Lead Gen AI Engineer
Parts Town
BigQueryCloudERPGoogle Cloud PlatformJavaScriptMicroservicesNode.jsPythonSQL
Lead Gen AI Engineer
Parts Town
full-time
Posted on:
Location Type: Hybrid
Location: Addison • Illinois, New York • 🇺🇸 United States
Visit company websiteSalary
💰 $107,815 - $137,045 per year
Job Level
Senior
Tech Stack
BigQueryCloudERPGoogle Cloud PlatformJavaScriptMicroservicesNode.jsPythonSQL
About the role
- 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
- Ensure solutions are performant and aligned with enterprise integration frameworks
- Apply guardrails to mitigate hallucinations, bias, and data leakage
- Ensure compliance with Parts Town’s AI governance framework and data privacy regulations (GDPR, CCPA, EU AI Act)
- Partner with the AI Council to align GenAI use cases with enterprise priorities
- Evaluate emerging tools (LangChain, LlamaIndex, Vertex AI GenAI stack) and recommend adoption
- Build reusable components (prompt templates, connectors, orchestration patterns) to accelerate adoption across teams
- 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
- All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
generative AIretrieval-augmented generationfine-tuning LLMsPythonSQLMLOpsAPIsmicroservicesembeddingsvector databases
Soft skills
collaborationcommunicationmentoring
