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Location: San Francisco / Bay Area Remote: No. Onsite or hybrid is acceptable in San Francisco. For other SF Bay Area locations, hybrid only. Willing to relocate: No. Technologies: TypeScript, Python, Rust, Distributed Systems, Microservices, Event-Driven (Kafka / NATS), Real-Time / Streaming, WebSockets, Kubernetes (AWS EKS), AWS, GCP (Firebase), Docker, Pulumi, Firestore, MongoDB, Redis, PostgreSQL, Elasticsearch, Observability (Prometheus, Grafana, Elastic Stack), Multi-Tenant Systems, Applied AI, LLM Integration, RAG, Agent Orchestration, MCP, LLM-as-Judge, LLM Evals, ASR / Speech (Whisper, LoRA fine-tuning) Résumé/CV: https://drive.google.com/file/d/13tDwa9HFDxqJVPsYg-9IhlwJ65k... Email: skinner.cheng@gmail.com Hello, I am Skinner. Senior Backend Engineer with 11+ years building reliability-critical, real-time distributed systems. Co-founder & former CTO, now back on a hands-on IC track by choice. Now moving that reliability-critical foundation toward Applied AI — especially the evaluation and reliability side, making AI outputs trustworthy enough to depend on. Alongside this, I'm actively building two personal projects: Clearway, an AI accessibility audit pipeline focused on evals and measuring how far its own agents can be trusted, and Vox Personalis, a fine-tuned ASR for Deaf-accented speech. Looking for: Senior Backend / Applied-AI Engineer roles (IC). Open across stages (startup to established), with a lean toward real-time, distributed, and reliability-critical Applied AI systems. |