Machine Learning Engineer

TechDoQuest

Cupertino, California, United States

Cupertino, California, United States

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About

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 understand customer workflows and translate them into actionable technical solutions

Cupertino, California, United States

Languages

English

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