Machine Learning Engineer (Cupertino)

Build and optimize RAG pipelines, vector databases, embeddings, and document-processing workflows

Design agentic AI systems — including tool calling, orchestration, reasoning loops, and workflow automation

Develop Applied AI solutions that integrate with customer backend systems, APIs, and data sources

Implement AI services on Kubernetes, cloud environments, or customer-controlled infrastructure

Work directly with customers to deliver high-quality technical implementations, demos, and documentation

(Good to have) Integrate AI workflows with PLM systems or enterprise knowledge platforms

REQUIRED SKILLS

Strong experience with LLMs and agent frameworks such as LangChain, LlamaIndex, or custom-built solutions

Expertise in Python, vector databases (Elastic, Milvus, Pinecone, etc.), embeddings, and chunking strategies

Hands-on experience with Kubernetes, Docker, and scalable API deployment

Ability to understa...