Parts Town

AI Platform Engineer (Hybrid work schedule)

Parts Town$121K — $163K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data modeling and relational design
  • Proficient in Python and SQL for scalable transformation logic
  • Experience in building and maintaining production-grade data pipelines
  • Familiarity with cloud data platforms, especially GCP
  • Systems-thinking mindset focused on governance and architectural clarity
  • Experience with machine learning or AI systems
  • Strong communication skills for technical and non-technical audiences

Responsibilities

  • Design and maintain AI-serving data pipelines for production workflows
  • Develop structured data models and transformation logic for AI systems
  • Support ontology development and governance in enterprise platforms
  • Collaborate with Enterprise Data team on alignment with data standards
  • Enhance reliability and performance monitoring of data practices
  • Work with Applied AI Engineers for seamless AI integration
  • Establish reusable data and semantic patterns for scalable AI solutions

Benefits

  • Quarterly profit-sharing bonus
  • Hybrid work schedule
  • Team member appreciation events
  • Volunteer opportunities
  • Casual dress code
  • On-demand pay options
  • Comprehensive health, dental, and vision insurance
  • 401(k) with matching contributions
  • Paid time off and holidays
  • Paid parental leave and employee assistance programs
Full Job Description
Position at Parts Town

Perks
  • Parts Town Pride - check out our virtual tour and culture!
  • Quarterly profit-sharing bonus
  • Hybrid Work schedule
  • Team member appreciation events and recognition programs
  • Volunteer opportunities
  • Casual dress code
  • On-demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses
  • All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away - don't worry, we've got you covered.


The Job at a Glance

We're looking for an AI Platform Engineer to help bridge our data platform and emerging AI ecosystems. This role sits at the intersection of our GCP-based data warehouse and semantic layer and a growing set of AI-driven applications and workflows.

You'll focus on making systems work together, enabling data to flow cleanly into AI use cases, and helping evolve our platform to support more intelligent, automated workflows.

A Typical Day
• Build and refine integrations between our GCP data warehouse, semantic layer, and downstream systems
• Develop or modify APIs to make data and services more accessible to AI-driven applications
• Create connectors and lightweight services that enable systems to interact programmatically
• Work with data models and datasets to ensure they're usable for both analytics and AI use cases
• Troubleshoot how data and services move across systems and improve reliability and performance
• Partner with data, platform, and application teams to understand requirements and unblock use cases
• Contribute to pragmatic design decisions that improve interoperability without over-engineering

To Land This Opportunity
• You have strong programming skills (Python preferred, with other languages as a plus).
• You have strong SQL skills and are comfortable working directly with data in a warehouse environment.
• You have experience building APIs (REST, gRPC, or similar).
• You have experience with orchestration or workflow tools (such as Airflow)
• You have experience building and maintaining production-grade data pipelines
• You have experience working with cloud data platforms (GCP preferred)
• You have experience supporting ML- or AI-driven systems
• You have familiarity with data warehouses and core data modeling concepts.
• You have a systems-thinking mindset with attention to governance, abstraction, and architectural clarity
• You have strong communication skills with experience articulating technical concepts to both technical and non-technical stakeholders
• You have experience with enterprise data platforms
• You are familiar with infrastructure-as-code or modern DevOps practices
• You've worked with semantic or metrics layers.

About Your Future Team

The AI team is a hands-on, high impact group dedicated to building AI solutions that get used. We partner closely with teams across the business, data, and engineering to turn real-world problems into smart, practical systems. It's a fast-moving environment where you'll have real ownership, work alongside curious and collaborative teammates, and be encouraged to try new ideas and iterate quickly. In this role, you'll help shape how AI comes to life across the organization and be part of defining where this capability goes next.

At Parts Town, we value transparency and are committed to ensuring our team members feel appreciated and supported. We prioritize our positive workplace culture where collaboration, growth, and work-life balance are celebrated. The salary range for this role is $121,315.97-$163,720.39/annually which is based on including but not limited to qualifications, experience, and geographical location. Parts Town is a pay-for performance company. In addition to base pay, some roles offer a profit-sharing program, and an annual bonus depending on the role. Our comprehensive benefits package includes health, dental and vision insurance, 401(k) with match, employee assistance programs, paid time off, paid sick time off, paid holidays, paid parental leave, and professional development opportunities.

About Parts Town

Parts Town is a leading distributor of genuine OEM (original equipment manufacturer) foodservice equipment parts. The company was founded in 1987 and is headquartered in Addison, Illinois. Parts Town offers a wide selection of parts for commercial kitchen equipment, including refrigerators, ovens, and dishwashers. The company serves customers in the United States, Canada, and Europe. Parts Town has been recognized as one of the fastest-growing companies in the United States by Inc. magazine and has received numerous awards for its customer service and workplace culture.
Learn more about Parts Town
Size
1,000 employees
Industry
Founded
1987
5 Year Trend
+50%
Revenue
$500 million

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