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 integral 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 achieveAre you a fit?Sounds awesome, right? Now, let's make sure you're a good fit for the role:Key Responsibilities- Collaborate with data scientists and engineers to orchestrate LLMs and tools into complex AI workflows.- Implement optimized vector storage and indexing systems for NLP.- Develop tools and frameworks for prompt management, automated evaluations, and observability.- Monitor and improve agentic systems performance for accuracy and efficiency.- Provide ongoing support, troubleshoot issues, and implement updates for ML solutions- Build and maintain data processing pipelines for high volumes of structured and unstructured data.- Integrate third-party AI APIs (internal and external) to extend the functionality of systems.- Stay updated on GenAI, NLP, ML, and IR technologies, incorporating best practices and leveraging cloud infrastructure for efficiency.- Build and extend internal products on top of the LangChain ecosystem (LangGraph, LangSmith) to support prompt management, evaluation,



and agent orchestration across the team.Must-have Skills:- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field or equivalent work experience.- 4+ years of industrial experience in a machine learning engineering or data engineering role.- Strong programming skills in Python and/or another high-level language commonly used in machine learning.- Experience deploying LLMs, implementing automated evaluation pipelines (LLM-as-a-judge), and architecting multi-agent systems that utilize tool-calling and long-term memory to solve non-linear problems.Nice-to-have:- 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.- Familiarity with cloud-based infrastructure and services (e.g., AWS and GCP), Docker, and the Git version control system- Familiarity with consuming and integrating APIs in a reliable and secure manner.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.

📌 AI Engineer (Pontevedra)
🏢 Wizeline
📍 Pontevedra