AI Engineer — LLMs, LangChain & Agent Orchestration

Wizeline; España; Presencial; EUR 70.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional Development

Flexible culture

Total Rewards

Descripción de la vacante

Wizeline, a global AI-native technology solutions provider, seeks a senior ML engineer in Spain to drive LLM orchestration and AI-powered workflows. You will collaborate with data scientists and engineers to deploy, evaluate, and improve AI systems at scale.

You will build data pipelines, integrate AI APIs, and extend LangGraph/LangSmith for prompt management and agent orchestration across teams, leveraging cloud infrastructure and modern ML tooling.

Formación

• Bachelor's or Master's degree in CS, Engineering, Data Science, or related field.
• 4+ years in ML engineering or data engineering.
• Strong Python programming skills.
• Experience deploying LLMs and building automated evaluation pipelines.

Responsabilidades

• Collaborate with data scientists and engineers to orchestrate LLMs and AI workflows.
• Implement optimized vector storage and indexing for NLP.
• Develop tools for prompt management, automated evaluations, and observability.
• Monitor and improve ML systems performance for accuracy and efficiency.
• Build data processing pipelines for large volumes of structured and unstructured data.
• Integrate third‑party AI APIs to extend system functionality.
• Stay updated on GenAI, NLP, ML and IR best practices, leveraging cloud infrastructure.
• Extend LangGraph/LangSmith to support prompt management and agent orchestration.

Conocimientos

Python

LLM deployment

Multi-agent systems

Tool-calling

Long-term memory

Prompt management

Educación

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

Herramientas

LangChain

Docker

Git

AWS

GCP

Descripción del empleo

Wizeline, a global AI-native technology solutions provider, seeks a senior ML engineer in Spain to drive LLM orchestration and AI-powered workflows. You will collaborate with data scientists and engineers to deploy, evaluate, and improve AI systems at scale.

You will build data pipelines, integrate AI APIs, and extend LangGraph/LangSmith for prompt management and agent orchestration across teams, leveraging cloud infrastructure and modern ML tooling.