Principal Ai Product Engineer

Premier Foods

Remote
Base: $141,000 - $234,000; bonus/equity: not speci...
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Scalable ai capabilities
Reusable ai components
Conversational ai
** Premier Foods is seeking a Principal AI Product Engineer to lead the design and implementation of scalable AI capabilities across their product portfolio. The ideal candidate will have extensive experience in AI/ML engineering, particularly with Databricks, and will work remotely to create enterprise-ready AI infrastructure. **

Job Summary

  • Design and implement scalable AI capabilities across Premier Foods' product portfolio, turning advanced models into reusable components.
  • Establish integration patterns for technologies such as conversational AI, RAG, vector search, and model orchestration leveraging the Databricks platform.
  • Accelerate the delivery of AI-powered features by standardizing infrastructure, creating shared services, and defining governance, monitoring, and evaluation frameworks.

Matching Summary

Match Score: 75

** Premier Foods is seeking a Principal AI Product Engineer to lead the design and implementation of scalable AI capabilities across their product portfolio. The ideal candidate will have extensive experience in AI/ML engineering, particularly with Databricks, and will work remotely to create enterprise-ready AI infrastructure. **

Salary

Base: $141,000 - $234,000; Bonus/Equity: Not specified; Benefits: Health, dental, vision, life and disability insurance, 401k retirement program, Paid time off, Employee incentive plans, Tuition reimbursement

Skills & Requirements

Must-have

  • Scalable AI capabilities
  • Reusable AI components
  • Conversational AI
  • RAG and vector search
  • Model orchestration
  • Databricks platform expertise
  • Enterprise-ready AI infrastructure

Nice-to-have

  • AI governance frameworks
  • Model evaluation frameworks
  • Production-ready AI systems
  • API-first architectures
  • Shared platforms and SDKs
  • Cloud-native architectures

Key Requirements

  • 10 or more years of applicable experience
  • Bachelors degree required
  • 8+ years engineering experience
  • Deep experience with Databricks platform architecture
  • Hands-on experience implementing Genie
  • Experience designing RAG pipelines and model-serving architectures
  • Strong backend engineering expertise (Python required)
  • Experience designing shared services or internal platforms
  • Strong understanding of governance, lineage, model evaluation, and AI reliability

Work Rights

Not specified

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