AI Data Engineer

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.
• 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.
• Strong problem-solving and analytical thinking, with a pragmatic approach to AI development.
• Ability to work in fast-paced, experimentation-driven environments.
• Excellent communication and collaboration skills across technical and non-technical teams.
• 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