Agentic AI / Multi-Agent Systems Engineer

About the role

UST is searching for an Agentic AI / Multi-Agent Systems Engineer who will develop and optimize multi-agent AI systems and agentic workloads.

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

Requirements

• Bachelor's degree in Electrical Engineering or Computer Engineering
• 2–4 years of platform debug experience with BIOS/FW/platform ingredients

Required Experience & Knowledge

Linux & Systems

• Strong Linux development and debugging skills
• Understanding of processes, threads, memory, PCIe, DMA, kernel modules, and device drivers
• Ability to debug workloads across the application → runtime → driver stack

Agentic AI & Multi-Agent Systems

• Hands-on development of multi-agent workloads
• Experience with agent orchestration, tool/function calling, memory planning and agent-to-agent communication
• Experience with agent frameworks such as LangGraph/LangChain, AutoGen, or CrewAI

Models & Inference

• Strong understanding of LLMs, SLMs and multimodal models
• Knowledge of Transformer architecture, attention, tokenization, context windows, and KV cache
• Hands-on experience with model selection, evaluation, and deployment
• Understanding of model formats and optimization: ONNX, Open VINO IR, safe tensors, quantization (FP16/BF16/INT8/INT4)
• Experience with inference engines: Open VINO, ONNX Runtime, vLLM, llama.cpp, or TGI
• Understanding of prefill vs. decode, batching, continuous batching, speculative decoding, and KV-cache management
• Ability to optimize for latency, throughput, tokens/sec, memory footprint, and accelerator utilization

Accelerator & Compute Stack

• Understanding of the complete execution path: Agent → Model → Inference Engine → Middleware → Compute Runtime → GPU Driver → Hardware
• Understanding of GPU memory, kernel execution, synchronization, device selection and host/device data movement
• Familiarity with middleware/accelerator compute runtimes: OMZ/OneAPI/SYCL, Level Zero, or OpenCL

Programming & Development

• Strong Python skills
• Working knowledge of C/C++
• Git/GitHub and Linux shell proficiency
• Debugging tools expertise
• Practical use of GitHub Copilot for development, debugging and code generation
• Docker/container fundamentals

Performance Engineering

• Ability to benchmark and profile AI workloads
• Understanding of latency, throughput, tokens/sec, GPU utilization, memory bandwidth and CPU/GPU bottlenecks
• Ability to identify performance issues at different stack levels

Desired Skills

• Intel GPU architecture and Linux GPU driver stack
• DRM/i915 and newer Intel GPU driver architecture
• Intel GPU profiling and telemetry
• Speculative decoding and continuous batching experience
• Tensor/pipeline parallelism knowledge
• Model conversion, graph optimization and operator/kernel fusion
• MCP (Model Context Protocol)
• Advanced RAG architectures
• Agent observability/tracing
• Model routing and dynamic model selection
• Distributed/multi-agent execution
• CUDA/HIP/ROCm familiarity
• Kubernetes, Ray or Slurm experience
• Distributed inference knowledge
• Linux kernel/GPU debugging perf, gdb, tracing and GPU profiling tools

Pay

Role Location: Oregon

Compensation Range: $72,000–$108,000

Benefits

• Full-time, regular employees accrue a minimum of 10 days of paid vacation per year
• Receive 6 days of paid sick leave each year (pro-rated for new hires)
• 10 paid holidays
• Eligible for paid bereavement leave and jury duty
• Eligible to participate in the Company’s 401(k) Retirement Plan with employer matching
• Eligible for medical, dental, and vision insurance (US employees and dependents)
• Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits
• May purchase additional voluntary short-term disability benefits
• Eligible to participate in a Health Savings Account (HSA) and a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses