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Vetted Engineering Professionals
Pre-screened and vetted.
Popular Titles
Senior Python Developer specializing in FinTech and RegTech payment systems
Senior Software Engineer specializing in AI systems and real-time distributed platforms
Staff Full-Stack Software Engineer specializing in cloud platforms and real-time health data
Junior Software Engineer specializing in AI/ML and recommendation systems
Staff Software Engineer specializing in ML infrastructure and data platforms
Senior Software Engineer specializing in cloud platforms, AI systems, and EdTech
Senior Software Engineer specializing in Java backend and OLAP systems for Ads platforms
Senior Full-Stack Software Engineer specializing in cloud-native web platforms and FinTech
Mid-Level Software Engineer specializing in Search, Ads, and Shopping systems
Senior Software Engineer specializing in AI infrastructure and distributed systems
Senior Software Engineer specializing in full-stack systems and ML-driven platforms
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Senior Backend Software Engineer specializing in cloud platforms and event-driven systems
Senior Full-Stack Software Engineer specializing in Mobile and AR/VR platforms
Staff Full-Stack Software Engineer specializing in cloud platforms and healthcare data pipelines
Senior VR Engineer specializing in Unity game systems and multiplayer experiences
Senior Full-Stack Software Engineer specializing in SaaS, FinTech, and Web3
Senior Software Engineer specializing in ML, distributed systems, and GenAI search
Senior Software Engineer specializing in DevOps and CI/CD infrastructure reliability
Senior Full-Stack Software Engineer specializing in AI-powered distributed systems
Senior Full-Stack Engineer specializing in AI and GenAI platforms
Nathan Telles
Staff Software Engineer specializing in distributed systems, cloud platforms, and AI services
“Meta engineer who owned end-to-end production systems for AI-enabled smart glasses, spanning React/TypeScript apps through Node/Java microservices on AWS EKS with Kafka/Postgres. Built and productionized a real-time RAG pipeline (LangChain + OpenAI + Elasticsearch) with rigorous guardrails (shadow/canary, fallbacks, monitoring), delivering major improvements in latency (~35–40%), error reduction (~30%), and engagement (reported +40% DAU).”