AI Engineer - Remote

Overview

LayerX is seeking an experienced AI Engineer to join our innovative AI team. In this role, you will design and develop advanced machine-learning models and AI-driven solutions to tackle complex cybersecurity challenges. You will be responsible for creating and deploying cutting-edge technologies, such as LLMs and anomaly detection systems while ensuring seamless integration into our scalable, cloud-native architecture. As a key contributor, you will directly impact the security of millions of web browsers across dozens of enterprise customers, driving measurable value and aligning your work with LayerX’s strategic goals.

In Short

• Design, develop, and deploy AI/ML models to enhance browser security and threat detection capabilities.
• Build scalable pipelines for data ingestion, preprocessing, and model deployment.
• Write clean, efficient, and maintainable code for AI solutions, integrating them seamlessly into existing infrastructure.
• Apply advanced machine learning techniques such as anomaly detection, NLP, and LLMs to solve cybersecurity challenges.
• Collaborate with cross-functional teams to integrate AI solutions into existing security workflows.
• Continuously evaluate and improve model performance using real-world data.
• Work in a data-driven environment, setting business-focused KPIs and aligning your work with clear ROI and organizational goals.
• You’ll work in an open and empowering environment, you’ll be encouraged to work on everything!

Requirements

• 6+ years of overall professional experience, including: At least 3 years of experience in AI/ML development with a focus on production-level systems and at least 3 years of experience in software development, with proficiency in Python.
• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field
• Solid understanding of machine learning concepts, and expertise in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Hands-on experience with large language models (LLMs), including fine-tuning and deploying LLMs for real-world applications.
• Familiarity with cybersecurity concepts and web-based security threats.
• Ability to work independently and collaborate effectively in a team environment

Benefits

• Master’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field
• Familiarity with LangChain Suite
• Familiarity with TypeScript
• Experience in deploying and maintaining models in production using tools like Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure).