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Vetted Material UI Professionals

Pre-screened and vetted.

PP

Mid-Level Full-Stack Software Engineer specializing in AI and data platforms

Champaign, IL3y exp
University of IllinoisUniversity of Illinois Urbana-Champaign
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SV

Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and AI personalization

Remote, USA4y exp
SpotifyNorthwest Missouri State University
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SP

Mid-level Java Full-Stack Developer specializing in microservices for banking and insurance

CA, USA5y exp
JPMorgan ChaseUniversity of Central Florida
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DT

Mid-Level Software Engineer specializing in Full-Stack Development and FinTech

USA4y exp
JPMorgan ChaseSacred Heart University
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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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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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MN

mahesh narne

Screened

Senior Full-Stack Software Engineer specializing in cloud-native microservices and web apps

San Jose, CA3y exp
PayPalUniversity of Central Missouri

Backend-focused engineer building customer support/order-tracking platforms with Java 17/Spring Boot microservices and a React/TypeScript frontend. Deep experience running event-driven systems on Kubernetes (Kafka, Redis, MySQL) with strong observability (Prometheus/Grafana/Splunk), SLOs, and safe deployment practices (feature flags, canaries). Also built an internal monitoring/debugging dashboard that consolidated metrics and logs for on-call engineers and was adopted by other teams to speed incident response.

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SL

Shon Little

Screened

Director-level Software Engineering Leader specializing in AI platforms and full-stack cloud systems

Remote19y exp
Dance Studio Owners AssociationUniversity of Nebraska at Kearney

Engineering leader with BCG consulting background who has built roadmaps and scaled AI and data platforms for pharma and manufacturing clients. Led architecture shifts (Django monolith to event-driven microservices) for high-volume IoT SaaS products, improving deployment speed and enabling zero-downtime releases. Also established a near-shore engineering team in São Paulo and has managed distributed teams across multiple countries, leveraging strong stakeholder communication and a prior professional acting background for storytelling.

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SR

Mid-Level Full-Stack Software Engineer specializing in microservices and fraud detection

Texas, USA4y exp
PayPalUniversity of North Texas
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TH

Senior Software Engineer specializing in web and mobile applications

Warren, MI13y exp
Thrive MarketUniversity of South Florida
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SK

Mid-level Full-Stack Developer specializing in Python, React, and cloud-native AI microservices

San Francisco, CA6y exp
ShopifySaint Louis University
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SA

Mid-Level Software Engineer specializing in cloud-native backend and LLM/RAG systems

New York, NY3y exp
LOCOMeXNYU
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