Full-Time

Principal Agentic AI Machine Learning Engineer

Confirmed live in the last 24 hours

ScienceLogic

ScienceLogic

501-1,000 employees

IT operations management platform for businesses

No salary listed

Expert

Reston, VA, USA

Remote work is available for candidates based in the US.

Category
Applied Machine Learning
AI Research
AI & Machine Learning
Required Skills
LLM
Python
Tensorflow
Pytorch
Java
LangChain
C/C++
Reinforcement Learning
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.
  • Excellent leadership, communication, and problem-solving skills.
  • Track record of delivering complex AI projects from concept to production.
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.
Desired Qualifications
  • Familiarity with natural language processing, knowledge representation, and automated reasoning is a plus.
  • 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.

ScienceLogic focuses on IT operations management with its SL1 platform, which helps businesses monitor and manage their IT infrastructure and applications. This platform is particularly beneficial for large enterprises, managed service providers (MSPs), and government agencies that rely on technology for their operations. Clients subscribe to SL1 for a recurring fee, gaining access to automation tools that streamline IT processes, and can choose from different service tiers based on their needs. The company's goal is to be a leading provider in the IT operations management market, ensuring organizations can effectively manage their IT systems.

Company Size

501-1,000

Company Stage

Late Stage VC

Total Funding

$235.2M

Headquarters

Reston, Virginia

Founded

2003

Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for hybrid cloud management boosts ScienceLogic's market potential.
  • Recognition in AIOps platforms report indicates strong market position and adoption potential.
  • Skylar AI introduction aligns with trends towards intelligent automation in IT operations.

What critics are saying

  • Emerging AIOps platforms could erode ScienceLogic's market share.
  • Rapid technological changes may outpace ScienceLogic's platform adaptation.
  • Potential EU regulatory changes could impose additional compliance costs for ScienceLogic.

What makes ScienceLogic unique

  • ScienceLogic's SL1 platform offers comprehensive hybrid cloud management and monitoring solutions.
  • The company is recognized as a leader in AIOps platforms by Forrester.
  • ScienceLogic's inclusion in the CRN Edge Computing 100 highlights its edge computing capabilities.

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Benefits

A remote-first culture

Comprehensive medical, dental & vision plans

401(k) plan with employer match

Flexible Paid Time Off (FTO)

Volunteer Time Off (VTO)

5-year service milestone sabbatical

Paid parental leave

Generous employee referral bonus program

Pet insurance

Well-stocked kitchen with rotating snacks and beverages

Regular virtual company-wide events

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

0%
ScienceLogic
May 5th, 2025
Stop Playing IT Whack-a-Mole: The Smarter Way to Prevent Outages Before They Happen

See why ScienceLogic has been named a Leader in the latest Forrester Wave(TM): AIOps Platforms report with the highest score in the Strategy category compared to other participants.

Silicon Canals
Apr 15th, 2025
ScienceLogic Named a Leader in AIOps Platform Report

RESTON, Va. - (BUSINESS WIRE) - ScienceLogic(R), a leader in intelligent automation and observability, today announced it has been named a Leader in The Forrester Wave(TM): AIOps Platforms, Q2 2025.

CityBiz
Mar 26th, 2025
ScienceLogic Names Andrew Perry VP of Sales, Americas

RESTON, Va. - (BUSINESS WIRE) - ScienceLogic, a leader in automated IT operations and observability, announced the hiring of Andrew Perry as vice president of sales, Americas.

Business Wire
Nov 4th, 2024
ScienceLogic(R) Named to the Prestigious 2024 CRN Edge Computing 100

ScienceLogic earned recognition on the CRN Edge Computing 100 list on behalf of its ScienceLogic AI Platform, which addresses visibility gaps and fragmented monitoring to deliver the critical observability insights necessary to prevent outages.

Next Tech Today
Oct 21st, 2024
ScienceLogic: AI Adoption Challenges in IT Operations

ScienceLogic, a leader in automated IT operations and observability, today unveiled the results of comprehensive enterprise IT research with the publication of its whitepaper, "The Future of AI in IT Operations: Benefits and Challenges."