Agentic AI Machine Learning Engineer

Position Overview

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ScienceLogic is seeking an experienced Agentic AI Machine Learning Engineer specializing in LLMs and autonomous agents and agentic AI. This role will focus on an innovative AI-driven orchestration engine designed to empower organizations to automate complex workflows through intelligent, proprietary, and third-party AI agents. The ideal candidate will have a strong technical background in software development across multiple technology stacks, with experience in developing highly scalable software services and systems.

Responsibilities

• Architect and lead the development of scalable, robust AI orchestration frameworks that enable autonomous, agentic AI systems to collaborate and execute complex tasks.
• Design and build LLM-powered proprietary AI agents and services capable of reasoning, learning, and adapting within dynamic IT environments.
• Drive innovation in multi-agent orchestration, including task decomposition, dynamic scheduling, and adaptive control strategies.
• Collaborate closely with cross-functional teams—product management, data science, software engineering—to translate business needs into technical solutions.
• Ensure the reliability, security, and performance of agentic AI systems in production.
• Mentor and guide engineering teams on best practices in AI system design and agent-based architectures.
• Stay at the forefront of AI research, applying advances in reinforcement learning, automated reasoning, and distributed AI to enhance Skylar capabilities.
• Contribute to ScienceLogic’s intellectual property and represent the company in technical forums.

Requirements

• 10+ years of experience in software engineering focused on AI, autonomous systems, or multi-agent architectures.
• Master’s or PhD in Computer Science, AI, Robotics, or related field preferred; bachelor's degree is required.
• Research experience in LLM and agentic orchestration.
• Proven expertise in designing and implementing agent-based systems and orchestration frameworks.
• Strong programming skills in Python, C++, or Java.
• Experience with AI/ML frameworks such as LangChain, LangGraph, TensorFlow, or PyTorch, and reinforcement learning techniques.
• Deep understanding of distributed systems, concurrency, and scalable software design.
• Familiarity with natural language processing, knowledge representation, and automated reasoning is a plus.
• Excellent leadership, communication, and problem-solving skills.
• Track record of delivering complex AI projects from concept to production.
• Domain experience in Network Monitoring, Infrastructure Monitoring, Machine Learning/AI, scalable architectures, Cloud (Private, Public, Hybrid) Technologies, Design and operational expertise in Software as a Service (SaaS) systems is a big plus.

Company Information

In a world of constant change, ScienceLogic is leading the charge towards truly autonomous enterprises. Our cutting-edge platform harnesses the power of automation and generative AI to revolutionize how businesses manage and optimize their IT operations. We are not just adapting to digital transformation—we're accelerating it. Our solutions bring business and operations leaders together, unlocking new levels of innovation, efficiency, and scalability. We empower organizations to deliver superior customer experiences and drive revenue growth in an always-on, always-mobile world. We are leading the charge toward truly autonomous enterprises with our Skylar AI platform—an advanced AI suite that revolutionizes IT operations by harnessing generative AI, unsupervised machine learning, and human-in-the-loop automation. Skylar AI delivers deep autonomous real-time data visualization, exploration, and advanced analytics to help organizations stay ahead in an increasingly complex and competitive digital landscape.

Benefits & Perks

• Flexible work arrangements supporting work-life balance.