[Remote] Senior LLM Engineer

Note: The job is a remote job and is open to candidates in USA. Molex is a leading supplier of connectors and interconnect components supporting industries from automotive to health care and consumer to data communications. The Senior LLM Engineer will fine-tune and deploy large language models on Azure platforms, build agentic and retrieval-augmented generation workflows, and develop evaluation and safety systems for engineering applications. The role also includes optimizing model inference on Azure Kubernetes Service for reliable, secure, and cost-efficient serving. Responsibilities Fine-tune foundation models (LoRA/QLoRA, RLHF/DPO, instruction tuning) for domain-specific tasks and terminologyBuild agentic and tool-use workflows that connect the LLM to internal engineering tools and data sourcesDesign evaluation harnesses for factuality and accuracy; own hallucination and safety guardrailsBuild RAG pipelines (Azure AI Search) and structured tool-use/function-calling systems on top of fine-tuned Azure OpenAI modelsDeploy and optimize inference (quantization, KV-cache, vLLM/TensorRT-LLM) on Azure Kubernetes Service for cost-efficient serving Skills 8+ years overall ML/AI engineering experience, with deep hands-on LLM/foundation model work — not just calling APIsDemonstrated experience fine-tuning models (LoRA/QLoRA/PEFT, full fine-tuning, or pretraining at some scale)Practical experience with alignment techniques (RLHF, RLAIF, DPO, or instruction tuning)Strong Python and deep PyTorch proficiency; solid grasp of transformer architecture internalsHands-on experience building RAG pipelines, embeddings/vector search, and agentic or tool-use LLM systemsFamiliarity with Azure OpenAI / Azure AI Foundry or an equivalent cloud LLM platformDirect experience with Azure OpenAI Service and Azure AI Foundry for enterprise-scale deploymentExperience orchestrating LLM-driven code or structured-output generation for technical/engineering domainsDistributed training experience across multi-GPU/multi-node clusters (DeepSpeed, FSDP)Publications, blog posts, or open-source contributions in generative AI Benefits This role is eligible for variable pay, issued as a monetary bonus or in another form.Eligible for remote: YesMedicalDentalVisionFlexible spending and health savings accountsLife insuranceADDDisabilityRetirementPaid vacation/time offEducational assistanceMay also include infertility assistance, paid parental leave and adoption assistance Company Overview Koch Engineered Solutions (KES) provides uniquely engineered solutions in construction; mass and heat transfer; combustion and emissions controls; filtration; separation; materials applications; automation and actuation. It was founded in 1945, and is headquartered in Wichita, Kansas, USA, with a workforce of 1001-5000 employees. Its website is http://www.kochengineeredsolutions.com/. Company H1B Sponsorship Koch Engineered Solutions has a track record of offering H1B sponsorships, with 3 in 2023, 2 in 2022, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.