Senior 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**

- 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 practices.

***Nice-to-Have Skills***

- 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 with LangChain, llama-index, or similar orchestration frameworks for RAG/LLM pipelines.

- Knowledge of multi-cloud or hybrid cloud environments.

- Exposure to MLOps best practices (CI/CD for ML, monitoring, observability).

- Familiarity with security and compliance frameworks in regulated industries

- Advanced degree (MSc/PhD) in Computer Science, Machine Learning, or related field.

**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.