Vetted Retrieval-Augmented Generation (RAG) Professionals

Pre-screened and vetted.

HM

Mid-Level Full-Stack Developer specializing in React/Next.js, FastAPI, and LLM/RAG tools

Dallas, TX3y exp
DataCloudTekCleveland State University
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DG

Junior Backend & ML Engineer specializing in Golang microservices and LLM/RAG systems

Hyderabad, India2y exp
VitwitICFAI University
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AT

Senior AI/ML Engineer specializing in FinTech and SaaS

Orient, OH8y exp
PaklogicsWalsh University
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LP

Mid-level R&D Engineer specializing in applied AI, experimentation, and cloud-integrated prototypes

San Antonio, TX3y exp
FacilityForceCalifornia State University, Dominguez Hills
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OR

Junior Product Support Engineer specializing in SDK integration, REST APIs, and Linux/AWS support

Pune, India3y exp
UnikenRMD Sinhgad School of Engineering
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MN

Mid-level Full-Stack AI Engineer specializing in RAG systems and intelligent automation

Ottawa, Canada3y exp
ABC TeknologiesPir Mehr Ali Shah Arid Agriculture University Rawalpindi
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SA

Mid-level Software Engineer specializing in full-stack and FinTech systems

Austin, TX3y exp
TechMentee IncCalifornia State University, Fullerton
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BH

Senior Full-Stack Engineer specializing in AI and Healthcare IT

Lahore, Pakistan5y exp
AllZone TechnologiesSuperior University
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BV

Intern Full-Stack Software Engineer specializing in web platforms and IoT

Remote1y exp
DevSecBellevue College
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SS

Mid-level Backend Engineer specializing in Python APIs, microservices, and PostgreSQL

Kathmandu, Nepal3y exp
Ramailo TechTribhuvan University
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ZB

Mid-Level Full-Stack Software Engineer specializing in AWS and RAG pipelines

Wappingers Falls, NY5y exp
BurrowLaunch School
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MN

Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision

United States8y exp
PaklogicsGovernment College University, Faisalabad
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MN

Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision

United States8y exp
PaklogicsGovernment College University, Faisalabad
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SY

Mid-level AI Engineer specializing in LLMs, RAG, and enterprise compliance & fraud systems

Bangalore, India3y exp
KreesalisRajasthan Technical University
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HM

Mid-level Full-Stack Engineer specializing in AI-powered platforms

Remote4y exp
Jobs n Profiles LLCEastern Illinois University
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NA

Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision

United States8y exp
PaklogicsGovernment College University, Faisalabad
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HC

Mid-Level Full-Stack Engineer specializing in AI platforms and multi-tenant SaaS

New York, New York2y exp
Property Gauge
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BN

Mid-level Machine Learning Engineer specializing in Generative AI and healthcare NLP

Remote, CT2y exp
FluteSpaceUniversity of New Haven
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AungKaung Khant - Junior Software Engineer specializing in full-stack web and IoT development in Cupertino, CA

Junior Software Engineer specializing in full-stack web and IoT development

Cupertino, CA3y exp
Cupertino STEM LabDe Anza College

Computer Science student and indie hacker who builds open-source products in public, including a Chrome extension called "Add to ChatGPT" that reached 30+ installs in its first week. Has hands-on experience with full-stack social platform development and AI-integrated side projects, with a strong pattern of self-teaching, rapid shipping, and iterative bug fixing.

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NS

Mid-level AI Software Engineer specializing in LLM agents and RAG systems

Tel-Aviv, Israel4y exp
FreelanceLangChain Official Developer Meetup
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DY

Entry-Level Software Engineer specializing in backend services and applied ML

Orlando, FL0y exp
University of North FloridaUniversity of North Florida
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MM

Entry Backend Software Engineer specializing in Python/FastAPI and cloud-native APIs

Milpitas, CA0y exp
California State University, ChicoCalifornia State University, Chico

Backend engineer who built and evolved a low-latency document search platform (C++/gRPC on Kubernetes with a vector database), emphasizing resilience under concurrent load through strict deadlines, retries, idempotency, and observability. Also experienced building secure, frontend-friendly FastAPI services (Pydantic + JWT) and executing safe incremental refactors using feature flags and parallel validation.

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