NLP & LLM AI Engineer for Data-Driven Solutions

Altia

Sevilla

On-site

EUR 55,000 - 90,000

Full time

11 hours ago
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Benefits offered by this job

High‑impact project
Collaborative work environment
Career Plan
Training Plan
Flexible Remuneration

Job summary

Altia, a Spain-based digital transformation company, seeks an AI/ML Engineer to design and maintain AI/ML solutions with emphasis on NLP, LLMs, agentic AI, and data-driven applications within an international project for public sector use cases.

You will work across AI, data engineering, cloud platforms, and MLOps, delivering scalable services, REST integrations, and governance-compliant solutions while collaborating with cross-functional teams.

Responsibilities

  • Design, develop, and maintain AI/ML solutions with focus on NLP, LLMs, RAG and agentic AI.
  • Develop AI services and AI-based applications using modern agentic AI frameworks.
  • Support data ingestion, quality, governance and lifecycle management across SQL/NoSQL/Big Data/Data Lakes environments.
  • Implement AI/ML solutions on cloud platforms and integrate models into scalable enterprise environments.
  • Apply MLOps practices including experiment tracking, deployment, monitoring, and governance.
  • Develop REST services and integrate AI capabilities into existing applications and processes.

Skills

NLP & ML domain knowledge
Analytical thinking
Collaborative work

Tools

Python
R
Pandas
Scikit-learn
TensorFlow
PyTorch
SpaCy
NLTK
LangChain
LlamaIndex
Semantic Kernel
AWS Bedrock
SageMaker
Azure AI Studio
Azure ML
SQL
NoSQL
Data Lakes
REST APIs
MLflow
Kubeflow

Job description

Altia, a Spain-based digital transformation company, seeks an AI/ML Engineer to design and maintain AI/ML solutions with emphasis on NLP, LLMs, agentic AI, and data-driven applications within an international project for public sector use cases.

You will work across AI, data engineering, cloud platforms, and MLOps, delivering scalable services, REST integrations, and governance-compliant solutions while collaborating with cross-functional teams.

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