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
We are seeking a highly skilled AI Data Engineer with a strong focus on LLM-driven applications and production-grade AI systems. This role is designed for a professional who excels at transforming experimental AI models into scalable, reliable, and impactful solutions in production.
You will play a key role in building AI-native products, with a particular emphasis on Large Language Models (LLMs), retrieval-augmented generation (RAG), and intelligent automation. Working at the intersection of AI, software engineering, and data platforms, you will drive the development of cutting-edge solutions that deliver measurable business value.
This position requires hands-on expertise in Python, cloud environments (GCP/AWS), and end-to-end AI system deployment, combined with a strong experimentation mindset to iterate quickly and effectively.
Key Responsibilities
- Build and deploy LLM-powered applications and RAG pipelines.
- Develope AI/ML models with scalability, reliability, and performance in mind.
- Develop and optimize retrieval systems using vector databases.
- Run rapid experiments, PoCs, and iterations to validate AI use cases.
- Design and maintain AI data pipelines and workflows.
- Deploy AI solutions on cloud platforms (GCP/AWS) using modern infrastructure practices.
- Develop APIs and backend services to integrate AI into products.
- Implement CI/CD and monitoring for continuous improvement of AI systems.
- Collaborate with data, product, and engineering teams to deliver AI-driven features.
- Ensure data quality and observability across AI systems.
Requirements
- More than 3 years of experience across AI engineering, data science, or data engineering roles.
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Degree in Engineering, Computer Science, Data Science, or a related field.
- Proven track record of deploying ML/AI models into production environments.
- Experience building end-to-end AI solutions, from experimentation and prototyping to scalable applications
- Exposure to real-world AI use cases, such as recommendation systems, forecasting, or intelligent automation.
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Strong problem-solving and analytical thinking, with a pragmatic approach to AI development.
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Ability to work in fast-paced, experimentation-driven environments.
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Excellent communication and collaboration skills across technical and non-technical teams.
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Curiosity and adaptability, with a strong drive to stay up to date with emerging AI technologies.
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.