AI/ML Software Engineer II (Enterprise Production Systems)

Niagara Bottling•Diamond Bar, CA

3d•$102,976 - $149,315

About The Position

The AI/ML Software Engineer II / IT Developer II is a hands-on member of Niagara Bottling’s Integration and Middleware Development team. The role designs, builds, and deploys AI/ML and Generative AI capabilities within enterprise systems while contributing to scalable integration and middleware platforms. Work includes applying machine learning, LLM-based solutions, data pipelines, intelligent automation, monitoring, anomaly detection, predictive workflows, AI-assisted development, and intelligent integration patterns to engineering and business problems. The position designs, develops, and maintains scalable APIs, microservices, and middleware technologies, embedding AI/ML capabilities into enterprise integration workflows. It uses Node.js and Python and modern microservices and API design patterns. The Developer collaborates with full-stack, data science, database, and ERP teams, as well as cross-functional business partners, to deliver intelligent, scalable enterprise solutions. The role follows established SDLC processes; develops technical designs and software; deploys and maintains systems; responds to user feedback and critical application issues; follows enterprise documentation, version control, testing, and migration standards; and coordinates work across onsite and offshore teams. It may participate in scheduled and off-hours support rotations as needed. Responsibilities may evolve and the listed duties are not exhaustive.

Requirements

4–5 years of hands-on experience designing and implementing AI/ML/Generative AI solutions, including integrating machine learning models into production systems.
4–5 years of experience with LLMs, prompt engineering, or AI-assisted automation.
4–5 years of experience implementing intelligent monitoring, anomaly detection, predictive workflows, AI-driven error handling, or AI/ML for engineering productivity, automation, or enterprise system enhancements; practical implementation experience is required.
4–5 years of cloud technology experience, with Azure preferred and AWS acceptable, including deployment of AI/ML or data-driven services.
4–5 years of enterprise integration and middleware development experience, including MuleSoft.
4–5 years of Node.js and Python development experience, including Python for data processing, ML workflows, or AI integration.
4–5 years of experience building scalable APIs and microservices and understanding architectural patterns.
3 years of experience managing technical projects and/or working in roles requiring substantial cross-team collaboration.
Bachelor’s degree in Computer Science, Engineering, or a related field; experience may include a combination of work experience and education.
Strong analytical, problem-solving, and critical-thinking skills.
Strong written and verbal communication skills, including detailed technical documentation.
Ability to work independently and collaboratively with diverse groups, manage priorities, and demonstrate professionalism and business judgment.
Proficiency with standard productivity tools such as Microsoft Office and Outlook.

Nice To Haves

6 years of hands-on experience designing, training, fine-tuning, or integrating AI/ML/Generative AI solutions in production environments.
Experience with LLM frameworks and AI platforms such as Azure OpenAI, OpenAI, or Hugging Face.
Experience with model lifecycle management, evaluation, or monitoring practices.
Experience with AI-powered automation or intelligent workflow orchestration.
Experience with data preprocessing, feature engineering, or model optimization.
6 years of cloud technology experience; Azure preferred and AWS acceptable.
5 years of enterprise integrations and middleware development experience, including MuleSoft.
5 years of experience building scalable APIs and microservices and understanding architectural patterns.
4 years of experience managing technical projects and/or working in roles requiring substantial cross-team collaboration.
Master’s degree in Computer Science, Engineering, or a related field.
Experience with DevOps practices and CI/CD pipelines.

Responsibilities

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 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 evaluate user feedback.
Troubleshoot, debug, maintain, and upgrade existing systems and applications.
Follow 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 customer support for critical application issues.
Collaborate with onsite and offshore teams and communicate proactively with internal and external partners.
Continuously develop job knowledge by exploring development tools, programming techniques, and industry trends.
Participate in scheduled and off-hours support rotations as needed.
Analyze and develop technical solutions aligned with business and customer requirements.
Translate complex business and technical needs into actionable solutions and manage multiple priorities and concurrent projects.
Document technical incidents and processes, and present information professionally to peers, management, and technical professionals.
Apply AI/ML and Generative AI capabilities to enterprise systems and integration workflows, including intelligent monitoring, anomaly detection, predictive workflows, AI-assisted development, and intelligent automation.
Design, develop, and maintain scalable APIs, microservices, and middleware technologies.
Work with cross-functional IT and business teams to deliver intelligent, scalable enterprise solutions.

Benefits

Paid time off for holidays, sick time, and vacation time
Paid parental and caregiver leaves
Medical coverage, including virtual care options
Dental coverage
Vision coverage
401(k) with company match
Health Savings Account with company match
Flexible Spending Accounts
Mental wellbeing benefits, including free counseling sessions for team members and household family members
Family Building Benefits, including 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 accident plans
Special discount programs, including pet plans, prepaid legal services, identity theft protection, car rental, and airport parking
Tuition reimbursement, college savings plan, and scholarship opportunities