Gen AI Engineer (Mandarin Speaker)

Glint Tech Solutions • English: B2 • Python • 4 days ago
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Salary
≈ $124k – $271k per year (Estimated)
Location
In office (Phoenix)

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 15, 2026.

Overview
Company
Impact
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Glint Tech Solutions

Glint Tech Solutions is a women-owned IT staffing and recruiting firm that sources contract and direct-hire talent for enterprise clients, alongside an AI hiring product it markets as Glinto AI. Its postings cover client projects across the United States and Canada, from New York, Sunnyvale, Santa Clara and Reston to Toronto, and some defense roles require an active DoD Secret clearance. Open positions are mostly placements at client companies, including software and DevOps engineers, embedded and field application engineers, product managers, data center cooling sales staff and regulatory reporting analysts.
glinttechsolutions.com • New York • San Francisco • Chicago • Washington • Noida • IT Staffing & Staff Augmentation

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

Interested candidates can apply by sending their resume to [email protected]

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