AI Engineer (PDLC / Agentic AI)

Staffingine LLC; Austin (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Staffingine LLC seeks a hands-on AI Engineer to design and deploy agentic AI solutions across the Product Development Lifecycle. You will build AI agents, tool integrations, and productivity extensions, and run them in production on AWS.

You will design agentic AI applications, connect agents to internal systems via MCP servers, and create reusable skills for AI coding assistants. This role emphasizes hands-on development, deployment, and automation within a hybrid Austin Fort Mill/Charlotte

Qualifications

• Hands-on experience designing and deploying agentic AI applications.
• Experience deploying AI apps to AWS and managing infrastructure as code.
• Familiarity with MCP, tool integrations, and AI coding assistants.

Responsibilities

• Design and build agentic AI applications using Agent SDKs.
• Build MCP servers and tools to connect agents to internal systems and APIs.
• Create reusable skills, plugins, and extensions for AI coding assistants (Claude, Cursor, 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.

Skills

Python

Tools

Claude Agent SDK

OpenAI Agents SDK

LangGraph

Terraform

Helm

Docker

Amazon EKS

Amazon S3

AWS IAM

CI/CD

GitHub Copilot

Cursor IDE

Claude Sonnet

Job description

Location: Austin, Tx or Fort Mill/Charlotte NC (Hybrid) (only local)

Title: AI Engineer (must hv financial domain)

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