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:

Must-have Skills:

• Strong fundamentals in Software Engineering, with the ability to build secure, scalable, production-grade systems.

• 4+ years of experience in Machine Learning Engineering or Data Engineering roles.

• Strong programming skills in Python (or another ML-focused high-level language).

• Experience designing and deploying Large Language Model (LLM)-powered applications in production environments.

• Hands-on experience architecting multi-agent systems, including tool-calling and long-term memory strategies to solve complex, non-linear problems.

• Experience implementing automated evaluation pipelines (e.g., LLM-as-a-judge).

• Familiarity with optimized vector storage and indexing systems for NLP applications.

• Experience building and maintaining high-volume data processing pipelines (structured and unstructured data).

• Familiarity with cloud infrastructure (AWS and/or GCP), Docker, and Git.

• Experience integrating internal and third-party AI APIs in a reliable and secure manner.

• Hands-on experience with the LangChain ecosystem (e.g., LangGraph, LangSmith) for prompt management, evaluation, and agent orchestration.

• Strong collaboration skills to work cross-functionally with data scientists, ML engineers, and product teams.

• Clear and effective communication skills.

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related STEM field (or equivalent practical experience).

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.