Design and build an agentic AI platform to manage renewable energy certificates and automate related workflows. Collaborate across teams to integrate the platform, optimize user onboarding, and iterate based on feedback and metrics.
About the role
- Lead Data GenAI Engineer designing and delivering generative AI solutions for Parts Town. Collaborate with cross-functional teams to optimize data applications and enhance business workflows.
Responsibilities
- 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
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