Lead AI Engineer

Ethereum Technologies; Omaha (NE); On-site; USD 190,000 - 280,000; Full time

Job summary

Ethereum Technologies is hiring a Sr Staff AI Engineer to define the technical direction for AI-first enterprise systems and to lead architecture across a broad portfolio of applications. You will work hands-on while mentoring engineers and shaping scalable, production-ready solutions.

The role requires deep expertise in AI integration with LLMs, RAG, tool calling, and agentic workflows, plus a track record of setting standards and influencing senior engineers across multiple teams.

Qualifications

• Bachelors or Masters in Computer Science, Engineering, or related field, or equivalent practical experience.
• 8+ years of software engineering with leadership across complex, production-scale systems.
• Deep expertise in full-stack and distributed systems engineering.

Responsibilities

• Set architectural vision and technical direction for AI-first enterprise applications across multiple domains.
• Lead architecture and delivery of complex cross-team systems spanning full-stack apps and cloud-native services.
• Establish reusable engineering standards, reference architectures, and shared capabilities for AI-first systems, including agentic workflows.
• Partner with senior leaders to translate ambiguous problems into clear technical strategies.
• Drive AI-native engineering practices and modern workflows using tools like Cursor and Claude Code.
• Mentor senior engineers and raise engineering standards across the organization.

Skills

Full-stack engineering

Distributed systems

Technical leadership

Architecture direction

AI/LLMs integration

Education

CS degree

Tools

Cursor

Claude Code

Windsurf

Docker

Kubernetes

Job description

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

The IT Engineering team builds AI-first enterprise systems that power critical business workflows across the company. As a Sr Staff AI Engineer, you will set the technical direction across complex initiatives and define architectural standards for scalable systems. You will tackle ambiguous technical problems, remaining hands-on while multiplying your impact through technical leadership and mentorship. Your work will shape the architecture and AI-native engineering practices used across our broader portfolio of enterprise applications.

Key Responsibilities:

• Set architectural vision and technical direction for AI-first enterprise applications and platforms spanning multiple business domains.
• Lead the architecture and delivery of complex cross-team systems across full-stack applications, cloud-native services, and applied AI.
• Establish reusable engineering standards, reference architectures, and shared capabilities for AI-first systems, including agentic workflows and RAG.
• Partner with senior leaders to translate ambiguous, high-impact problems into clear technical strategies and influence broader direction.
• Drive AI-native engineering practices and modern development workflows using tools like Cursor and Claude Code to improve velocity.
• Mentor senior engineers, raise engineering standards, and multiply technical impact across the broader organization.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Minimum of 8 years of software engineering experience with demonstrated technical leadership across complex, production-scale systems.
• Deep expertise in full-stack and distributed systems engineering.
• Demonstrated experience setting architecture and technical direction across multiple services, applications, or engineering teams.
• Production experience designing and building AI-integrated systems using LLMs, RAG, tool calling, and agentic workflows.
• Strong understanding of AI evaluation, guardrails, model reliability, security, latency, and production observability.
• Strong understanding of APIs, enterprise data, system integration, cloud-native architecture, and production operations.
• Proven ability to translate ambiguous business problems into clear technical architectures and execution strategies.
• Track record of establishing technical standards and influencing senior engineers and cross-functional stakeholders.

Preferred Qualifications:

• Proficiency in TypeScript, Node.js/NestJS, React, Python, and SQL.
• Experience with RAG architectures, vector databases, semantic search, retrieval, and context engineering.
• Experience with LangChain/LangGraph, MCP, A2A protocols, and production agentic architectures.
• Experience establishing evaluation frameworks, LLM security controls, prompt injection defenses, and input/output validation.
• Experience with applied machine learning, data science, predictive modeling, or statistical analysis techniques.
• Experience with Docker, Kubernetes, event-driven systems, and modern cloud infrastructure.
• Experience using AI-native development environments such as Cursor, Claude Code, or Windsurf in professional workflows.
• Experience building reusable enterprise platforms or shared technical capabilities adopted across multiple teams.

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.