Senior LLM Engineer

Job not on LinkedIn

🕒 August 20

🏄 California, Illinois, +1 more states – Remote

🏄 California – Remote 🌽 Illinois – Remote 🤠 Texas – Remote

💵 $195k - $255k / year

⏰ Full Time

🟠 Senior

🗣️ LLM Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Guardian Industries - DeWitt

WebsiteLinkedInAll Job Openings

- employees

🏭 Manufacturing

🏗️ Construction

Manufacturing • Construction

Guardian Industries - DeWitt is a facility or operating unit of Guardian Industries listed among Koch companies. Guardian Industries is a global manufacturer best known for producing glass and building-related products and operates multiple manufacturing sites; the DeWitt location is presented in Koch’s careers/company listings as one of the Guardian Industries locations offering roles in manufacturing, engineering, operations and related functions. As part of Koch’s portfolio, the site is positioned within a large industrial/manufacturing network and supports production, operations and career opportunities tied to Guardian’s glass and building products businesses.

📋 Description

• Fine-tune foundation models using LoRA/QLoRA, RLHF/DPO, and instruction tuning for domain-specific tasks and terminology • Build agentic and tool-use workflows connecting LLMs to internal engineering tools and data sources • Design evaluation harnesses for factuality and accuracy • Own hallucination and safety guardrails • Build RAG pipelines with Azure AI Search • Build structured tool-use and function-calling systems on fine-tuned Azure OpenAI models • Deploy and optimize inference using quantization, KV-cache, vLLM, and TensorRT-LLM on Azure Kubernetes Service • Help keep Azure AI/ML training and inference workloads reliable, secure, and cost-efficient alongside ML engineers, data scientists, and MLOps teams

🎯 Requirements

• 8+ years overall ML/AI engineering experience, with deep hands-on LLM/foundation model work • Demonstrated experience fine-tuning models using LoRA/QLoRA/PEFT, full fine-tuning, or pretraining at some scale • Practical experience with RLHF, RLAIF, DPO, or instruction tuning • Strong Python proficiency • Deep PyTorch proficiency • Solid grasp of transformer architecture internals • Hands-on experience building RAG pipelines, embeddings/vector search, and agentic or tool-use LLM systems • Familiarity with Azure OpenAI, Azure AI Foundry, or an equivalent cloud LLM platform • Direct Azure OpenAI Service and Azure AI Foundry experience preferred • Experience orchestrating LLM-driven code or structured-output generation for technical/engineering domains preferred • Distributed training experience across multi-GPU/multi-node clusters using DeepSpeed or FSDP preferred • Publications, blog posts, or open-source contributions in generative AI preferred

🏖️ Benefits

• Variable pay, issued as a monetary bonus or in another form • Medical insurance • Dental insurance • Vision insurance • Flexible spending accounts • Health savings accounts • Life insurance • AD&D insurance • Disability insurance • Retirement benefits • Paid vacation/time off • Educational assistance • Infertility assistance • Paid parental leave • Adoption assistance • Flexible work environment