AI Engineer

Must Have : Hands-on experience with Python, Hands-on experience with Agent SDKs,

Experience with .NET / C#, Experience with Angular

++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 MCP servers

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