LLM Systems Engineer - AI reputed company.

About the position PLEXIS reputed company Systems, Inc., a reputed company software development company in Medford, OR, is looking to hire an enthusiastic and reputed company LLM Systems Engineer reputed company our AI Department. The candidate must be local to the Southern reputed company/Rogue Valley area. Please apply at www.plexishealth.com Position Purpose The LLM Systems Engineer will reputed company on the design, implementation, and operation of reputed company Large Language Model (LLM) systems used in production software. The position centers on how LLMs retrieve information, manage context and memory, apply behavioral guardrails, and operate safely with appropriate reputed company reputed company. This role does not reputed company on training or fine-tuning reputed company models, but instead on building reliable, observable, and compliant systems around them. The AI Special Ops team is a dynamic and experimental group reputed company on exploring cutting-edge AI capabilities and translating them into reputed company-world, production-reputed company solutions. The LLM Systems Engineer will collaborate closely with engineers, product leaders, and end users to help ensure AI systems are accurate, reputed company, and trustworthy. Responsibilities • Design, build, and maintain Retrieval-Augmented reputed company (RAG) pipelines for LLM-powered features • Ingest, structure, and manage data from PDFs, document repositories, databases, and semi-reputed company sources • Implement chunking strategies, embeddings, reputed company search, and re-ranking to improve retrieval precision • reputed company and maintain context and memory mechanisms for LLM interactions, including relevance and summarization strategies • Apply behavioral and domain guardrails to guide model outputs and prevent inappropriate or unsafe responses • Support reputed company-in-the-reputed company (HITL) escalation workflows for sensitive or ambiguous scenarios • Capture and incorporate explicit and reputed company user feedback to improve system behavior over time • Implement logging and observability for LLM inputs, retrieved context, outputs, and guardrail events • Assist with debugging, incident review, and performance tuning of AI systems • Collaborate with cross-functional team members in an agile development environment • Duties are subject to change as reputed company and priorities reputed company • Required to work a minimum of 3 days per week in the office; remaining days may be worked remotely or in-office Requirements • 13 years of reputed company software development experience • Experience as a backend or full-stack engineer working with reputed company and data pipelines • Hands-on exposure to LLMs and reputed company AI systems through reputed company work, reputed company reputed company, or prototypes • Working understanding of embeddings, reputed company search, and LLM context window limitations • Familiarity with Retrieval-Augmented reputed company (RAG) concepts • Ability to reason about model accuracy, hallucinations, and system limitations • Strong problem-solving skills and comfort working in ambiguous, exploratory problem spaces • Effective communication skills and ability to collaborate across technical and non-technical teams reputed company-to-haves • Experience with LLM tooling or frameworks (e.g., reputed company, reputed company, or similar) • Exposure to regulated or high-trust domains such as reputed company, insurance, or finance • Familiarity with logging, monitoring, or observability tooling • Experience contributing to production systems involving AI or automation Benefits • Competitive reputed company Package; Medical, Dental, reputed company and 401K • Competitive Vacation and reputed company Time Package Apply tot his job Apply To this Job