AI Software Engineer II (Company Production Systems)

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:

• Work in an entrepreneurial and dynamic environment with a chance to make an impact.
• Develop lasting relationships with great people.
• Have the opportunity to build a satisfying career.

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

• Execute established Software Development Life Cycle (SDLC) processes.
• Collaborate with business analysts and stakeholders to develop software solutions aligned with business processes, data usage, and system flows.
• Create detailed process flows, high-level functional designs, and technical design specifications based on business requirements.
• Write clean, scalable, efficient, and testable code.
• Deploy software solutions and proactively evaluate user feedback.
• Troubleshoot, debug, maintain, and upgrade existing systems and applications.
• Adhere to enterprise standards and development guidelines, including documentation, version control, testing, and migration practices.
• Plan, track, escalate, and deliver assigned tasks effectively and on schedule.
• Provide reliable customer support for critical application issues.
• Collaborate effectively with onsite and offshore teams.
• Continuously enhance job knowledge by exploring state-of-the-art development tools, programming techniques, and industry trends.
• Communicate proactively with internal and external partners.
• Participate in scheduled and off-hours support rotations as needed.

Please note this job description outlines primary duties but is not exhaustive. Responsibilities may evolve over time.

Additional Expectations:

• Analyze and develop technical solutions aligned with business and customer requirements
• Exhibit strong analytical, problem-solving, and critical-thinking skills
• Demonstrate the ability to translate complex business and technical needs into actionable solutions
• Effectively manage multiple priorities and concurrent projects
• Possess strong written and verbal communication skills, including detailed documentation of technical incidents and processes
• Work independently while maintaining strong team-oriented interpersonal skills, including collaboration, facilitation, and effective interfacing with diverse groups
• Maintain a high degree of professionalism and business judgment
• Deliver effective and professional presentations to peers, management, and technical professionals
• Proficient with standard productivity tools such as Microsoft Office and Outlook
• Exhibit excellent interpersonal skills, organizational proficiency, and planning capabilities
• Experience with DevOps practices and CI/CD pipelines is a plus

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.

• Paid Time Off for holidays, sick time, and vacation time
• Paid parental and caregiver leaves
• Medical, including virtual care options
• Dental
• Vision
• 401(k) with company match
• Health Savings Account with company match
• Flexible Spending Accounts
• Expanded mental wellbeing benefits including free counseling sessions for all team members and household family members
• Family Building Benefits including enhanced fertility benefits for IVF and fertility preservation plus adoption, surrogacy, and Doula reimbursements
• Income protection including Life and AD&D, short and long-term disability, critical illness and an accident plan
• Special discount programs including pet plans, pre-paid legal services, identity theft, car rental, airport parking, etc.
• Tuition reimbursement, college savings plan and scholarship opportunities
• And more!

* *Los Angeles County applicants only** Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the California Fair Chance Act, and any other applicable local and state laws.

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