Teams at MakerMaker.AI

Build, operate, and optimize production inference systems for large models. Own throughput, latency, cost-per-token, reliability, profiling, optimizations (quantization, custom kernels), observability, autoscaling, load testing, incident response, and postmortems.

Research and develop autonomous multi-agent systems that plan, decompose tasks, choose experiments, evaluate outputs, and recover from failures. Design methods, coordination patterns, and evaluation frameworks for open-ended research workflows; run rigorous experiments, ship methods to production, and drive team research direction.

Research and develop efficient inference methods (quantization, speculative decoding, sparse attention, MoE, distillation), run production-scale experiments, evaluate trade-offs, and partner with engineers to deploy improvements and publish results.