Agentic AI / Multi-Agent Systems Engineer

UST is hiring an Agentic AI / Multi-Agent Systems Engineer to develop and optimize multi-agent AI systems and agentic workloads. The role focuses on designing scalable agent solutions, selecting and deploying models and inference engines, and profiling and optimizing performance 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

Skills

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

Benefits

• Full-time, regular employees accrue a minimum of 10 days of paid vacation per year.
• Full-time, regular employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).
• Full-time, regular employees receive 10 paid holidays and are eligible for paid bereavement leave and jury duty.
• Full-time, regular employees are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching.
• Full-time, regular employees and their dependents residing in the US are eligible for medical, dental, and vision insurance.
• Full-time, regular employees receive Company-paid basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits for Employee Only.
• Regular employees may purchase additional voluntary short-term disability benefits and participate in a Health Savings Account (HSA) and a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines.
• Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching.
• Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company’s 401(k) program with employer matching.
• Full-time temporary employees and their dependents residing in the US are eligible for medical, dental, and vision insurance.
• Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).
• All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.

Company Overview

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