The engineer designs, builds, and deploys agentic AI proof-of-concepts using specific cloud-based agent layers. They develop robust AI services, agent logic, and REST-based microservices to support business use cases. The role involves writing and maintaining infrastructure code to provision and manage cloud resources for scalable deployments. The engineer collaborates with stakeholders to gather requirements and iterate on initiatives that support large-scale programs. Additionally, they build multi-agent workflows and integrate systems using modern API patterns. The position also requires creating CI/CD pipelines, implementing secure access policies, and evaluating emerging technologies to strengthen the platform.

The role requires five to ten years of engineering experience. Candidates must possess hands-on expertise in Python 3.11+ and production-level experience with Terraform for infrastructure provisioning. Proficiency in AWS services, including IAM, Lambda, and Bedrock, is necessary. Furthermore, the position requires experience with multi-agent orchestration frameworks and the Model Context Protocol.