Gen AI Engineer (Mandarin Speaker)

Glint Tech Solutions; Phoenix (AZ); On-site; USD 140,000 - 190,000; Full time

Job summary

Glint Tech Solutions is hiring a Gen AI Engineer for an onsite role in Phoenix, AZ. You will design, build, and deploy AI-powered solutions using LLMs, Knowledge Graphs, and RAG frameworks.

Role requires fluent Mandarin and strong Python skills, plus hands-on LangChain/LangGraph experience. You will deploy on Azure/AWS/GCP and collaborate with stakeholders in Mandarin and English.

Qualifications

• Fluent Mandarin and professional English communication.
• Strong Python programming skills.
• Hands-on experience with LangChain / LangGraph.
• Experience with Neo4j and Knowledge Graphs.
• Experience with vector databases and RAG frameworks.
• Prompt engineering and NLP expertise.
• Understanding of Generative AI architectures.
• Cloud deployment on Azure, AWS, or GCP.

Responsibilities

• Build intelligent applications powered by Large Language Models and AI agents.
• Integrate Knowledge Graphs with LLMs for stronger reasoning and contextual responses.
• Develop vector search and semantic retrieval solutions.
• Optimize prompts and model performance.
• Deploy scalable AI solutions on Azure, AWS, or GCP.
• Work in Mandarin and English with stakeholders and team members.

Skills

Mandarin fluency

Python

LangChain / LangGraph

Neo4j

Vector databases

Prompt engineering

Generative AI architectures

Cloud deployment

Job description

We're Hiring: Gen AI Engineer (Mandarin Speaker)

Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm. We're partnering with a leading enterprise client to hire a Gen AI Engineer for an onsite role in Phoenix, AZ.

Location

Phoenix, Arizona (Onsite)

Employment Type

W2

Language Requirement

Fluency in Mandarin (spoken and written) is required

Role Overview

You'll design, build, and deploy AI-powered solutions using LLMs, Knowledge Graphs, RAG frameworks, and AI agents.

Key Responsibilities

• Build intelligent applications powered by Large Language Models and AI agents
• Integrate Knowledge Graphs with LLMs for stronger reasoning and contextual responses
• Develop vector search and semantic retrieval solutions
• Optimize prompts and model performance
• Deploy scalable AI solutions on Azure, AWS, or GCP
• Work in Mandarin and English with stakeholders and team members

Must-Have Skills

• Fluent Mandarin and professional English communication
• Strong Python programming
• Hands-on experience with LangChain / LangGraph
• Experience with Neo4j and Knowledge Graphs
• Experience with vector databases and RAG frameworks
• Prompt engineering and NLP
• Solid understanding of Generative AI architectures
• Cloud deployment experience on Azure, AWS, or GCP