Software Engineer - LLM

Lakeside Software is ushering in a new era of proactive IT with SysTrack, the industry's most powerful AI-driven Digital Employee Experience (DEX) platform. Trusted by Fortune 500 companies worldwide, Lakeside SysTrack dramatically reduces IT costs, prevents system failures before they occur, and drives strategic decision-making through unparalleled visibility. Lakeside’s excellence is recognized by industry experts, earning us the title of AI Company of the Year by CIOReview, and leader status in the Gartner® Magic Quadrant™ for Digital Employee Experience Management Tools and The Forrester Wave™: End-User Experience Management. Join us in transforming IT operations and delivering exceptional digital experiences to companies globally. The Role We are looking for a highly motivated Software Engineer to join our Engineering team and apply the latest Large Language Model (LLM) technologies to SysTrack, our AI-driven Digital Employee Experience (DEX) platform. The ideal candidate will be at the cutting edge of LLM advancements, eager to translate the latest AI innovations into transformative features for our commercial product. You will be part of a small, dynamic team focused on applying AI/ML tools and techniques to enhance SysTrack and empower its users. From research to brainstorming to proof of concept, you will be responsible for owning multiple aspects of projects and driving them to completion with minimal oversight. What You'll Do The core functions of this role include: Researching novel uses of the latest LLM advancements to both find and enhance the value of IT system level data Implementing quick proof-of-concept approaches to demonstrate value, as well as identifying requirements to fully productize the capability Documenting and present findings to the Product Team and Development teams Mapping research level tools to production ready resources such as Azure, OpenAI, and AWS Understanding low level IT/computer systems and networking and how to troubleshoot those areas to provide actionable insights from the SysTrack data What You'll Bring to Lakeside The key requirements for this include: 4+ years of experience in software engineering working with very large datasets Excellent knowledge of LLM/generative AI tools and technology and usage of those technologies including prompt writing and API access, preferred Azure AI services Experience with multiple generative AI models and understanding their various strengths and usages Advanced experience with applying RAG techniques in production systems Familiarity with LangChain, LLamaIndex, Azure AI Foundry or equivalent 2+ years of programming skills, with C# knowledge being a plus Strong SQL query skills BS or MS degree in Computer Science or Data Science or equivalent Experience with container technology such as Docker is desired Understanding of, and experience with, Agentic AI approaches and orchestration between agents is very beneficial Intermediate to advanced understanding of computer hardware and operating system function is a strong plus Additional Details Location: Hybrid role; in-office requirement is based on your proximity to the Ann Arbor office.