davidmryland
Remote: Yes
Willing to relocate: Yes
Technologies: Python, FastAPI, Django, Node.js, Go, NestJS, Java, Spring Boot, .NET Core, React, Next.js, Angular, TypeScript, AWS, GCP, Azure, Vertex AI, Gemini, LangGraph, LlamaIndex, RAG, FAISS, pgvector, Redis, PostgreSQL, Docker, Terraform, WebRTC, LiveKit, Whisper, Deepgram, ElevenLabs, BigQuery, Databricks, and more.
About Me: I am a Senior AI Engineer and Full-Stack Engineer with a strong background in designing and delivering scalable AI-powered products, real-time voice systems, and large scale retrieval platforms. My experience spans end-to-end solution development, from architecting multimodal RAG systems and LLM-powered applications to building high-performance cloud-native services across GCP, AWS, and Azure. I have led the development of production-grade AI solutions serving millions of users, with expertise in generative AI, distributed systems, vector search, and conversational agents. Passionate about innovation and problem-solving, I enjoy translating complex business requirements into practical, reliable, and impactful technology solutions while mentoring teams and driving technical excellence.
Résumé/CV: https://flowcv.com/resume/m45rggi30sa0
Email: [email protected]
Remote: Yes
Willing to relocate: Yes (open to discussion)
Technologies: AI/LLM: Whisper, Deepgram, ElevenLabs, Gemini 2.5/3, Gemini Pro Vision, Vertex AI (Model Garden, Vector Search, Workbench, Pipelines), LangGraph, LlamaIndex, RAG, multimodal & multilingual embeddings, FAISS/pgvector, Redis vector serving, ONNX, Triton, tool-calling agents, real-time voice agents (WebRTC, LiveKit) Backend: Python (FastAPI, Django), Node.js, Nest.js, Go, Java/Spring Boot, .NET Core, WebSockets, microservices, event-driven systems, Redis, PostgreSQL Frontend: React, Next.js, Angular, TypeScript, Redux Cloud/DevOps: GCP (Cloud Run, GKE, BigQuery, Pub/Sub, Vertex AI), AWS (EC2, S3, Lambda, RDS), Azure, Docker, Terraform, GitHub Actions, CI/CD Other: FFmpeg, OpenCV, Databricks, Delta Lake, hybrid search, semantic ranking
Résumé/CV: https://flowcv.com/resume/4dicl4tsnk2h
Email: [email protected]
About: Senior AI Engineer & Full-Stack Engineer with deep experience shipping production, latency-sensitive AI systems.
Most recently at Striveworks (Austin) I designed and launched a real-time AI voice agent platform on GCP using LiveKit/WebRTC, Whisper/Deepgram STT, ElevenLabs TTS, Gemini embeddings, and LangGraph multi-agent orchestration — delivering sub-second response times with interrupt handling and barge-in.
Previously at Zillow I built multimodal, multilingual embedding retrieval systems serving 20M+ users at 10–100 ms P99 / 10k+ QPS, plus conversational search with RAG, query rewriting, and observability (LangSmith/Langfuse). Earlier roles at Banner Health and GoDaddy covered large-scale retrieval, clinical decision support, and full-stack platform work.
I focus on end-to-end ownership: audio ingestion → streaming inference → agent orchestration → low-latency serving → observability. Looking for senior AI/Full-Stack roles where I can help ship production AI products quickly.
Location: Seattle, WA
Remote: Yes
Willing to relocate: Yes
Technologies: Real‑time AI voice systems, multimodal retrieval, RAG, embeddings, FAISS/pgvector, FastAPI, Next.js, Python, TypeScript, GCP/AWS, WebRTC, LiveKit, STT/TTS (Whisper, Deepgram, ElevenLabs)
Résumé/CV: https://flowcv.com/resume/4dicl4tsnk2h
Email: [email protected]
About: Senior AI Engineer experienced in building low‑latency AI voice agents, multimodal retrieval engines, and large‑scale full‑stack platforms across healthcare, real estate, and enterprise AI. Proven ability to architect production‑grade systems end‑to‑end with strong cross‑functional collaboration.