ArcadeSan Francisco, CABuilds advanced AI systems using LLM pipelines, vector search, agent frameworks, and multimodal tools to create intelligent interactive product demos. Requires 5+ years in software/AI engineering and a bachelor's degree.
Nice to Have Skills: Typescript, Next.js, React, experimentation, security.
$130k-$265k, plus meaningful equity.
Builds and owns end-to-end LLM-powered features including RAG, tool-calling, APIs, retrieval systems, evals, and monitoring for aviation AI platform. Requires production LLM experience, strong coding in Python/TypeScript, quality focus, and cost/latency optimization.
Forward-deployed AI Engineer embedding with teams to build production agentic workflows, LLM applications, RAG pipelines, and MCP servers that automate work across Engineering, Operations, and Finance. Own end-to-end delivery from discovery through production monitoring on GCP.
Build and optimize ML data pipelines and infrastructure for edge perception models and cloud data engines at Applied Intuition. Requires 5+ years experience with modern ML infrastructure, large-scale GPU jobs, microservices/databases, and US citizenship for DoD work.
Leads design and deployment of AI/ML models, prototypes, and ethical frameworks for DoD missions. Requires 8+ years in AI/ML/data science, bachelor's in relevant field, Python/TensorFlow/PyTorch experience, and Public Trust eligibility.
Leads development and deployment of ML models for NLP, retrieval, ranking, reasoning, dialog, and code-generation systems. Requires Master's/PhD, production ML experience, deep NLP expertise, Python proficiency, and MLOps knowledge in a fast-paced startup.