Agentic AI / Multi-Agent Systems Engineer

UST is a mission-driven technology company that creates transformative, human-centered solutions through innovation and agility. The company is seeking an Agentic AI / Multi-Agent Systems Engineer to develop and optimize multi-agent AI systems and agentic workloads, including selecting models, improving inference performance, benchmarking workloads, and optimizing execution across the software and hardware stack.

Responsibilities:

• Work with agent frameworks and orchestration technologies to design scalable solutions
• Select, evaluate, and deploy appropriate models and inference engines based on workload requirements
• Debug and optimize performance across the full stack: agent → model → inference engine → hardware
• Benchmark and profile AI workloads to identify and resolve performance bottlenecks
• Optimize model execution for latency, throughput, memory efficiency and accelerator utilization
• Collaborate on the complete execution path from agent logic through GPU hardware
• This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required