AI/ML Engineer – NLP, LLMs & Agentic AI

Altia; Murcia; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Benefits dieser Stelle

Career Plan

Training Plan

Flexible Remuneration

Zusammenfassung

Altia is seeking an AI/ML Engineer to design, develop, and maintain AI and ML solutions focused on NLP, LLMs, and data-driven services. You will contribute to an international project supporting European institutions, building intelligent solutions, data pipelines, and AI-enabled services across public-sector use cases.

The role involves modern frameworks, agentic AI, and cloud platforms, emphasizing responsible AI, governance, and scalable integrations with existing systems.

Qualifikationen

• Design and implement ML solutions with NLP, LLMs, and RAG.
• Develop AI services, intelligent agents, and LLM-based apps.
• Support data ingestion, quality and lifecycle across data platforms.
• Build scalable AI solutions on cloud platforms with MLOps practices.

Aufgaben

• Design, develop, and maintain ML systems with NLP and LLM focus.
• Create AI services and agents using modern agentic AI frameworks.
• Manage data ingestion, quality, governance and lifecycle across SQL/NoSQL/big data.
• Integrate models into enterprise apps via REST services.
• Apply MLOps practices including experiment tracking, deployment, monitoring.
• Ensure compliance with data protection and AI governance requirements.

Kenntnisse

Python

R

Pandas

Scikit-learn

TensorFlow

PyTorch

SpaCy

NLTK

NLP

LLMs

RAG

Agentic AI

REST APIs

MLOps

CI/CD

Observability

Bias mitigation

LangChain

LlamaIndex

Semantic Kernel

AWS Bedrock

SageMaker

Azure AI Studio

Azure ML

Tools

LangChain

LlamaIndex

Semantic Kernel

MLflow

Kubeflow

AWS Bedrock

SageMaker

Azure AI Studio

Azure ML

REST APIs

Jobbeschreibung

Altia is seeking an AI/ML Engineer to design, develop, and maintain AI and ML solutions focused on NLP, LLMs, and data-driven services. You will contribute to an international project supporting European institutions, building intelligent solutions, data pipelines, and AI-enabled services across public-sector use cases.

The role involves modern frameworks, agentic AI, and cloud platforms, emphasizing responsible AI, governance, and scalable integrations with existing systems.