Job Title: AI Engineer (Full-Time, Onsite)
Location:
Omaha, NE or Lehi, UT (Relocation available)
Employment Type:
Full-Time
Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience.
Key Responsibilities
Design, build, and deploy end-to-end AI/ML systems, including model workflows and deployment architectures
Develop and maintain scalable data pipelines for structured and unstructured data
Write clean, efficient, and well-tested code following best practices
Work with cloud platforms and infrastructure, including containerization and orchestration tools
Monitor, troubleshoot, and optimize AI systems and data pipelines
Collaborate with cross-functional teams to integrate AI solutions into production environments
Required Qualifications
Strong programming skills in Python, JavaScript, or similar languages
Experience building and maintaining AI/ML systems and workflows
Hands-on experience with data engineering concepts, including ETL processes
Familiarity with cloud platforms (AWS, GCP, or Azure)
Experience with xsgimln containerization tools like Docker and orchestration tools like Kubernetes
Experience working with Large Language Models (LLMs) and prompt engineering
Strong problem-solving and troubleshooting skills
Ability to work independently and collaborate with cross-functional teams
Bachelor’s degree in a related field
Minimum 3 years of relevant experience