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.
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