Lead AI Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Omaha (NE); On-site; USD 180,000 - 230,000; Full time

Job summary

The Lead AI Engineer at MACHINE LEARNING TECHNOLOGIES LLC in Omaha, NE will set the technical direction for AI-first enterprise systems, while remaining hands-on to mentor teams and scale complex architectures. You will drive modern workflows and define standards for reusable AI capabilities across a portfolio of applications.

You will lead cross-team delivery, influence senior stakeholders, and champion evaluation, security, and observability for production AI systems using tools like Cursor

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field or equivalent practical experience.

Responsibilities

• Set architectural vision and technical direction for AI-first enterprise applications across domains.

Skills

Full-stack engineering

Distributed systems

AI/LLM integration

Technical leadership

Cloud-native

TypeScript/Node.js

Python

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Docker

Kubernetes

Cursor

Claude Code

LangChain

LangGraph

Job description

Job Overview

Job ID: J53403

Job Title: Lead AI Engineer

Location: Omaha, NE

Duration: 24 Months + Extension

Domain Exposure: IT/Software

Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Job Description

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.

Equal Opportunity Employer

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.