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Lakeside Software

Software Engineer - LLM

Sorry, this job was removed at 06:39 p.m. (EST) on Monday, Apr 28, 2025
Remote
Hybrid
Hiring Remotely in US
Remote
Hybrid
Hiring Remotely in US

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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 visibilityLakeside’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) platformThe 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: Remote or Hybrid (Ann Arbor, Atlanta, or Boston)

#LI-Remote #LI-Hybrid #LI-LP1

Lakeside Software is committed to pursuing a diverse and talented team and offering an inclusive environment for all employees and candidates. We are particularly interested in receiving candidate applications from a broad spectrum of individuals, including women, historically marginalized groups, individuals with disabilities, members of the LGBTQIA+ community, veterans, and any other legally protected group. Lakeside is dedicated to providing equal access and opportunity, as well as reasonable accommodation, for individuals with disabilities in employment, its services, activities, and programs. Lakeside is an Equal Opportunity Employer and does not make hiring or employment decisions on any basis protected by applicable local, state, or federal laws or prohibited by Company policy.  If reasonable accommodation is needed to participate in the job application or interview process, to perform required job functions, or to receive other benefits and privileges of employment, please contact accomodations@lakesidesoftware.com.

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HQ

Lakeside Software Boston, Massachusetts, USA Office

Situated in the heart of downtown Boston’s thriving and dynamic Business District, Two Oliver Street offers an attractive mix of lifestyle amenities and is a gateway to Boston’s way of life, connecting the financial district to the popular social scene, the Greenway.

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

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