LLM Engineer

• Develop and optimize LLM, VLM, embedding, and audio multimodal models based on open-source foundation models.
• Build GUI-recognition and automated-control agents for medical post-processing software and medical devices.
• Fine-tune models using PEFT methods including LoRA/QLoRA, SFT, and DPO.
• Deliver GUI recognition, UI-element localization, instruction understanding, task planning, and tool-calling capabilities.
• Build and manage multimodal datasets from screenshots, workflows, device commands, and audio interactions.
• Establish automated evaluation and maintain versioning and experiment records for R&D traceability.
• Apply distillation, pruning, and INT4/INT8 quantization to optimize models.
• Optimize inference using KV cache, operator fusion, and memory reuse.
• Convert and deploy models locally using TensorRT and ONNX Runtime.
• Integrate VLM recognition, LLM planning, embedding retrieval, and ASR understanding into automated agent loops.
• Support model verification, performance validation, technical documentation, risk analysis, boundary-case analysis, and evaluation of emerging technologies.
• Collaborate with device software, Product, and Quality teams.

Explore R&D Engineer, Large Language Model at GE HealthCare. Review requirements and application details.