AI/ML Engineer: LLM Workflows & GenAI Systems

Wizeline; La Coruña; Presencial; EUR 55.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Commitment to Professional Development

Flexible and Collaborative Culture

Total Rewards

Descripción de la vacante

Wizeline is seeking an experienced ML/Data Engineer to join a global AI-native team, focusing on building and deploying scalable ML solutions, LLM workflows, and prompt management on cloud platforms.

You will collaborate with data scientists and engineers, implement evaluation pipelines, and extend internal AI tooling leveraging LangChain and related ecosystems. The role emphasizes performance, observability, and cutting-edge GenAI practices.

Formación

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or 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.

Responsabilidades

• 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 to extend 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 LangChain ecosystem (LangGraph, LangSmith) to support prompt management, evaluation, and agent orchestration across the team.

Conocimientos

Python

LLM deployment

Multi-agent systems

Evaluation pipelines

LangChain

NLP

Git

Cloud platforms

AI tooling

Educación

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

Herramientas

Docker

Git

AWS

GCP

Descripción del empleo

Wizeline is seeking an experienced ML/Data Engineer to join a global AI-native team, focusing on building and deploying scalable ML solutions, LLM workflows, and prompt management on cloud platforms.

You will collaborate with data scientists and engineers, implement evaluation pipelines, and extend internal AI tooling leveraging LangChain and related ecosystems. The role emphasizes performance, observability, and cutting-edge GenAI practices.