Agentic AI Engineer for FinTech PDLC (AWS)

Staffingine LLC

Austin (TX)

Hybrid

USD 120,000 - 180,000

Full time

3 days ago
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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

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

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