Senior LLM Engineer — Azure AI & Tooling Lead

Molex; Austin (TX); On-site; USD 195,000 - 255,000; Full time

Benefits offered by this job

Medical, dental, vision, flexible/spen

Job summary

Molex is seeking a Senior LLM Engineer to fine-tune and deploy LLMs on Azure OpenAI / Azure AI Foundry, powering generative AI within our engineering design platform. Translate natural-language design intent into structured, engineering-valid outputs.

You will join the platform team, collaborating with ML engineers, data scientists and MLOps to keep training and inference workloads reliable, secure and cost-efficient.

Qualifications

• 8+ years ML/AI engineering with hands-on LLM work.
• Experience fine-tuning models (LoRA/QLoRA/PEFT or full fine-tuning).
• Experience with alignment techniques (RLHF/RLAIF/DPO).
• Strong Python and PyTorch, deep transformer knowledge.
• Hands-on with RAG pipelines, embeddings and tool-use LLMs.
• Familiarity with Azure OpenAI/Azure AI Foundry.

Responsibilities

• Fine-tune foundation models for domain tasks and terminology.
• Build agentic workflows linking LLMs to internal tools and data.
• Design evaluation harnesses for factuality and safety guardrails.
• Build RAG pipelines and tool-calling systems atop models.
• Deploy and optimize inference on AKS for cost-efficient serving.

Skills

Python

PyTorch

LLM fine-tuning

RLHF/DS

Azure OpenAI

NLP/Transformers

RAG pipelines

MLOps

Multi-GPU training

Code deployment

Tools

Azure OpenAI

Azure AI Foundry

vLLM/TensorRT-LLM

Job description

Molex is seeking a Senior LLM Engineer to fine-tune and deploy LLMs on Azure OpenAI / Azure AI Foundry, powering generative AI within our engineering design platform. Translate natural-language design intent into structured, engineering-valid outputs.

You will join the platform team, collaborating with ML engineers, data scientists and MLOps to keep training and inference workloads reliable, secure and cost-efficient.