Descripción del trabajo 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 achieve Are 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 Lang

Chain ecosystem (Lang

Graph, Lang

Smith) to support prompt management, evaluation,



and agent orchestration across the team.

Must-have Skills * Bachelors or Masters 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. #J-18808-Ljbffr

📌 Ai Engineer (España)
🏢 Wizeline
📍 España