AiMl Engineer
Job Location:
Cupertino, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
20 hours ago
Vacancies:
1 Vacancy
Job Summary
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
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 understand customer workflows and translate them into actionable technical solutions
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 understand customer workflows and translate them into actionable technical solutions