Lead AI Engineer (FM Hosting, LLM Inference)/Remote

Senior Software Engineer - Model Hosting The Model Hosting team sits at the heart of our infrastructure, working deeply within our bare metal and Kubernetes stack to ensure every bit of compute is used to its fullest. If you're excited about squeezing maximum performance out of hardware and building the systems that serve large language models at scale, we'd love to talk. About the Role You'll help design and operate the platform that serves our models in production. Our stack spans several la

We are seeking an LLM Agentic AI Lead to design, build, and deploy AI agents that solve business problems. This person will lead the technical direction for agentic AI solutions, working with stakeholders to identify use cases and guide a team from prototype through production. The ideal candidate has hands-on experience with large language models, retrieval augmented generation (RAG), tool calling, and agent orchestration. They can design reliable workflows that connect LLMs to enterprise data

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health op

Only W2VISA :: NO H1B or OPT or CPTJob Role: LLM EngineerLocation: 100% RemoteLong Term ContractKey Responsibilities Experience 5+ years of software engineering, AI engineering, machine learning engineering, or platform engineering experience. 2+ years of hands-on experience building LLM, GenAI, or agentic AI solutions. Experience building production-grade AI applications using LLMs, RAG, prompts, APIs, and cloud or on-prem platforms. Experience working with model evaluation, prompt testing, and