> Markdown version of [/jobs/ext/4322902-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4322902-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** DPR Solutions Inc. - **Location:** Austin, TX, United States - **Salary:** $203,840.0 - **Contract:** Permanent contract - **Skills:** 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, 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 - **Published:** October 7, 2026 - **Apply:** https://www.thejobnetwork.com/job/cb9c2bf0-5ba9-4322-b234-d26c7da37103/ai-engineer ## About the Role * 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 ## 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