AI Engineer: LLMs, NLP Pipelines & GenAI Tools

Wizeline; Tarragona; Presencial; EUR 55.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional development

Flexible work culture

Total rewards

Descripción de la vacante

Wizeline, a global AI-native technology solutions provider in Spain, seeks a senior ML/Data engineer to design and deploy AI workflows, collaborating with data scientists and engineers to orchestrate LLMs and tools into scalable pipelines.

You will optimize vector storage, develop prompt-management frameworks, and build evaluation pipelines while advancing agent-based systems and long-term memory to solve complex problems.

Formación

• Bachelor's or Master's degree in a STEM field or equivalent experience.
• 4+ years in a machine learning or data engineering role.
• Strong programming skills in Python or similar high-level language.

Responsabilidades

• Collaborate with data scientists and engineers to orchestrate LLMs and tools into AI workflows.
• Implement optimized vector storage and indexing systems for NLP.
• Develop tools/frameworks for prompt management, evaluation, 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 data.
• Integrate third-party AI APIs to extend system functionality.
• Stay updated on GenAI, NLP, ML, and IR technologies and leverage cloud infra.

Conocimientos

Python

LLM deployment

Data engineering

NLP

Tool-calling

LangChain

Educación

Bachelor's or Master's in CS/Engineering/Data Science

Herramientas

Docker

Git

AWS

GCP

Descripción del empleo

Wizeline, a global AI-native technology solutions provider in Spain, seeks a senior ML/Data engineer to design and deploy AI workflows, collaborating with data scientists and engineers to orchestrate LLMs and tools into scalable pipelines.

You will optimize vector storage, develop prompt-management frameworks, and build evaluation pipelines while advancing agent-based systems and long-term memory to solve complex problems.