S
AI Engineer (PDLC / Agentic AI)
Staffingine LLC
3 hours ago
Full-time
On-site
Austin, Texas, United States
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
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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
#J-18808-Ljbffr