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Urgent! Senior AI Engineer Job Opening In Colombia, Colombia – Now Hiring Wizeline

Senior AI Engineer



Job description

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.


Required Skill Profession

Other General



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