Vetted Material UI Professionals

Pre-screened and vetted.

SR

Mid-level Full-Stack Developer specializing in scalable web applications

4y exp
MicrosoftWestern Governors University
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OA

Senior Frontend Developer with React.js and MERN stack expertise

Antioch, CA17y exp
AdobeUniversity of the People
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BE

Junior Software Engineer specializing in full-stack and mobile product development

Mississauga, Canada2y exp
PurolatorUniversity of Waterloo
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LB

Senior Full-Stack Engineer specializing in real-time healthcare and web platforms

Pensacola, FL10y exp
AccentureUniversity of Texas at Austin
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AG

Senior Full-Stack & AI/ML Engineer specializing in cloud-native platforms and LLM systems

OR, US11y exp
NikeUniversity of Illinois Urbana-Champaign
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SV

Mid-level Full-Stack Developer specializing in FinTech and fraud detection

Remote, USA4y exp
DatabricksSaint Louis University
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JR

Mid-level Full-Stack Engineer specializing in React and Java microservices

New York, United States5y exp
UberFullstack Academy
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VG

Mid-level Full-Stack Engineer specializing in cloud-native microservices and data integrations

5y exp
Johnson & JohnsonPurdue University
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SL

Senior Full-Stack Engineer specializing in cloud microservices on AWS

6y exp
AmazonUniversity of Missouri-Kansas City
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VN

Mid-level Software Engineer specializing in FinTech platforms

USA4y exp
CitigroupUniversity at Buffalo
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MM

Meet Merchant

Screened

Mid-level Software Engineer specializing in LLM agents and full-stack systems

Redlands, California3y exp
EsriUC Irvine

At Esri, the candidate is building a production LLM-powered WebGIS AI framework that embeds an AI assistant into web maps and routes natural-language requests into ArcGIS JavaScript SDK functions via a LangGraph-orchestrated, multi-agent system. They emphasize production reliability and scale (strict tool calling/JSON, live schema validation, query guardrails) and rigorous evaluation/observability using LangSmith, offline prompt datasets, and latency/tool-call accuracy tracking.

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