AI Systems Engineer

Job Overview
We are seeking a highly skilled AI Systems Engineer (Marketing & Operations) to help build the next generation of intelligent systems across our organization.

You will architect and train AI agents that support key business functions, including demand forecasting, content generation, PPC optimization, compliance-safe marketing output, and cross-department workflow automation. You will collaborate with Marketing, Sales, Compliance, R&D, Production, and Procurement to deploy AI systems that run reliably at scale.

This is a unique opportunity to establish the company's AI foundation and create high-impact automation that drives efficiency, accuracy, and growth.

Duties

• Design and optimize multi-agent AI systems using frameworks like LangGraph, AutoGen, CrewAI, or DSPy to support marketing and operational workflows.
• Develop LLM fine-tuning pipelines, RAG systems, and domain-specific knowledge bases to ensure accuracy and compliance in generated content.
• Build forecasting models using tools such as Prophet, XGBoost, or similar frameworks to deliver precise demand and sales predictions.
• Implement AI-driven PPC optimization across Google Ads and Meta Ads, automating bid adjustments, targeting, and creative performance.
• Generate and refine ad copy, email sequences, and video scripts through compliant AI content pipelines.
• Integrate AI workflows with internal systems such as ERP, CRM, MES, QMS, and automation platforms (Klaviyo, HubSpot, Google Ads API, etc.).
• Build and maintain ETL/ELT data pipelines to ensure agents have accurate, real-time data inputs.
• Rigorously test, validate, and refine AI agent behavior for reliability, consistency, and production performance.
• Develop internal dashboards, monitoring tools, and performance reports to track impact and ROI.
• Maintain a clear audit trail for AI-generated decisions to support operational and regulatory transparency.

Skills

• Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, HuggingFace, or LangChain.
• Hands-on experience with agentic AI systems and workflow orchestration.
• Solid understanding of marketing analytics: CTR, ROAS, CAC, attribution, and A/B testing automation.
• Experience with digital advertising platforms and related API integrations (Google Ads, Meta Ads, Klaviyo, HubSpot).
• Familiarity with AWS, GCP, or Azure for scalable AI deployment.
• Experience building data pipelines using SQL, Spark, Airflow, or equivalent tools.
• Knowledge of vector databases, retrieval systems, and RAG architectures.
• Ability to convert scientific formulations and R&D insights into compliant, consumer-friendly messaging.
• Understanding of FDA/FTC compliance guidelines related to marketing claims.
• Experience with forecasting techniques and statistical tools such as pandas, NumPy, scikit-learn, or similar.
• Strong problem-solving skills with the ability to deliver end-to-end AI solutions in a fast-moving environment.

Schedule

• Full-time, on-site (no remote)
• Monday – Friday: 8 am- 4:30 pm
• Overtime as needed

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: $ $60.00 per hour

Expected hours: No less than 40.0 per week

Benefits:

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

Experience:

• AI Systems Engineer: 3 years (Preferred)

Work Location: In person