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Vetted Amazon S3 Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in agentic AI and full-stack LLM systems
Staff Software Engineer specializing in data platforms, distributed systems, and AI workflows
Senior Full-Stack Engineer specializing in integrations, microservices, and data platforms
Staff AI/ML Technical Leader specializing in LLM agents, ranking, and large-scale NLP platforms
Senior Applied AI Engineer specializing in recommendation, search, and ML platforms
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
Staff Data Scientist specializing in machine learning, deep learning, and big data
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Executive AI/ML Engineer specializing in LLMs, NLP, and production ML systems
Senior Software Engineer specializing in AI infrastructure and distributed systems
Staff Machine Learning Scientist specializing in NLP, LLMs, and Generative AI
Senior Software Engineer specializing in full-stack systems and ML-driven platforms
Staff AI/ML Engineer specializing in LLMs, fraud detection, and MLOps
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 AI-powered distributed systems
Senior Full-Stack Engineer specializing in AI and GenAI platforms
Executive Technology Leader specializing in cloud, datacenter operations, and AI strategy
Chase Bradley
Staff AI Engineer specializing in LLM systems, retrieval, and ML infrastructure
“ML/LLM engineer from Cohere who has owned retrieval, reranking, agentic workflows, and internal evaluation infrastructure end-to-end in production. Particularly strong in turning brittle RAG and research-heavy ideas into scalable enterprise systems with grounded outputs, lower customer escalations, and adoption by major clients like Notion and Fujitsu.”
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).”