Vetted Pinecone Professionals

Pre-screened and vetted.

NS

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

Tel-Aviv, Israel4y exp
FreelanceLangChain Official Developer Meetup
View profile
MF

Mid-Level Software Engineer specializing in cloud data platforms and CI/CD

AI/LLM engineer who has owned end-to-end production delivery of multi-agent RAG systems on Azure (React + FastAPI + data pipelines + Terraform), including rigorous evaluation/monitoring and reliability guardrails. Shipped an AI-driven observability root-cause analysis assistant that reduced MTTR ~30%, cut alert noise ~20%, and reached ~70% adoption in the first month; also built a clinical document Q&A system with citations and compliance-oriented controls.

View profile
SR

Entry-level Generative AI Developer specializing in LLM agents and RAG systems

Patna, India1y exp
Mobirizer ServicesLakshmi Narain College of Technology
View profile
SM

Junior Full-Stack Developer specializing in web apps, cloud, and cybersecurity

Aiken, SC2y exp
University of South Carolina AikenUniversity of South Carolina Aiken
View profile
Rutvi Rathod - Junior Full-Stack Software Engineer specializing in AI and web applications in San Jose, CA

Rutvi Rathod

Screened

Junior Full-Stack Software Engineer specializing in AI and web applications

San Jose, CA1y exp
FreelanceChhotubhai Gopalbhai Patel Institute of Technology

LLM/AI backend engineer with hands-on experience taking customer LLM prototypes into production using FastAPI, containerization, CI/CD, and OpenTelemetry-based observability. Demonstrated measurable impact by cutting LLM costs ~40% and reducing workflow errors ~50% through schema-enforced outputs, better tool definitions, retries, and prompt/model optimization; also supports pre-sales via technical discovery and rapid integration demos.

View profile
Kumar Manik - Intern AI Engineer specializing in LLMs, MLOps, and RAG systems

Kumar Manik

Screened

Intern AI Engineer specializing in LLMs, MLOps, and RAG systems

0y exp
Elevate LabsBarkatullah University

Built and shipped a production-grade RAG-powered news summarization and Q&A product, tackling real-world issues like retrieval drift, hallucinations, latency, and autoscaling deployment (Docker + FastAPI + Streamlit Cloud). Experienced in end-to-end ML/LLM workflow automation using Airflow, Kubeflow Pipelines, and MLflow, and has demonstrated business impact (40% inference precision improvement) through close collaboration with non-technical stakeholders at Evoastra Ventures.

View profile

Need someone specific?

AI Search