AI/ML Engineer: NLP, LLMs & Agentic AI

Altia; Alicante; Presencial; EUR 55.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

High-impact project

Collaborative work environment

Career Plan

Training Plan

Flexible Remuneration

Descripción de la vacante

Altia in Spain seeks an AI/ML Engineer to design, develop, and maintain AI and ML solutions focusing on NLP, LLMs, agentic AI, and data-driven applications across public-sector use cases.

You will work on AI services, agentic AI frameworks, data ingestion, cloud platforms, and MLOps to ensure scalable, governance-compliant deployments; collaborate with stakeholders and contribute to an international project supporting European institutions.

Formación

• Strong experience designing and deploying NLP/LLM solutions.
• Familiar with Retrieval-Augmented Generation (RAG) architectures.
• Experience with data ingestion, governance, and data lake environments.
• Cloud-based AI platforms and enterprise deployments.
• Ability to collaborate with cross-functional stakeholders across international projects.

Responsabilidades

• Design, develop, and maintain AI/ML solutions for NLP/LLMs and agentic AI.
• Develop AI services and agents using Python-based architectures.
• Integrate models into existing enterprise applications and processes.
• Apply MLOps practices including monitoring, experiment tracking, and deployment.
• Ensure compliance with data protection and AI governance requirements.

Conocimientos

NLP & LLMs

Python

ML & AI

MLOps

RAG

Agentic AI

Data Engineering

Cloud Platforms

REST APIs

Ethics & governance

Herramientas

LangChain

LlamaIndex

Semantic Kernel

AWS Bedrock

SageMaker

Azure ML

PyTorch

TensorFlow

SpaCy

NLTK

Pandas

Descripción del empleo

Altia in Spain seeks an AI/ML Engineer to design, develop, and maintain AI and ML solutions focusing on NLP, LLMs, agentic AI, and data-driven applications across public-sector use cases.

You will work on AI services, agentic AI frameworks, data ingestion, cloud platforms, and MLOps to ensure scalable, governance-compliant deployments; collaborate with stakeholders and contribute to an international project supporting European institutions.