AI Engineer

DPR Solutions Inc.
Austin, TX, United States
28 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$203,840.0
Working hours
Regular working hours

Tech stack

LangGraph Framework .NET Framework Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon S3 C Sharp (Programming Language) Code Review Cursor Identity and Access Management Python (Programming Language) OpenAI
+16 more
Microsoft Copilot GitHub Copilot Retrieval-Augmented Generation Claude Code Prompt Engineering AI Coding Agents Agentic-AI Build Management Containerization AngularJS Claude Evaluation of Large Language Models Model Context Protocol Terraform Agent SDK Docker

Job description

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., * 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

Requirements

  • 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

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