As an AI Engineer, you will:
- Design, develop, and maintain scalable AI solutions that enable the deployment, integration, and monitoring of intelligent applications in production environments.
- Build and deploy secure, reliable, and high-performing AI systems using modern cloud technologies and software engineering best practices.
- Collaborate with data scientists, software engineers, and domain experts to develop production-ready AI applications.
- Develop backend services, APIs, and AI platform components to support intelligent solutions.
- Implement and manage automated CI/CD pipelines for AI application deployment and continuous delivery.
- Monitor, optimize, and improve AI systems for scalability, reliability, performance, and operational excellence.
- Contribute to Agile/Scrum DevOps practices by supporting automation, testing, observability, and continuous improvement initiatives.
What You Bring to the Table:
- 6+ years of experience in AI Engineering, Machine Learning, Artificial Intelligence, or related software engineering roles.
- Strong experience in designing and deploying AI/ML solutions in production environments.
- Hands-on experience with AI technologies, AI agents, machine learning workflows, and cloud-based AI platforms.
- Experience with backend development, API integration, automation, and scalable software solutions.
- Knowledge of DevOps practices, CI/CD pipelines, monitoring, testing, and production support.
- Experience working in Agile/Scrum environments with cross-functional teams.
- Strong understanding of software engineering principles, secure development practices, and cloud integration.
You should possess the ability to:
- Design and implement scalable AI solutions aligned with business and technical requirements.
- Develop, integrate, and maintain AI applications across different environments.
- Troubleshoot, optimize, and enhance AI system performance and reliability.
- Build automation frameworks and deployment pipelines for AI applications.
- Collaborate effectively with technical and non-technical stakeholders.
- Apply best practices in coding, testing, monitoring, and operational excellence.
- Adapt to evolving AI technologies and contribute to continuous improvement of AI platforms.
What we bring to the table:
- Opportunity to work on modern AI engineering initiatives involving machine learning, artificial intelligence, and AI agent technologies.
- A collaborative environment focused on innovation, automation, scalability, and high-quality engineering practices.
- Exposure to building and operating production-grade AI systems with a strong focus on reliability and performance.
- Opportunities to enhance expertise in AI platforms, cloud technologies, DevOps practices, and intelligent application development.
Let’s Connect
Want to discuss this opportunity in more detail? Feel free to reach out.
Recruiter: Giftson Paul Davidson
Phone: +31 20 369 0609 ; Extn : 151
LinkedIn: https://www.linkedin.com/in/giftsonpauldavidson/