Job description
Who we are…
In a world of constant change, we’re 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’re 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.
What we’re looking for…
ScienceLogic is seeking an experienced Agentic AI Machine Learning Engineer specializing in LLMs and autonomous agents and agentic AI to work on an innovative AI-driven orchestration engine that empowers organizations to automate complex workflows through intelligent, proprietary and 3rd Party AI agents.
We are looking for people with a very technical background in software development across multiple technology stacks in the development of highly scalable software services and systems.
What you’ll be doing…
- 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
Qualities you possess…
- 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.
Benefits & Perks
Flexible work arrangements supporting work-life balance.
Comprehensive medical, dental and vision plans.
401(k) plan with employer match.
Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize.
Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization.
5-year Service Milestone Sabbatical.
Paid parental leave.
Generous employee referral bonus program.
Pet insurance.
HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays.
Regular virtual company-wide events, including cooking classes, yoga, meditation and more.
The opportunity to learn and develop from some of the best and brightest minds in the industry!
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.
About ScienceLogic
ScienceLogic empowers intelligent, automated IT operations, freeing up time and resources, and driving business outcomes with actionable insights. ScienceLogic’s AIOps platform sees broadly across clouds and on-premises, enabling business service visibility with relationship mapping, and workflow automation to eliminate manual tasks. Trusted by thousands of organizations across the globe, ScienceLogic’s technology has been proven for scale by the world’s largest service providers, enterprises and government agencies.
About Skylar AI
Skylar AI is ScienceLogic’s groundbreaking suite of advanced AI capabilities designed to revolutionize IT operations (ITOps). Leveraging GenAI and agentic AI, Skylar AI reasons over telemetry and stored knowledge to deliver accurate predictions, context-rich recommendations, and intelligent automations. Its core services—Skylar Advisor, Skylar Analytics, and Skylar Automated Root Cause Analysis—enable proactive management, rapid troubleshooting, and exceptional customer experiences by automating complex operational tasks and anticipating issues before they occur.
www.sciencelogic.com
All ScienceLogic employees have the responsibility to protect information assets, adhere to access controls, report suspicious activity, and comply with security and privacy policies.
