Parts Town

Lead Data GenAI Engineer

Parts Town

full-time

Posted on:

Location Type: Hybrid

Location: Addison • Illinois, New York • 🇺🇸 United States

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Salary

💰 $103,502 - $139,681 per year

Job Level

Senior

Tech Stack

BigQueryCloudERPGoogle Cloud PlatformJavaScriptMicroservicesNode.jsPythonSQL

About the role

  • Design, prototype, and deliver generative AI solutions that leverage Parts Town’s enterprise data on GCP (or other AI platforms as needed)
  • Develop and optimize generative AI applications (e.g., copilots, search assistants, summarization tools)
  • Implement retrieval-augmented generation (RAG) pipelines using enterprise data sources
  • Fine-tune LLMs (Vertex AI, OpenAI, Anthropic, LLaMA) for Parts Town–specific use cases
  • Build pipelines to structure unstructured data (manuals, product catalogs, customer tickets)
  • Create embeddings and manage vector databases (BigQuery Vector, Pinecone, Weaviate, ChromaDB)
  • Partner with Data Engineers to ensure AI-ready data assets are available and governed
  • Work with MLOps to deploy GenAI solutions into production with monitoring, retraining, and drift detection
  • Develop APIs and microservices for embedding AI into ERP, Salesforce, eCommerce, WMS/Ops, and customer service apps
  • Apply guardrails to mitigate hallucinations, bias, and data leakage
  • Evaluate emerging tools (LangChain, LlamaIndex, Vertex AI GenAI stack) and recommend adoption
  • Share best practices and mentor peers on GenAI engineering approaches

Requirements

  • 5+ years in Data Engineering, AI/ML Engineering, or related roles, with direct experience in generative AI
  • Proficient in Python, SQL (JavaScript/Node.js a plus)
  • Experience with LLMs (training, fine-tuning, embeddings, RAG pipelines)
  • Hands-on with GCP (Vertex AI, BigQuery, Cloud Run, GKE) and/or other GenAI platforms (OpenAI, Anthropic, Hugging Face)
  • Familiar with vector databases and semantic search
  • Understand MLOps practices for deploying and monitoring GenAI solutions
  • Strong collaboration and communication skills to partner with Product, Engineering, and Business teams
  • Bachelor’s degree in computer science, data engineering, or related field. Will also accept candidates with proven experience outside of degree.
Benefits
  • Quarterly profit-sharing bonus
  • Hybrid Work schedule
  • Team member appreciation events and recognition programs
  • Volunteer opportunities
  • Monthly IT stipend
  • Casual dress code
  • On-demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses
  • Health insurance
  • 401k/401k match
  • Employee assistance programs
  • Paid time off
  • Paid sick time off
  • Paid holidays
  • Paid parental leave
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
generative AIPythonSQLJavaScriptNode.jsLLMsRAG pipelinesMLOpsAPIsmicroservices
Soft skills
collaborationcommunicationmentoring