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
- Design, prototype, and deliver generative AI solutions leveraging 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
- 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 or 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
generative AIPythonSQLRAG pipelinesLLMsembeddingsMLOpsAPIsmicroservicesdata governance
Soft skills
collaborationcommunicationmentoring
Certifications
Bachelor’s degree in computer scienceBachelor’s degree in data engineering
