ClickUpUnited StatesBuild and maintain a platform for creating and deploying multi-agent AI systems, integrating multiple LLMs and orchestration frameworks like LangGraph. Requires deep expertise in AI backend engineering, evaluation frameworks, privacy, and search integration.
Senior individual contributor architecting and scaling agentic LLM systems that turn messy manufacturing data into reliable root-cause insights. Owns orchestration, retrieval, evaluation, and guardrails for non-deterministic production systems.
Conduct optimization research and implement large-scale constrained optimization models that drive real-time trading decisions, working across the full research lifecycle from theory to production. Requires PhD-level coursework and strong applied research background in optimization.
New/recent PhD to own RL and post-training for large-scale omni models. Build and scale the full RL/post-training stack including rollout, optimization, reward modeling, and evaluation for real-time audiovisual AI.
Staff-level engineer building AI data platform infrastructure, eval systems, and agent-first tooling for frontier labs. Requires 4+ years shipping production systems, full-stack experience, and deep TypeScript/Python proficiency.
Optimize inference for real-time multimodal AI avatars. Specialize in LLM and diffusion model serving, KV cache strategies, quantization, and low-latency frameworks like vLLM and TensorRT-LLM.