DataAnnotation

AI Systems Engineer (Marketing & Operations)

Garden Grove, CA 92843

Schedule

• Full-time · On-site
• No remote · No hybrid
• Monday – Friday: 8 am- 4:30 pm
• Overtime as needed

Job Overview

We are hiring an experienced, hands-on AI Systems Engineer to design, deploy, and operate production AI systems across marketing and operations.

You will assess existing data and processes, build AI-driven systems, and deliver automation that is used daily by the business. You will work closely with Marketing, Sales, Compliance, R&D, Production, and Procurement to deliver reliable, auditable, production-ready AI systems.

Key Responsibilities

• Design and deploy multi-agent AI systems supporting forecasting, marketing optimization, and operational workflows
• Build and operate LLM-based systems including RAG, fine-tuning pipelines, and domain knowledge bases
• Develop demand and sales forecasting models (Prophet, XGBoost, ARIMA, or similar)
• Implement AI-driven PPC optimization for Google Ads and Meta Ads (bidding, targeting, performance analysis)
• Generate compliant ad copy, email campaigns, and video scripts using AI pipelines
• Integrate AI workflows with ERP, CRM, MES, QMS, and marketing platforms (HubSpot, Klaviyo, Google Ads API)
• Build and maintain ETL/ELT data pipelines for structured and unstructured data
• Monitor, test, and validate AI systems for accuracy, stability, and performance
• Develop dashboards and reporting to track system impact and ROI
• Maintain audit trails and logging to support compliance and transparency

Required Qualifications

• Strong Python proficiency
• Proven experience delivering production ML or Generative AI systems end-to-end
• Hands-on experience with agentic AI or workflow orchestration
• Experience with cloud platforms (AWS, GCP, or Azure)
• Experience building data pipelines using SQL, Spark, Airflow, or similar tools
• Solid understanding of marketing analytics (CTR, ROAS, CAC, A/B testing)
• Experience integrating with digital advertising platforms (Google Ads, Meta Ads)
• Ability to work independently and guide stakeholders based on prior experience

Required Qualifications

• Strong Python proficiency
• Proven experience delivering production ML or Generative AI systems end-to-end
• Hands-on experience with agentic AI or workflow orchestration
• Experience with cloud platforms (AWS, GCP, or Azure)
• Experience building data pipelines using SQL, Spark, Airflow, or similar tools
• Solid understanding of marketing analytics (CTR, ROAS, CAC, A/B testing)
• Experience integrating with digital advertising platforms (Google Ads, Meta Ads)
• Ability to work independently and guide stakeholders based on prior experience

Compensation: Starting $50–$60 per hour, DOE

Benefits

• Health & Dental insurance
• 401(k) plan
• Paid time off
• Paid holidays
• Free lunch
• Year-End Bonus

Pay: $50.00 - $60.00 per hour

Expected hours: No less than 40.0 per week

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off

Application Question(s):

• Have you deployed AI or ML systems into production that were used by a business team ?
• Describe one AI system you owned end-to-end in production:

Experience:

• AI Systems Engineer: 3 years (Preferred)

Work Location: In person