Pre-screened and vetted in the Greater Seattle.
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI applications
“ML/LLM engineer with hands-on experience shipping production RAG systems at Google Clinical Search and GenAI recommendation/summarization features in Meta Ads. Stands out for combining research-to-production execution with rigorous grounding, evaluation, safety checks, and reusable Python platform components that improved both reliability and team velocity.”
Senior Software Engineer specializing in distributed systems and high-scale backend platforms
Senior Full-Stack Engineer specializing in Python back ends and cloud-native systems
Staff AI/ML Technical Leader specializing in LLM agents, ranking, and large-scale NLP platforms
Director-level Software Development Manager specializing in AWS agentic AI and logistics platforms
“Software development manager who led development of the open-source AI agents framework Strands (for Amazon Bedrock), which launched mid-year and is used as a primary agent-development framework at Amazon and externally. Owned the Strands SDK end-to-end, drove adoption through stakeholder management and agile execution, and led a JavaScript-to-TypeScript migration to improve type safety and maintainability.”
Executive Technology & Strategic Operations Leader specializing in AI governance and cybersecurity
“Serial entrepreneur who has launched 9+ bootstrapped businesses and has repeatedly raised capital as a CTO for other startups, leveraging a 7,000+ funder network and a sales-like fundraising pipeline approach. Deeply embedded in the VC/studio/accelerator ecosystem for 15+ years and currently mentors/advises with Stanford Venture Studios, Alchemist, and Ignyte in Dubai. Recently left Meta and is specifically targeting CTO roles for the next 5–10 years.”
Senior Full-Stack Engineer specializing in SaaS, e-commerce, and frontend platforms
“Frontend-leaning full-stack engineer who has built a multi-tenant AI-powered widget and admin dashboard platform used across 40+ merchant websites. Strong in TypeScript/Next.js/GraphQL systems design, reusable platform primitives, and cross-layer debugging, with a clear track record of shipping scalable product experiences under ambiguity.”
Senior Software Engineer specializing in cloud infrastructure and large-scale data pipelines
“Backend engineer on Amazon’s Geospatial Data team (Amazon Maps) who built a real-time road-layer service ingesting third-party and internal signals to deliver road closures/traffic overlays to delivery drivers on a ~3-minute cadence while minimizing mobile data egress. Demonstrates strong production reliability skills (rate limiting, idempotency, cache stampede prevention) and security depth (IAM, RBAC, tenant row-level security), plus careful handling of edge cases like manual override protection against automated feed overwrites.”
Senior Backend/Data Engineer specializing in ads event processing and attribution
Senior Software Engineer specializing in Python backend and applied AI platforms
Senior Full-Stack Software Engineer specializing in cloud automation and applied AI
Intern Software Engineer specializing in Machine Learning and Generative AI
Senior Software Engineer specializing in cloud observability and video streaming
Senior Software Engineer specializing in cloud infrastructure, payments, and AI products
Senior Software Engineer specializing in large-scale distributed cloud systems
Senior Software Engineer specializing in enterprise AI/LLM integration and full-stack systems
Senior Python Engineer specializing in cloud infrastructure, media services, and IoT
Senior Full-Stack Software Engineer specializing in ML platforms and privacy-preserving ads
Senior Software Engineer specializing in Siri/Maps conversational AI evaluation
Senior Full-Stack Software Engineer specializing in cloud-native web apps and AdTech analytics
Engineering Manager / Tech Lead specializing in large-scale distributed systems
“Software engineer focused on personalization and data/ML infrastructure who built a GenAI/LLM-driven carousel ranking system end-to-end, delivering a reported 6–7% order-rate lift. Also designed large-scale personalization ETL (15PB for ~100M users) and created a custom Airflow operator to integrate with Databricks under enterprise version constraints, with hands-on on-call and data-quality reliability improvements.”
Mid-level Full-Stack Developer specializing in Java/Spring Boot and React
“NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.”