Production AI Engineer - LLMs, Vector DBs, Remote Portugal

Acolad group; Algés; Presencial; EUR 50 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote (in Portugal)

Private Health Insurance

Lunch Allowance (in Coverflex card)

22 Vacation Days + Seniority Days

Birthday Leave

Resumo da oferta

Acolad is seeking a dynamic AI Engineer with strong experience in deploying ML and DL models into production. You will transform AI models into production-ready applications, with a strong emphasis on LLM-native development, vector databases, and AI-driven products and services.

You will work closely with data science and product teams, enabling rapid experimentation, iteration, and the delivery of scalable AI solutions.

Qualificações

• Proven experience deploying ML/DL models into production.
• Hands-on AI applications from experiments to practical solutions.
• Strong understanding of LLM experimentation and productionization.

Responsabilidades

• Move ML/DL models from experiments to scalable production environments.
• Design and maintain AI applications leveraging LLMs and vector databases.
• Collaborate with data science and product teams to enable rapid experimentation.
• Build and maintain CI/CD pipelines for AI models and monitor feedback loops.
• Transform experimental models into production-grade applications with best practices.
• Apply cloud architecture and software engineering practices to AI deployments.

Conhecimentos

ML deployment

DL deployment

LLM experimentation

Vector databases

Python

Cloud platforms (AWS/GCP/Azure)

MLOps

CI/CD for ML

Productionization

Agile / fast-paced

Descrição da oferta de emprego

Acolad is seeking a dynamic AI Engineer with strong experience in deploying ML and DL models into production. You will transform AI models into production-ready applications, with a strong emphasis on LLM-native development, vector databases, and AI-driven products and services.

You will work closely with data science and product teams, enabling rapid experimentation, iteration, and the delivery of scalable AI solutions.