AI ApplydAIAPPLYD

Machine Learning Engineer

TechDoQuest

Cupertino, USonsitePosted Jul 20, 2026
Posting intelligenceActively listedReposted 2×, possible evergreen/ghost posting

Skills

kuberneteslangchaindockerpython

About the role

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

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