Senior LLM Engineer
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Job Description
Senior LLM Engineer fine-tuning and deploying Azure LLMs for Molex engineering design platforms. Building RAG, agentic workflows, evaluation harnesses, and optimized inference.
Responsibilities:
- 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
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