RampNew York, NYBuild and ship full-stack AI projects including AI agents, RAG, structured extraction, and LLM infrastructure. Requires proficiency in full-stack development, backend systems, cloud infrastructure, and production LLM experience.
Design and deploy end-to-end AI systems powering real products. Own the full intelligence stack including retrieval, agent orchestration, evals, and governance. Requires Python, LLM experience, and production AI system building.
Builds ML tools, infrastructure, and manages large datasets for end-to-end autonomy research and productionizing self-driving software. Works with AI research and engineering teams to scale GPU compute, data, and evaluation systems. Requires strong software generalist skills across ML stack.
Build and deploy scalable AI applications and intelligent agents for enterprise customers. Requires 5+ years of experience with Python, ML frameworks (PyTorch/TensorFlow/JAX), LLMs, and cloud platforms.
Builds and deploys AI agents to automate internal workflows at Brex by embedding with teams, integrating with systems and APIs, and measuring impact. Requires 4+ years experience shipping AI/automation with LLMs, agent frameworks, and databases.
Builds and deploys AI agents to automate internal workflows at Brex by embedding with teams, integrating systems, and measuring impact. Requires 4+ years experience with LLMs, agent frameworks, databases, and production AI systems.