Vetted Backend Software Engineers in New York

Pre-screened and vetted in New York.

WJ

Junior AI/ML Engineer specializing in LLMs, RAG, and document intelligence

New York, NY2y exp
CompScienceColumbia University
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BP

Junior Technology Strategy Consultant specializing in cloud and enterprise transformation

New York, New York3y exp
PwCGeorgia Tech
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VG

Mid-Level Backend Engineer specializing in AI/LLM systems

Syracuse, NY6y exp
UberSyracuse University
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Ishaan Nanal — Junior Software Engineer specializing in backend systems and AI/ML in Ithaca, NY

Ishaan Nanal

Screened

Junior Software Engineer specializing in backend systems and AI/ML

Ithaca, NY1y exp
QuorAgraCornell University

Built a RAG-based AI research copilot for technical documents, implementing a Next.js/TypeScript frontend with route-based organization (/, /chat, /settings) and an API-driven thin-client approach; product has been used with a lightweight frontend and is being iterated toward a fuller release. Also designed and optimized Postgres schemas and queries for biological dataset analytics at a seed-stage startup, emphasizing pragmatic speed/quality tradeoffs and end-to-end ownership.

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CH

Senior Full-Stack Engineer specializing in LLM applications and cloud-native systems

New York, NY12y exp
LuxoftUniversity of North Texas at Dallas
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JD

Senior Backend Developer specializing in AWS-native Python systems and data workflows

Brooklyn, NY11y exp
EquipUniversity of Washington
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Isha Harne — Intern Software Engineer specializing in ML applications and LLM platform engineering in New York, NY

Isha Harne

Screened

Intern Software Engineer specializing in ML applications and LLM platform engineering

New York, NY1y exp
Binghamton UniversityBinghamton University

Full-stack engineer who builds and scales customer-facing and internal AI products end-to-end (React/TypeScript/FastAPI/MongoDB) with strong product instrumentation and rapid MVP iteration. Built an AI-powered code review assistant adopted across teams and integrated into CI/CD, reducing manual review time by 30%+, and has hands-on experience with LLM retrieval/reasoning systems (LangChain + FAISS) and microservices scaling using RabbitMQ, Docker, and AWS.

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YM

Yang MA

Screened

Junior Backend Software Engineer specializing in search, data systems, and LLM applications

New York, NY2y exp
Bevel HealthUniversity of Pittsburgh

Built a contract and customer documentation retrieval solution for Urban Studio, designing a RAG + Elasticsearch hybrid search stack (RRF + cross-encoder reranking) with a strong emphasis on chunking/data quality and hallucination reduction. Experienced in diagnosing LLM workflow issues via observability traces and tailoring technical demos to developer concerns like reliability and high concurrency.

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EM

Ergi Mema

Screened

Junior Backend Software Engineer specializing in Java Spring Boot and PHP Laravel

Queens, NY3y exp
2RM LabAgricultural University of Tirana

Built and shipped a production LLM-powered document processing agent (ingestion→OCR→LLM extraction/classification→validation→DB/workflow triggers) using Kafka and PostgreSQL. Emphasizes production reliability with strict JSON schemas, idempotent services, retries/backoff, fallback models, and human-in-the-loop review—driving ~90% automation, minutes-to-seconds processing, and ~10x throughput.

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