications and prototypes.

- Experience with Java in the context of building and managing MCPs.

- Ability to work on fast-paced PoCs and evolve them into scalable, production-ready implementations.

***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.

- Experience in MLOps, including CI/CD for ML workflows, monitoring, automated retraining, and deployment.

- Hands-on experience applying Machine Learning in production environments.

- Contribution to scalable architectures for generative AI and autonomous agents

**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.

Beneficios ofrecidos por la empresa, según su política interna.