Peraton
Skills: Python, AWS, CI/CD
Responsibilities
The LLM Specialist will drive the design, development, and operationalization of advanced large‑language‑model capabilities across a cloud‑based analytics ecosystem. This role leads innovation efforts around cutting‑edge AI, owning the architecture and strategy for fine‑tuning, retrieval‑augmented generation (RAG), agentic frameworks, and domain‑specific model adaptation. The specialist will guide the development of high‑impact prototypes, oversee the evolution of scalable LLM pipelines, and ensure robust governance, security, and performance across all model implementations. Partnering with engineering, product, and data teams, this position provides technical leadership, evaluates emerging LLM technologies, sets best practices, and helps drive transformation through the practical, safe, and effective deployment of generative AI.
Qualifications
Required Skills:
Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD Deep expertise in LLM architectures, transformer models, and modern generative AI techniques. Demonstrated experience leading fine‑tuning efforts, parameter‑efficient training, and advanced prompt engineering. Proven ability to design and implement end‑to‑end RAG pipelines, including embedding workflows, retrieval optimization, and vector database integrations. Hands‑on experience with one or more LLM frameworks or orchestration toolchains (such as LangChain, LlamaIndex). Strong Python development skills and experience with distributed compute or GPU‑accelerated training environments. Experience architecting and deploying AI/ML or LLM workflows within cloud platforms such as Azure, AWS, or GCP. Solid understanding of MLOps/LLMOps practices, including versioning, CI/CD, automated testing, monitoring, and model governance. Ability to lead technical discussions, mentor team members, and communicate complex AI concepts to diverse audiences. US Citizen with the ability to obtain/maintain a Public Trust cl …trunc…
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