AI Data Engineer
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Lisbon, Portugal"), this listing's salary midpoint is about 90% lower. The offer sits below the benchmark range (€9,260–€13,890). Range-width comparison is limited because one of the salary bands is incomplete. This benchmark is based on 3 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Lisbon, Portugal | €9,260/per month | €13,890/per month | €13,890/per month |
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.
Job Details
Responsibilities
- Build and deploy LLM-powered applications and RAG pipelines.
- Develop 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.
Skills & Technologies
Education Level
BachelorBenefits & Perks
| Location | Active listings |
|---|---|
| Remote - Global | 27 |
| Hudson, USA | 1 |
| Barcelona, Spain | 1 |
| Lisbon, Portugal | 1 |
| Vitoria-Gasteiz, Spain | 1 |
| Stockholm, Sweden | 1 |
| Bucharest, Romania | 1 |
| Sibiu, Romania | 1 |
| Leinfelden, Germany | 1 |
| Amstelveen, Netherlands | 1 |
| Berlin, Germany | 1 |
| Kraków, Poland | 1 |
| Bertrange, Luxembourg | 1 |
| Bologna, Italy | 1 |
| Bruxelles, Belgium | 1 |
| Augsburg, Germany | 1 |
| Madrid, Spain | 1 |
| Riga, Latvia | 1 |
| Montreal, Canada | 1 |
| Rimini, Italy | 1 |
| Boulogne, France | 1 |
| Dublin, Ireland | 1 |
| Grand-Lancy, Switzerland | 1 |
| Helsinki, Finland | 1 |
| Milan, Italy | 1 |
| Singapore, Singapore | 1 |
| Role type | Active listings |
|---|---|
| Business Development Director | 5 |
| Project Manager | 2 |
| Business Development Manager | 2 |
| Audio Technician | 2 |
| Translator | 2 |
| Account Manager | 2 |
| Backend Engineer | 1 |
| Accounting & Finance Specialist | 1 |
| Dunning Officer | 1 |
| Writer / Transcriptionist | 1 |
| Technical Project Manager | 1 |
| Human Resources Business Partner | 1 |
| AI Engineer | 1 |
| InfoSec Analyst | 1 |
| Customer Excellence | 1 |
| Finance Officer | 1 |
| Designer | 1 |
| HR Officer | 1 |
| Senior Project Manager | 1 |
| Role level | Active listings |
|---|---|
| Mid-Level | 22 |
| Senior | 1 |
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