Agentic AI Engineer

Title: AI Engineer

Location: Austin, Tx or Fort Mill, NC (Hybrid)

Job Description: AI Engineer (PDLC / Agentic AI)

About the Role

We are looking for a hands-on AI Engineer to build and deploy agentic AI solutions across the Product Development Lifecycle (PDLC). You will build AI agents, tool integrations, and developer-productivity extensions, and run them in production on AWS.

Key Responsibilities

• Design and build agentic AI applications using Agent SDKs (e.g., Claude Agent SDK, OpenAI Agents SDK, LangGraph)
• Build and integrate MCP (Model Context Protocol) servers and tools that connect agents to internal systems and APIs
• Create reusable skills, plugins, and extensions for AI coding assistants (Claude Code, Cursor, GitHub Copilot)
• Use AI coding tools daily to speed up development, testing, documentation, and code reviews
• Deploy, monitor, and scale agentic AI applications
• Write infrastructure as code with Terraform and Helm for repeatable deployments
• Work with product and engineering teams to find PDLC workflows that can be automated with AI

Required Skills

• Strong hands-on experience with Python
• Hands-on experience with Agent SDKs, tool/function calling, and MCPservers
• Extensive daily use of Claude, Cursor, and/or Copilot in development workflows
• Experience building skills, plugins, or custom extensions for AI coding tools
• Experience deploying AI applications to AWS
• Working knowledge of Terraform, Helm, Amazon EKS, Amazon S3, and AWS IAM
• Understanding of containerization (Docker) and CI/CD pipelines

Good to Have

• Experience with .NET / C#
• Experience with Angular
• Familiarity with LLM evaluation, observability, and guardrails
• Experience with prompt engineering and RAG patterns

Skills

AWS, Cursor IDE, OpenAI Agents SDK, GitHub Copilot, Amazon EKS, Terraform, MCP, Docker, Claude Sonnet, CI/CD