SKE Risepoint is hiring a Senior AI Engineer with a concentration in cloud architecture to design, deploy, and scale production-grade AI services for our AI-powered Student Journey Platform. You will focus on building robust, scalable systems within cloud environments to support our mission of increasing access to affordable education.
What You'll Do
- Design and implement scalable AI service architectures in cloud environments, with a preference for Azure.
- Build event-driven systems using queues and messaging platforms like Azure Service Bus, RabbitMQ, or SQS.
- Implement event streaming and real-time processing pipelines with technologies such as Kafka, Azure Event Hubs, Pub/Sub, or Kinesis.
- Architect, maintain, and scale containerized AI services deployed to Kubernetes, emphasizing Azure Kubernetes Service (AKS).
- Design orchestration layers that manage model calls, downstream services, retries, rate limits, and failure handling.
- Optimize system performance under load, including horizontal scaling, autoscaling, resource management, and cost control.
- Implement WebSocket or real-time client communication patterns for interactive AI applications.
- Contribute to infrastructure-as-code and CI/CD practices for AI service deployment.
- Partner with Product and business stakeholders to translate growth targets into scalable technical architectures and capacity plans.
What We're Looking For
- 3-5 years of software engineering experience with strong fundamentals in object-oriented programming, design patterns, and distributed systems.
- Professional experience in Python, C#, or Java used in production systems.
- Strong hands-on experience with Docker and Kubernetes-based orchestration, with a preference for AKS.
- Experience integrating AI/LLM workloads into enterprise-grade distributed systems.
Nice to Have
- Experience designing APIs and backend systems that support high concurrency and real-time interactions.
- Experience designing event-driven architectures using messaging systems like Azure Service Bus, RabbitMQ, or SQS.
- Experience implementing event streaming systems like Kafka, Azure Event Hubs, Pub/Sub, or Kinesis.
- Experience deploying AI systems in cloud environments (AWS, Azure, GCP).
- Experience in Databricks, including model serving endpoints and ML Flow.
Technical Stack
- Languages: Python, C#, Java
- Infrastructure: Docker, Kubernetes, Azure Kubernetes Service (AKS)
- Messaging: Azure Service Bus, RabbitMQ, SQS
- Event Streaming: Kafka, Azure Event Hubs, Pub/Sub, Kinesis
- Real-time: WebSocket
- ML Platform: Databricks, ML Flow
- Clouds: AWS, Azure, GCP
Team & Environment
You will collaborate closely with CloudOps, DevOps, and application engineering teams. You will also partner with Product and business stakeholders to deliver scalable solutions.
Risepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.
