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.
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
