Ai Engineer - Wizeline

Wizeline; Vitoria; Presencial; EUR 55.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Ambiente de alto impacto

Desarrollo profesional

Cultura flexible y colaborativa

Oportunidades globales

Comunidad vibrante

Recompensas totales

Descripción de la vacante

Wizeline, proveedor global de soluciones tecnológicas con enfoque en IA, busca Ingeniero/a de ML con experiencia para diseñar, desplegar y optimizar flujos de IA, LLMs y herramientas. Trabajarás con equipos de datos e ingeniería para gestionar pipelines y orquestar agentes, utilizando LangChain y APIs.

Se valorará experiencia en infra de nube, Docker y Git; desarrollo de soluciones escalables y mantenibles y capacidad para resolver problemas complejos de NLP y ML en un entorno colaborativo.

Formación

• Título universitario en Computer Science, Ingeniería, Data Science o campo relacionado.
• 4+ años de experiencia en roles de machine learning engineering o data engineering.
• Habilidades de programación en Python u otros lenguajes de alto nivel usados en ML.
• Experiencia desplegando LLMs, pipelines de evaluación y arquitecturas multiagente con llamadas a herramientas y memoria a largo plazo.

Responsabilidades

• Colaborar con data scientists e ingenieros para orquestar LLMs y herramientas en flujos complejos de IA.
• Implementar almacenamiento e indexación de vectores para NLP.
• Desarrollar herramientas y marcos para gestión de prompts, evaluaciones automatizadas y observabilidad.
• Monitorear y mejorar el rendimiento de sistemas basados en IA para precisión y eficiencia.
• Dar soporte, solucionar problemas e implementar actualizaciones de soluciones ML.
• Construir y mantener pipelines de procesamiento de datos para grandes volúmenes de datos estructurados y no estructurados.
• Integrar APIs de IA de terceros para ampliar funcionalidades de sistemas.
• Mantenerse al día con GenAI, NLP, ML e IR, aprovechando infra de nube para eficiencia.
• Construir y ampliar productos internos sobre LangChain (LangGraph, LangSmith) para gestionar prompts y orquestación de agentes.

Conocimientos

Python

ML engineering

Data processing

Educación

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

Herramientas

Docker

Git

AWS

GCP

Descripción del empleo

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 global 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 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 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.