AI engineer / applied AI / full-stack roles at startups building LLM-powered products

Location: Bellevue, WA Remote: No Willing to relocate: Yes (within the US) Technologies: Python, TypeScript, FastAPI, Next.js, React, PostgreSQL, pgvector, Redis, Apache Kafka, AWS, Docker, PyTorch, LLMs, RAG, Prompt Engineering Résumé/CV: https://drive.google.com/file/d/1GN2xjvBOpnON2wI0Heud4uiAMuj... Email: divyanshusharma17.work@gmail.com Portfolio: https://divyanshusharma.com AI/Full-stack Engineer with 3 years of experience across Amazon, NYU research, and high-growth startups. Currently building Elliot AI ( https://elliotai.app ), a production AI companion with hybrid RAG memory (pgvector + SQL scoring, <300ms retrieval across 6+ months of history), intent-based tool routing that cut LLM costs 68%, and voice I/O - serving 50+ daily active sessions. Previously at Amazon, where I drove $2.1M+ in annualized revenue impact through A/B experimentation across microservices. Before that, scaled a startup's email platform from 400K to 1.5M+ daily sends. Published in IEEE ICIP 2021 on zero-shot action recognition. Looking for AI engineer / applied AI / full-stack roles at startups building LLM-powered products. I've shipped RAG pipelines, inference optimization, and LLM-powered OCR in production. Need STEM-OPT (no sponsorship cost to employer). GitHub: https://github.com/divyanshusharma1709