Software Engineer - AI & ML

February 15

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Logo of Lakeside Software

Lakeside Software

Lakeside Software is a company that provides the SysTrack platform, helping enterprises gain a comprehensive view of their entire IT environment. With its AI-driven digital experience platform, Lakeside Software enables IT teams to proactively resolve complex issues by leveraging real-time data capture and analysis. It focuses on improving digital employee experience (DEX), optimizing hardware and software resources, and ensuring comprehensive IT visibility. The platform is recognized for its ability to streamline IT operations, reduce costs, and enhance productivity across large, complex IT estates.

Big Data for End User Computing • VDI Assessment • Modeling • Migration & Planning • Business Intelligence for IT

201 - 500 employees

☁️ SaaS

🏢 Enterprise

⚡ Productivity

💰 Private Equity Round on 2020-02

📋 Description

• 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. • Join us in transforming IT operations and delivering exceptional digital experiences to companies globally. • 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.

🎯 Requirements

• 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

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