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.