Senior AI Engineer

Making a difference and driving positive change is what we do every day at Rapid Circle. Our Cloud Pioneers help our clients in their digital transformation. Are you someone who goes for constant, positive change? Then this vacancy is for you!

As a Cloud Pioneer at Rapid Circle, you will work with our customers on different projects. For example, making impact in the healthcare sector, by making research data safely available. But also, awesome projects in the manufacturing or energy market make this job very challenging.

At Rapid Circle we are curious and are constantly improving our expertise to help customers find their way in a rapidly changing world. We share our knowledge and discover new ways to learn.

Rapid Circle is growing rapidly and are therefore looking for the right person for the role. You will be given lots of freedom to develop personally. We also have a lot of in-house knowledge (MVPs) within the Netherlands, Australia, and India. By working closely with your (international) colleagues, you can continue to challenge yourself and create your own growth path. Freedom, entrepreneurship, and development are key at Rapid Circle, so also in the role of a Power Platform Lead.

Required

Qualifications & Requirements

• 3–8 years of professional experience in cloud/software engineering or DevOps.
• Strong, hands-on expertise with core AWS services: IAM, VPC, S3, API Gateway, Lambda, ECS/EKS, CloudWatch, and KMS.
• Practical, demonstrable experience with Microsoft Azure, specifically with Azure AI Foundry and Azure OpenAI.
• Proven track record of delivering Generative AI solutions using OpenAI/Azure OpenAI and agentic frameworks (e.g., LangChain, OpenAI Assistants).
• Solid expertise in building RAG systems, working with vector databases, and a clear understanding of LLM pricing and tuning options.
• Proficiency in Python and FastAPI for backend development.
• Experience with Infrastructure-as-Code (IaC) using Terraform or AWS CDK.
• Hands-on experience with CI/CD using GitHub Actions and a strong grasp of testing and code quality fundamentals.
• Knowledge of identity and security management using Entra ID (Azure AD), OAuth2/OIDC, and secrets management patterns.
  
  

Good To Have

• Experience with LLM evaluation and observability tools (e.g., Weights & Biases, MLflow, LangSmith).
• Knowledge of cross-cloud networking and compliance frameworks.
• Relevant certifications are a significant plus:
• Microsoft: Azure AI Engineer Associate or Azure Solutions Architect.
• AWS: AWS Solutions Architect (Associate or Professional).