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Medium — metro role with a visible full-stack AI remit but senior, specialized skills limit applicant density.
Medium — full-stack and cloud skills transferable, but specialized AI platform and Bedrock experience raises specificity.
High due to explicit 7+ years and mandatory AI, AWS, Kubernetes, Terraform, and full-stack tech requirements.
Design, build, and ship production-grade full stack AI applications using customer AI platform components (AgentCore, Bedrock, SageMaker) including frontend, backend, and CI/CD pipelines.
Take end-to-end ownership of application development from prototype to production readiness, handling security, scalability, reliability, testing, and deployment via Kubernetes and Terraform.
Act as an advisor for AI prototype teams, establish best practices, reusable patterns, and mentor engineers on building scalable AI-powered products.
7+ years of software engineering experience.
Strong full stack development skills: React frontend, Python backend with REST APIs and FastAPI or similar frameworks.
Proficiency with CI/CD and infrastructure tools like Kubernetes, Terraform, Docker, automated testing, modern Git workflows.
Hands-on AWS experience primarily with AWS AI services (Bedrock, SageMaker, AgentCore) plus EC2, ECS/EKS, Lambda, API Gateway.
Experienced in delivering production AI products, comfortable balancing product needs with technical feasibility from prototype through scaling.
Deep knowledge of AWS AI platform ecosystem and cloud-native full stack deployment patterns in a CI/CD context.
Able to provide strategic guidance to cross-functional teams and mentor on best practices for building robust, scalable AI applications.