AI Engineer

Acolad is the global leader in content and language solutions. Its mission is to support companies in every industry to scale across markets and enable growth through cutting-edge technology and localization expertise. Established in 1995, the group is present in 22 countries across Europe, North America and Asia, with over 1.600 employees supported by a network of +10.000 linguists around the world.

At Acolad, every position is key to our global growth: we know that we will only succeed if our people succeed.

Joining Acolad means a unique opportunity for professional development through a collaborative global environment that promotes talent and creativity. We are continuously looking for new talent (like you!) to support our mission to drive growth and innovation across some of the world’s leading brands.

Check out Our brand video to learn more about us!

About The Role

Acolad is seeking a dynamic AI Engineer with strong experience in deploying machine learning (ML) and deep learning (DL) models into production. In this role, you will be responsible for transforming 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. The role requires deep expertise in Python, cloud infrastructure (AWS, GCP, or Azure), and hands-on experience with Large Language Models (LLMs).

Key Responsibilities

• Ensure scalability, performance, and reliability when moving models from experimental stages into production environments.
• Design, build, and maintain AI applications leveraging Large Language Models, using an experimentation-driven approach to unlock new capabilities.
• Utilize vector databases to improve retrieval performance and streamline AI workflows.
• Work closely with data scientists and product teams to integrate AI models into business operations through rapid experimentation and proof-of-concepts (PoCs).
• Build and maintain CI/CD pipelines for AI models, including monitoring, feedback loops, and continuous improvement.
• Convert experimental models into production-grade applications using software engineering best practices, cloud architecture, and feedback mechanisms.
  
  

Requirements

• Proven experience deploying ML/DL models into production at scale.
• Hands-on experience building AI-driven applications and services from experimental models to practical solutions.
• Strong understanding of LLM experimentation, deployment, and productionization.
• Knowledge of vector databases to enhance retrieval and AI system performance.
• Advanced Python skills and experience with cloud platforms such as AWS, GCP, or Azure.
• Ability to design, test, and iterate AI and LLM solutions using both lean experimentation and structured workflows.
• Familiarity with MLOps pipelines, monitoring, optimization, and continuous feedback integration.
• Comfort working in fast-paced environments with agility and continuous improvement.
  
  

Benefits

• Remote (in Portugal)
• Private Health Insurance
• Lunch Allowance (in Coverflex card)
• 22 Vacation Days + Seniority Days
• Birthday Leave
  
  

Acolad is committed to creating a diverse and equitable workforce. We believe that diversity, equity, and inclusion in all its forms—gender, age, disability, marital status, ethnic or social origin, religion, belief, or sexual orientation—enrich the workplace. It opens opportunities for individuals to express their talents, both individually and collectively, and strengthens our ability to adapt to a changing world. As an equal opportunity employer, we welcome and consider applications from all qualified candidates, regardless of their backgrounds.