Entry Level AI Engineer

As a leading provider of AI-powered extended managed detection and response (MXDR) services, Ontinue is

on a mission to be the most trusted, 24/7, always-on security partner that empowers customers to embrace

the future by using AI to operate more strategically, at scale, and with less risk. We believe that the

combination of AI and human expertise is essential for delivering effective managed security that is tailored

to a customer’s unique environment, operational constraints, and risks.

Our MXDR service combines powerful proprietary AI with a one-of-a-kind collaboration model to

continuously build a deep understanding of our customers’ environments, informing how we prevent,

detect, and respond to threats. Our unrivaled Microsoft expertise allows customers to achieve these

outcomes with the Microsoft Security tools they already own. The result is highly localized managed

protection that empowers security teams to be faster, smarter, and more cost efficient than ever before.

Continuous protection. AI-powered Nonstop SecOps. That’s Ontinue.

Your mission:

At Ontinue, we’re building an environment where you can thrive. We encourage collaboration and cross-

functional learning. We’re more than just a steppingstone on your resume. We’re a company where you can

thrive and grow.

As an AI Engineer, you will collaborate closely with our Product, Engineering, and Security teams to design

and deploy advanced AI/ML solutions that power our MDR platform, ION. You will focus on building

intelligent systems that enhance threat detection, automation, and decision-making, using cutting-edge AI

research and methodologies. Your work will be central to ensuring Ontinue’s platform is not only reactive but predictive, setting a new standard for smart, proactive cybersecurity operations.

Your first three months at Ontinue:

• Connect with Product Managers, Engineers, and Security Analysts to understand Ontinue’s vision for AI-driven MDR.
• Deeply familiarize yourself with ION, Ontinue's Microsoft-based MDR platform, and identify areas where AI can drive innovation.
• Contribute to the enhancement of current generative AI applications, AI Agentic workflows and data pipelines.
• Collaborate with engineering teams to integrate models into production at scale.
• Understand Ontinue’s value proposition and actively seek opportunities to make our AI capabilities a core differentiator.

Your experience may include:

• Design and development of agentic or generative AI systems into production environments.
• Design and optimization of scalable data pipelines for AI/ML training and inference.
• Building, training, evaluating, and deploying machine learning and deep learning models (classification,anomaly detection, clustering, NLP, time-series forecasting, etc.).
• Practical use of supervised, unsupervised, and reinforcement learning techniques.
• Model monitoring, retraining strategies, and AI lifecycle management (MLOps).
• Translating business and technical problems into AI/ML solutions.
• Implementing the latest AI methods, adapting academic innovations into real-world applications.
• Collaboration across multi-disciplinary teams (product, engineering, domain experts) to deliver impactful AI features.

Skills we are looking for:

• Good knowledge of Python, with strong skills in data libraries and AI/ML engineering tools and frameworks.
• Good software engineering skills with a focus on best practices (object-oriented programming, testing, debugging, asynchronous programing).
• Hands-on experience deploying AI models into cloud environments (preferably Azure, but AWS or GCP is welcome).
• Knowledge of large language models (LLMs), generative AI, agentic AI and their application to enterprise workflows.
• Ability to rapidly prototype, iterate, and optimize AI solutions for real-world constraints (e.g., latency, scalability).
• Strong communication skills with the ability to present complex AI concepts clearly to technical and non-technical audiences.
• A creative, self-motivated attitude toward problem-solving and innovation.

Nice to have:

• Background in AI-driven automation platforms or intelligent decision systems.
• Experience with Azure ML Studio, Azure Cognitive Services, or similar cloud-native AI tools.
• Experience in graph machine learning, knowledge graphs, and link prediction techniques.
• Research or publication experience in AI/ML, NLP, or applied ML domains.
• Experience integrating AI into cybersecurity products is a bonus but not required.

What We Offer:

We have been recognized as a top place to work! In addition to a competitive salary, we also offer great benefits and access to management and Microsoft training.

Come as you are! We search for amazing people of diverse backgrounds, experiences, abilities, and perspectives. Ontinue welcomes and encourages diversity in the workplace regardless of race, gender, religion, age, sexual orientation, disability, or veteran status.

Next Steps:

If you have the skills and experience required and feel that Ontinue is a place you can belong, we would love to get to know you better!

Please drop an application to this role and our talent acquisition manager will be in touch to discuss further.

Learn more: www.ontinue.com