Agentic AI Engineer: Multi-Agent Systems & Optimization

UST; Oregon (WI); On-site; USD 72,000 - 108,000; Full time

Job summary

UST in Oregon seeks an Agentic AI / Multi-Agent Systems Engineer to join our ML team as an ML Engineer I. You will develop and optimize multi-agent AI workloads, work with agent frameworks, and help design scalable solutions.

The position requires strong Linux, Python, and C/C++ skills, plus experience with GPUs, inference engines, and model deployment. Compensation ranges from $72,000 to $108,000 with comprehensive benefits.

Qualifications

• Bachelor's degree in Electrical Engineering or Computer Engineering.
• 2-4 years of platform debug experience with BIOS/FW/platform ingredients.
• Strong Linux development and debugging skills.

Responsibilities

• Design scalable agent frameworks and orchestration solutions.
• Evaluate models and inference engines based on workload requirements.
• Debug and optimize performance from agent to hardware.
• Benchmark AI workloads and resolve bottlenecks.
• Optimize latency, throughput, memory and accelerator utilization.
• Collaborate on the full execution path from agent logic to GPU hardware.

Skills

Linux

Python

C/C++

Git

Docker

Kubernetes

LangChain

LangGraph

OpenVINO

ONNX

Transformer

GPU

Inference engines

Model deployment

CUDA

ROCm

gdb

Perf profiling

Education

Bachelor's degree in Electrical Engineering or Computer Engineering

Tools

LangGraph

LangChain

AutoGen

CrewAI

OpenVINO

Job description

UST in Oregon seeks an Agentic AI / Multi-Agent Systems Engineer to join our ML team as an ML Engineer I. You will develop and optimize multi-agent AI workloads, work with agent frameworks, and help design scalable solutions.

The position requires strong Linux, Python, and C/C++ skills, plus experience with GPUs, inference engines, and model deployment. Compensation ranges from $72,000 to $108,000 with comprehensive benefits.