Engineer II (GenAI-Agentic AI)

Niagara Bottling•Diamond Bar, CA

4h•$100,464 - $145,673

About The Position

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.

Requirements

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
Bachelor's Degree in Computer Science, Engineering, or related field

Nice To Haves

Experience with DevOps practices and CI/CD pipelines is a plus
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
Master's Degree in Computer Science, Engineering, or related field

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 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.
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