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
Job source
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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