At Niagara, we're looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water.
Consider applying here, if you want to:
We offer competitive compensation and benefits packages for our Team Members.
AI Software Engineer II (Company Production Systems)
The AI Software Engineer II / IT Developer II will be a key member of our Integration and Middleware Development team, with a strong hands-on focus on AI/ML-driven engineering solutions. The ideal candidate will bring practical experience designing, building, and deploying AI/ML and Generative AI capabilities within enterprise systems, while also contributing to scalable integration and middleware platforms.
This role requires hands-on experience applying machine learning, Generative AI, and intelligent automation techniques to solve real engineering and business problems - including intelligent monitoring, anomaly detection, predictive workflows, AI-assisted development, and intelligent integration patterns. The candidate should demonstrate practical experience working with ML models, LLM-based solutions, data pipelines, and AI-powered system enhancements.
The candidate will specialize in designing, developing, and maintaining scalable APIs, microservices, and middleware technologies while embedding AI/ML capabilities into enterprise integration workflows. Strong expertise in Node.js, Python, modern microservices architectures, and API design patterns is expected.
The Developer will collaborate closely across the IT Department with full-stack, data science, database, and ERP teams, as well as cross-functional business partners to deliver intelligent, scalable, and AI-enabled enterprise solutions.
Essential Functions
Please note this job description outlines primary duties but is not exhaustive. Responsibilities may evolve over time.
Additional Expectations:
Qualifications
Minimum Qualifications:
4-5 Years- Hands-on experience designing and implementing AI/ML/GenAI solutions, including:
Building and integrating machine learning models into production systems
Working with Large Language Models (LLMs), prompt engineering, or AI-assisted automation
Implementing intelligent monitoring, anomaly detection, predictive workflows, or AI-driven error handling
Applying AI/ML to engineering productivity, automation, or enterprise system enhancements
Demonstrated practical implementation, not just conceptual knowledge
4-5 Years- Cloud technologies experience (Azure preferred, AWS acceptable), including deployment of AI/ML or data-driven services
4-5 Years- Experience with Enterprise Integrations and middleware development (MuleSoft)
4-5 Years- Experience with Node.js and Python development (including experience using Python for data processing, ML workflows, or AI integration)
4-5 Years- Experience building scalable APIs/microservices with demonstrated understanding of architectural patterns
3 Years- Experience managing technical projects and/or working in roles requiring substantial cross-team collaboration
Experience may include a combination of work experience and education
experience may include a combination of work experience and education
Preferred Qualifications:
6 Years- Hands-on experience designing, training, fine-tuning, or integrating AI/ML/GenAI solutions in production environments
Experience working with:
LLM frameworks and AI platforms (Azure OpenAI, OpenAI, Hugging Face, etc.)
Model lifecycle management, evaluation, or monitoring practices
AI-powered automation or intelligent workflow orchestration
Data preprocessing, feature engineering, or model optimization
6 Years- Cloud technologies experience (Azure preferred, AWS acceptable)
5 Years- Experience with Enterprise Integrations and middleware development (MuleSoft)
5 Years- Experience building scalable APIs/microservices with demonstrated understanding of architectural patterns
4 Years- Experience managing technical projects and/or working in roles requiring substantial cross-team collaboration
experience may include a combination of work experience and education
Education
Minimum Required:
Bachelor's Degree in Computer Science, Engineering, or related field
Preferred:
Master's Degree in Computer Science, Engineering, or related field
Typical Compensation Range
Pay Rate Type: Salary
$100,464.14 - $145,673.02 / Yearly
Benefits
Our Total Rewards package is thoughtfully designed to support both you and your family:
Regular full-time team members are offered a comprehensive benefits package, while part-time, intern, and seasonal team members are offered a limited benefits package.
https://careers.niagarawater.com/us/en/benefits
Any employment agency, person or entity that submits a résumé into this career site or to a hiring manager does so with the understanding that the applicant's résumé will become the property of Niagara Bottling, LLC. Niagara Bottling, LLC will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
Employment agencies that have fee agreements with Niagara Bottling, LLC and have been engaged on a search shall submit résumé to the designated Niagara Bottling, LLC recruiter or, upon authorization, submit résumé into this career site to be eligible for placement fees.
Niagara Plant Name
CORP-MAIN
| Location | Diamond Bar, CA |
| Salary | $100,464.14–$145,673.02 Per Year |
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