AI Engineer

• 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.

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