Remote AI Engineer for Scalable LLM & Real-Time Systems

Jobgether; Portugal; Teletrabalho; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote-first

High autonomy

Resumo da oferta

Jobgether, on behalf of a partner company, is seeking an AI Engineer (Remote, International) based in Portugal. You will design and deploy AI-driven components, focusing on LLM-powered systems, data retrieval, embeddings, and conversational interfaces.

In a high-performance AdTech environment, you will work with distributed systems, experiment with new models, and contribute to the technical vision while maintaining production-grade, scalable solutions.

Qualificações

• Strong Python programming with NumPy and Pandas.
• Solid SQL and relational data systems knowledge.
• Hands-on with AI/ML, LLM inference, embeddings, vector databases, or ranking models.
• Experience with distributed systems or containerized environments (Kubernetes a plus).
• Strong analytical and problem-solving skills.
• Proactive, ownership-driven mindset.

Responsabilidades

• Design, build, and maintain LLM-powered AI components.
• Develop systems spanning data retrieval, embeddings, conversational interfaces, and automation workflows.
• Experiment with and evaluate new AI models, frameworks, and architectures.
• Improve underlying data infrastructure to support scalable LLM usage.
• Collaborate with engineers, analysts, and product stakeholders to identify AI use cases.
• Contribute to the technical vision of generative AI systems in a high-scale AdTech environment.
• Support production-grade systems with high throughput and low latency.

Conhecimentos

Python

NumPy

Pandas

SQL

LLM inference

Embeddings

Vector databases

Ranking models

Kubernetes

Distributed systems

Ferramentas

Kubernetes

Descrição da oferta de emprego

Jobgether, on behalf of a partner company, is seeking an AI Engineer (Remote, International) based in Portugal. You will design and deploy AI-driven components, focusing on LLM-powered systems, data retrieval, embeddings, and conversational interfaces.

In a high-performance AdTech environment, you will work with distributed systems, experiment with new models, and contribute to the technical vision while maintaining production-grade, scalable solutions.