Senior .NET & AI Engineer

Ethereum Technologies; Wilmington (DE); On-site; USD 110,000 - 150,000; Full time

Job summary

Ethereum Technologies is seeking engineers to design and build AI-enabled, scalable software using C#/.NET, Blazor, and Azure AI services. You will craft AI-augmented SDLC workflows, develop agents and intelligent automation, and contribute to QA, performance testing, and security automation within Agile teams.

The role emphasizes practical AI architecture, responsible AI considerations, and strong collaboration to deliver high-quality software and continuous improvement.

Qualifications

• Experience with large language model architecture and AI-enabled workflows.
• Hands-on experience building AI agents or AI-enabled workflows for development, QA, or security automation.
• Strong knowledge of Azure AI Foundry, Azure OpenAI Service, and modern AI/ML frameworks.
• Ability to design AI-augmented SDLC workflows with measurable efficiency gains.
• Ability to design AI-enabled platform workflows and evaluate AI-generated output for risks.

Responsibilities

• Design, develop, and maintain scalable applications using C# and .NET Core.
• Build modern web apps using Blazor Server/Was, or similar frameworks.
• Leverage AI-assisted development tools to improve code quality and testing.
• Develop AI-enabled workflows and automations within Agile teams.
• Create AI-enhanced testing, performance, and security automation solutions.
• Collaborate with cross-functional teams to drive continuous improvement.

Skills

LLM architecture

Prompt engineering

RAG

Semantic search

Vector databases

AI patterns

AI agents

Azure OpenAI

AI SDLC

AI documentation

Tools

Playwright

Artillery

JMeter

K6

Locust

Job description

Ethereum Technologies is seeking engineers to design and build AI-enabled, scalable software using C#/.NET, Blazor, and Azure AI services. You will craft AI-augmented SDLC workflows, develop agents and intelligent automation, and contribute to QA, performance testing, and security automation within Agile teams.

The role emphasizes practical AI architecture, responsible AI considerations, and strong collaboration to deliver high-quality software and continuous improvement.