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DBServices Portugal
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AI Engineer (Generative AI & MLOps) [Hybrid - Maia, Portugal]
Portugal
· Full-time
·
Not Applicable
We are looking for a Mid-Level AI Engineer to join an international technology environment focused on building scalable AI-powered solutions. This professional will work on the integration, deployment, optimization, and maintenance of AI services and data pipelines, collaborating closely with software engineering and product teams.
The ideal candidate has hands-on experience with AI integrations, APIs, scalable architectures, and production-ready AI environments.
Tasks:
At DBServices, we design, develop, and support cutting-edge digital platforms that drive innovation for leading companies across IT, Banking, Retail, Government, Healthcare, and other industries in Europe and the Americas. Our expertise empowers businesses to grow, adapt, and lead in dynamic markets.
Trusted by industry leaders like Worten, Sonae, Edenred, Natixis, Farfetch, Glintt, Efacec, Segurança Social, and McDonald's, we deliver solutions that make a real impact.
Join us and be part of a global team that's shaping the future of digital transformation.
The ideal candidate has hands-on experience with AI integrations, APIs, scalable architectures, and production-ready AI environments.
Tasks:
- Develop APIs and microservices to expose AI capabilities to frontend and backend applications
- Build and maintain data pipelines to support AI model training, validation, and inference
- Optimize AI inference performance, scalability, and cost efficiency
- Monitor and maintain AI models in production environments following MLOps best practices
- Collaborate with cross-functional teams to integrate AI solutions into existing systems
- Support the evolution of AI architectures and platform reliability
- Ensure code quality, observability, and maintainability across AI services
- Professional experience working with AI-powered applications or machine learning integrations
- Experience developing APIs and microservices
- Knowledge of data pipelines and data processing workflows
- Understanding of scalability, performance optimization, and cloud-based architectures
- Experience monitoring and maintaining AI models in production environments
- Familiarity with MLOps concepts and best practices
- Experience with containerization and CI/CD pipelines
- Good communication skills and collaborative mindset
- English proficiency for professional communication
- Experience with Generative AI and LLM integrations
- Experience with Azure AI, OpenAI, AWS AI, or Google AI services
- Knowledge of vector databases and RAG architectures
- Experience with Kubernetes and cloud-native environments
- Hybrid model: 2 days per week onsite in Maia, Portugal.
- Collaborative Environment: We value a sense of community where ideas are shared, and achievements are celebrated as a team.
- Global Connection: An opportunity to interact with people from different countries and cultures, expanding your network and worldview.
- Physical Health Support: Through TotalPass and Mediquo, we provide resources and programs, and telemedicine dedicated to your physical well-being
- Mental Health Care: Team Care provides initiatives and actions to support your emotional and mental balance in daily life.
At DBServices, we design, develop, and support cutting-edge digital platforms that drive innovation for leading companies across IT, Banking, Retail, Government, Healthcare, and other industries in Europe and the Americas. Our expertise empowers businesses to grow, adapt, and lead in dynamic markets.
Trusted by industry leaders like Worten, Sonae, Edenred, Natixis, Farfetch, Glintt, Efacec, Segurança Social, and McDonald's, we deliver solutions that make a real impact.
Join us and be part of a global team that's shaping the future of digital transformation.
Key Skills
Ranked by relevance
ai
cloud
mlops
containerization
machine learning
microservices
kubernetes
cicd
aws
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- Posted
- May 12, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Maia
- Company
- DBServices Portugal
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
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