Impactful AI/ML Engineer for Public Sector NLP & LLMs

Altia; Barcelona; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

High-impact project

Collaborative work environment

Career Plan

Training Plan

Flexible Remuneration

Job summary

Altia is seeking an AI/ML Engineer to design, develop, and maintain AI/ML solutions with a strong emphasis on NLP, LLMs, agentic AI, and data-driven applications. You will contribute to an international project supporting European institutions and agencies, building AI services, intelligent agents, and data-driven solutions.

The role involves data ingestion, governance, cloud platforms, MLOps, and integration of AI capabilities into existing systems, using Python-based architectures and modern

Qualifications

• Experience designing, developing, and maintaining AI/ML solutions.
• Proficiency in NLP, LLMs, and retrieval-augmented generation (RAG).
• Knowledge of data ingestion, preparation, quality, governance, and lifecycle management.

Responsibilities

• Design, develop, and maintain AI/ML solutions with a focus on NLP, LLMs, and RAG.
• Develop AI services, intelligent agents, and LLM-based applications using agentic AI frameworks.
• Integrate AI capabilities into existing applications via REST services and collaborate with stakeholders.
• Apply MLOps practices across the model lifecycle including monitoring, explainability, and governance.

Skills

NLP

ML

Agentic AI

Model evaluation

Tools

Python

R

Pandas

Scikit-learn

TensorFlow

PyTorch

SpaCy

NLTK

LangChain

LlamaIndex

Semantic Kernel

AWS Bedrock

SageMaker

Azure AI Studio

Azure ML

SQL

NoSQL

Big Data

Data Lake

REST APIs

MLflow

Kubeflow

Containers

AI governance

Job description

Altia is seeking an AI/ML Engineer to design, develop, and maintain AI/ML solutions with a strong emphasis on NLP, LLMs, agentic AI, and data-driven applications. You will contribute to an international project supporting European institutions and agencies, building AI services, intelligent agents, and data-driven solutions.

The role involves data ingestion, governance, cloud platforms, MLOps, and integration of AI capabilities into existing systems, using Python-based architectures and modern