Senior AI Developer (AWS Cloud & Agentic AI Engineer)

AP Recruiters & Associates•Jupiter, FL

1d•Onsite

About The Position

We are seeking a highly skilled Senior AI Developer / AWS Cloud Engineer to design and build scalable, AI-driven, cloud-native platforms. This role focuses on developing agentic AI workflows, APIs, and enterprise-grade solutions leveraging modern AWS services. The ideal candidate will have deep expertise in AWS architecture, AI/LLM platforms, and distributed systems, with the ability to deliver secure, production-ready solutions in a complex enterprise environment.

Requirements

10+ years of experience in software development, cloud engineering, or AI development
Strong hands-on experience with AWS and cloud-native architectures
Experience building APIs using AWS Lambda, ECS, and/or EKS
Hands-on experience with AWS Bedrock AgentCore and agentic workflows
Experience building and managing MCP servers
Strong experience with AWS Connect integrations
Proficiency in Infrastructure as Code (CloudFormation, CDK)
Experience with CI/CD pipelines (GitHub Actions)
Familiarity with AI-assisted development tools (e.g., Windsurf, SpecIt)
Strong understanding of enterprise system design and scalability
Strong communication and cross-functional collaboration skills
Ability to thrive in a fast-paced, complex environment
Strong problem-solving and ownership mindset
Valid driver's license

Nice To Haves

Experience integrating AWS Connect with AI/agentic workflows
Exposure to AWS Novasonic or similar AI/voice technologies
Experience with LLM platforms, agent orchestration, and observability frameworks
Prior experience in large-scale enterprise environments

Responsibilities

Design, build, and operate scalable cloud-native applications and APIs using AWS services (Lambda, ECS, EKS)
Develop and implement agentic AI workflows using AWS Bedrock AgentCore
Build and manage MCP servers and end-to-end AI-driven solutions
Integrate AWS Connect with AI workflows and backend systems
Develop infrastructure using Infrastructure as Code (CloudFormation, CDK)
Design and maintain CI/CD pipelines using GitHub Actions
Collaborate with cross-functional teams (application, data, security, platform)
Ensure solutions meet enterprise standards for security, scalability, and reliability
Apply AI-assisted development practices and spec-driven engineering approaches
Drive innovation in AI/LLM-based platforms and agent orchestration