AI Engineer
About The Position
As an AI Engineer, you will have a hands-on AI Engineer role focused on building, deploying, and maintaining end-to-end AI/ML systems, pipelines, and applications. You will work closely with senior AI engineers while independently owning well-scoped projects and shipping production-ready code. There is emphasis on strong software engineering, data pipelines, cloud infrastructure, containerization, and LLM-based workflows. This position offers close mentorship, real-world production experience, and a clear growth path toward senior AI/ML or data engineering roles. As we continue to evolve and live our Orion values, we are looking for someone to grow with us. For Internal and External Candidates: Candidates must work in-office at one of the following locations for at least 3 days per week: Omaha, NE or Lehi, UT. In this role, you’ll get to: Design, build, and deploy end-to-end AI/ML systems, including model workflows, data pipelines, and deployment architectures Develop and maintain reliable, scalable data pipelines for structured and unstructured data Write clean, maintainable, and well-tested code following software engineering best practices Work with cloud infrastructure, including containerization and orchestration tools Monitor, troubleshoot, and optimize AI workflows and data pipelines for performance and reliability Collaborate with cross-functional teams to integrate AI solutions into production systems
Requirements
- Has strong programming and software engineering skills (Python, JavaScript, or similar languages)
- Has experience designing and maintaining AI/ML systems, workflows, and pipelines
- Has data engineering skills, including ETL processes and handling structured and unstructured data
- Has familiarity with cloud platforms (AWS, GCP, or Azure) and infrastructure concepts
- Has experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
- Has hands-on experience with LLMs and prompt engineering
- Has ability to troubleshoot, optimize, and improve system performance and reliability
- Has strong collaboration skills, paired with the ability to work independently and learn quickly
- Has a minimum of a bachelors degree
- Has a minimum of 3 years of experience
- Owns and manages relationships with stakeholders directly and works effectively with people at all levels in an organization
Responsibilities
- Design, build, and deploy end-to-end AI/ML systems, including model workflows, data pipelines, and deployment architectures
- Develop and maintain reliable, scalable data pipelines for structured and unstructured data
- Write clean, maintainable, and well-tested code following software engineering best practices
- Work with cloud infrastructure, including containerization and orchestration tools
- Monitor, troubleshoot, and optimize AI workflows and data pipelines for performance and reliability
- Collaborate with cross-functional teams to integrate AI solutions into production systems
Benefits
- health, dental, vision, and disability coverage on day one
- 401(k) plan with employer match
- paid parental leave
- pet benefits including pawternity leave and pet insurance
- student loan repayment
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
