Rapid Circle is a global cloud and AI consulting partner helping organisations achieve what’s next by turning technology into real, measurable business impact. We accelerate digital transformation with deep expertise in cloud, data, security, and intelligent systems, grounded in proven frameworks and a people-first approach. Backed by in-house Microsoft MVPs and global engineering teams across the Netherlands, Australia, and India, we build a culture of ownership, curiosity, and continuous learning. At Rapid Circle we invest in your growth and give you the freedom to build impactful solutions that empower our customers to thrive in a rapidly evolving world.
About the Role:
We are looking for highly motivated AI Engineers who can design, build, and operationalize production-grade Generative AI solutions across multi-cloud environments (AWS and Azure). This is not a research-only role. This is a hands-on engineering role focused on building scalable, secure, and cost-efficient AI systems that create real business impact. If you are proactive, adaptable, and comfortable working in fast-moving engineering environments - we would love to speak with you.
What You Will Do:
- Design, build, and deploy Generative AI solutions across AWS (primary) and Azure (OpenAI services).
- Build and optimize RAG pipelines integrated with vector databases.
- Develop backend APIs using Python (FastAPI preferred) to operationalize AI models.
- Work with LLM frameworks such as LangChain, Semantic Kernel, or OpenAI SDKs.
- Implement CI/CD pipelines using GitHub Actions and ensure production readiness.
- Apply best practices around LLM cost optimization, prompt engineering, tuning, and evaluation.
- Ensure secure integration using OAuth2/OIDC, IAM, secrets management, and cloud security standards.
- Collaborate closely with architects, data scientists, and cloud engineers.
- Take ownership of tasks from backlog to deployment without micro-management.
- Mentor junior engineers where required.
Required Skills & Experience:
- 3–8 years of experience in Software Engineering, Cloud Engineering, AI Engineering, or DevOps.
- Strong hands-on experience with: VPC, S3, Lambda, API Gateway, ECS/EKS, CloudWatch, Azure OpenAI, APIM, Azure AI services.
- Proven experience delivering Generative AI solutions.
- Strong understanding of: RAG architecture, Vector databases, LLM lifecycle & pricing considerations
- Strong Python development skills with production API experience.
- Experience designing and maintaining CI/CD pipelines
Good to have skills:
- Experience with LLM observability and evaluation tools (LangSmith, MLflow, etc.)
- Understanding of hybrid-cloud networking patterns.
- Experience working in distributed/global teams.
- Azure AI Engineer or AWS Solutions Architect certification.
Why Join Us
- Work on real-world AI systems impacting multiple industries.
- Exposure to global engineering teams.
- Freedom to experiment, build, and grow.
- Opportunity to shape next-generation AI solutions in production environments.
