Pre-screened and vetted in California.
Senior Backend Developer specializing in cloud APIs and microservices
Senior Software Engineer specializing in Python, cloud infrastructure, and AI-powered search
Senior Full-Stack Engineer specializing in scalable cloud platforms and AI integrations
Senior Backend Engineer specializing in scalable AWS serverless and data pipelines
Intern Software Engineer specializing in ML and computer vision
“Machine learning software engineer intern experience at Amazon, where they built a production testing framework to inject frames/videos onto devices to measure embedded CV model inference and ensure broad model compatibility via automatic NNA metadata handling. Also built side projects spanning LLM/RAG orchestration (LangChain/LangGraph with reranking and citations) and applied CV/healthcare work (nail disease detection, medical retrieval chatbot).”
Mid-Level Backend Engineer specializing in distributed event processing
Mid-Level Backend Engineer specializing in cloud-native distributed systems and data pipelines
Mid-Level Software Engineer specializing in backend and full-stack systems
Mid-level Creative Technologist specializing in XR and interactive prototyping
Mid-level Software Engineer specializing in distributed systems for Healthcare and E-commerce
Senior Full-Stack Software Engineer specializing in serverless AWS and scalable SaaS
Senior Software Engineer specializing in backend microservices and AI/ML integrations
Junior Backend Engineer specializing in cloud-native systems and observability
Mid-level Backend Engineer specializing in FinTech and AI-powered platforms
Senior Python Backend Engineer specializing in AWS serverless and data pipelines
Executive Cybersecurity Architect specializing in cloud, Zero Trust, and compliance
Mid-level Software Engineer specializing in Agentic AI and RAG systems
“Built and shipped a production AI-powered Q&A/RAG onboarding assistant at One Community Global that unified knowledge across Notion, Google Docs, and Slack, cutting volunteer onboarding time by 45%. Demonstrates strong end-to-end ownership: LangChain agent orchestration integrated into a FastAPI backend, rigorous evaluation (200-query dataset, ~85% accuracy), and production feedback/monitoring with source-attributed answers to build user trust.”
Mid-level Backend Engineer specializing in Kubernetes, GitOps, and real-time streaming
Senior Full-Stack .NET Engineer specializing in cloud-native web applications
Mid-Level Full-Stack Developer specializing in cloud-native microservices and GenAI