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 general 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.

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

📌 Senior ML/AI Engineer (Barcelona)
🏢 Wizeline
📍 Barcelona