Hire MCP developers

Juan Patricio is a full-stack AI engineer working mainly in TypeScript, Node.js, React, and AWS. He recently built a HIPAA-compliant voice assistant for parents of neurodivergent children, with phone and SMS access, location-aware search, and Redis caching that cut API costs by 60%; earlier he built an AI legal-doc platform that processed 500+ formations in 6 months.

Ayodele is an AI engineer working in Python, LangGraph, and RAG who builds production agent systems and evaluation pipelines. He recently shipped a semantic search agent for a content platform, built durable orchestration for 100+ concurrent agent runs, and designed RLHF-style test suites that caught model regressions before release.

Vinay is a Python and FastAPI AI engineer who builds production RAG and multi-agent systems. He led a healthcare knowledge system over 100,000+ policy documents with hybrid retrieval and citation controls, and cut LLM cost per interview by 35% on a multilingual voice hiring platform through observability, caching, and eval pipelines.

Marcello is an AI engineer who works in Python, LangChain, and RAG, recently building an extractor agent that turns PDFs, images, and spreadsheets into structured data with a regression-tested benchmark suite. Earlier he built reinforcement learning agents with human-like gameplay for a major game studio.

Gerard is an AI engineer working in Python, LangGraph, and Azure who builds production agent systems. He recently led a voice-first clinical documentation platform for senior living, with multi-agent gap analysis, PHI-aware workflows, offline PWA support, and tenant-scoped data isolation; he also built a 12-agent audiobook pipeline that cut per-book cost from $28 to $5.

Mehmet is a Python AI engineer who builds RAG and agent infrastructure for regulated finance. Recently he owned the knowledge layer for forecasting agents, ingesting code, docs, chat, and drive data into retrieval APIs; earlier he built a contract review system that used OCR and semantic search across thousands of legal documents.

Federico is a Python AI engineer who builds LangGraph and RAG systems for regulated workflows. He architected an HR SaaS where specialized agents automate up to 70% of daily operations for thousands of users, cut hallucinations by 40%, and reduced inference costs by 60%; he also built a bilingual legal copilot that tracks law changes and supports contract review.

Angelos is an AI engineer building Python and AWS systems for retrieval, recommendation and editorial tooling. He helped build a media group's AI platform from scratch, cutting £120K a year by replacing a third-party GenAI stack, and led a research assistant over 2M+ documents with entitlement-aware answers that grew engagement 10% month on month.

Luiz is a Ruby on Rails engineer who has spent 22 years building high-stakes systems, from nationwide court software used by over 200 million people to a customer analytics platform on Rails, React, Spark, and Kubernetes. More recently, he built a transcript-based video editing assistant that cut editing time by over 70%.