Principal AI Engineer - Servicing Solutions
GoodleapSalary not specified
- Full Time
- Expert & Leadership (9+ years)
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries
Requirements
Candidates should possess 10+ years of experience in software engineering with a focus on AI, autonomous systems, or multi-agent architectures, requiring a Master’s or PhD in Computer Science, AI, Robotics, or a related field, or a bachelor’s degree. Research experience in LLMs and agentic orchestration is preferred, along with strong programming skills in Python, C++, or Java, and experience with AI/ML frameworks such as LangChain, LangGraph, TensorFlow, or PyTorch, and reinforcement learning techniques. A deep understanding of distributed systems, concurrency, and scalable software design is also necessary.
Responsibilities
The Agentic AI Machine Learning Engineer will architect and lead the development of scalable AI orchestration frameworks, design and build LLM-powered AI agents and services, drive innovation in multi-agent orchestration, collaborate with cross-functional teams, ensure the reliability and performance of agentic AI systems, mentor engineering teams, stay at the forefront of AI research, and contribute to ScienceLogic’s intellectual property.
Skills
Large Language Models (LLMs)
autonomous agents
agentic AI
AI orchestration
scalable software development
AI reasoning and learning
AI system design
software development across multiple stacks
ScienceLogic
IT operations management platform for monitoring
About ScienceLogic
ScienceLogic specializes in IT operations management, providing a platform called SL1 that helps businesses monitor and manage their IT infrastructure and applications. The SL1 platform is designed for organizations that depend on technology, such as large enterprises, managed service providers (MSPs), and government agencies. It offers tools for automating and streamlining IT operations, ensuring that systems run smoothly and efficiently. Clients pay a subscription fee to access SL1, which comes in different service tiers to accommodate various needs and budgets. Additionally, ScienceLogic offers professional services to assist clients in implementing and optimizing the platform. The company's goal is to support businesses in maintaining high performance and reliability in their IT systems.
Key Metrics
Reston, VirginiaHeadquarters
2003Year Founded
$228.8MTotal Funding
LATE_VCCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
501-1,000Employees