About this Opportunity:
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.
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 youll 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
Were looking for talent who:
- 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
Required Experience:
IC
About this Opportunity: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...
About this Opportunity:
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.
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 youll 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
Were looking for talent who:
- 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
Required Experience:
IC
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