WIZELINE

SeniorAIEngineer

$120000–180000k ~AI est. Colombia Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior AI Engineer at WIZELINE”

Full 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 Deep knowledge of AI and ML frameworks, with a focus on NLP, predictive modeling, data analysis, and generative AI. Design, build, and deploy advanced Machine Learning and Generative AI solutions on AWS Bedrock, with emphasis on Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and large-scale search. Integrate and optimize foundation models on AWS Bedrock for enterprise use cases, ensuring scalability, security, and compliance in dedicated AWS environments. Collaborate with data scientists, data engineers, and product teams to transform complex problems into cloud-native, production-ready AI solutions on AWS. Run experiments, explore novel algorithms, and leverage AWS Generative AI and Bedrock capabilities to maximize performance, user experience, and business outcomes. Ensure the adoption of ethical and responsible AI practices across all solutions. Must-have Skills 5+ years of hands-on experience in AI/ML development and deployment. Strong expertise in Generative AI, LLMs, AI Agents, and RAG architectures. Proven experience designing and deploying solutions on AWS Bedrock. Strong programming skills in Python Experience in cloud-native architectures and enterprise-scale solutions. Familiarity with data pipelines, vector databases, and large-scale search systems. Demonstrated ability to collaborate with cross-functional teams (scientists, engineers, product managers). Commitment to responsible and ethical AI pr

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