GenAI ML Systems Engineer & Trainer (MLOps)

Mercor; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

Join a leading AI lab's GenAI team as an MLOps Engineer, building foundational AI models and maintaining LLM infrastructure across GPU kernels, profiling, and inference serving. You will contribute to training data and evaluation tasks, aligning with frontier AI systems.

This 40-hour full-time engagement is a W-2 position with Cincinnatus LLC, offering placement at a leading AI Lab as part of an extended workforce with no conflicts or other engagements.

Qualifications

• 2+ years hands-on experience in ML systems, ML infrastructure or model serving.
• Experience in at least one area: GPU kernels, profiling, debugging, or large language model serving.
• Production experience with JAX and/or PyTorch; depth in operators, distributed training or compiler work.
• Familiar with accelerators like A100/H100/TPU and memory/latency trade-offs.
• Demonstrated career progression and reliable 40+ hours/week availability.
• Strong written communication and ability to explain complex technical decisions.

Responsibilities

• Design tasks across GPU kernels, profiling, debugging, and inference serving.
• Guide teams to close knowledge gaps and improve AI model performance on ML systems.
• Evaluate MLOps tasks and provide clear technical feedback.
• Develop evaluation frameworks for kernel optimization, profiling, and serving latency.
• Collaborate with experts to maintain training data consistency.

Skills

MLOps

ML systems

GPU kernels

Performance profiling

Distributed workloads

LLM infrastructure

Tools

CUDA

Triton

Pallas

Kineto

Nsight

JAX profiler

PyTorch

TensorRT-LLM

Job description

Join a leading AI lab's GenAI team as an MLOps Engineer, building foundational AI models and maintaining LLM infrastructure across GPU kernels, profiling, and inference serving. You will contribute to training data and evaluation tasks, aligning with frontier AI systems.

This 40-hour full-time engagement is a W-2 position with Cincinnatus LLC, offering placement at a leading AI Lab as part of an extended workforce with no conflicts or other engagements.