AI Engineer with .NET

Ethereum Technologies; Austin (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

Ethereum Technologies is seeking a hands-on AI engineer in Austin, TX to design agentic AI applications, build MCP servers, and create reusable skills for AI coding tools. You will deploy to AWS, manage IaC with Terraform and Helm, and automate PDLC workflows with AI.

You will daily leverage Claude, Cursor, and Copilot in development, shipping plugins and extensions, and ensuring scalable, observable deployments across internal systems.

Qualifications

• 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

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

Skills

Python

Agent SDKs

MCP servers

AI coding tools

AWS deployment

Terraform/Helm

Docker/CI/CD

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

• 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

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.