AI Engineer

Make Your Mark

Cymulate's Continuous Security Validation enables companies to challenge, assess and optimize their cyber-security posture against the evolving cyberthreat landscape, simply and continuously.

With world-class clients we strive to bring the highest level of service to everything we do. Our team is made up of the very best people for the job and as we grow, we're always on the lookout for people with the skills, experience, and personality that will let us both shine. With high scores on Gartner, G2 and Glassdoor, our clients and employees have let us know what they love about us.

What Does The Team Do?

The AI team is an integral part of Cymulate's R&D department. We develop innovative AI Agents (Agentic AI) that enable customers to operate, investigate, and analyze their environments intelligently and automatically through the Cymulate platform. In addition, the team researches and develops new AI models to enhance user experience, optimize processes, and strengthen the cybersecurity capabilities of our products.

What You Will Do?

Design and develop Agentic AI systems, models, and an advanced infrastructure stack.
Build product components that integrate with internal systems, user experience, and advanced security features.
Research new technologies, libraries, and solutions in AI and Cyber domains.
Work in rapid sprints using Agile methodologies.
Collaborate with developers and product teams to improve processes and design system architecture.
Lead the adoption of advanced technologies and best practices in AI and Software Engineering.

What Will You Have?

Bachelor's/Master's degree in Computer Science, Engineering, or a related field.
4+ years of professional experience in software development of medium-to-large scale systems.
Proven experience with Python, Node.js, NestJS, TypeScript/JavaScript, React, Redis, MongoDB, Kafka, AWS, NX.
Hands-on experience with microservices, Docker, and Kubernetes.
Strong background in software architecture and system design.
Experience with LangGraph and LangChain – mandatory.
Experience developing and integrating with MCP (Model Context Protocol) in AI – strong advantage.
Familiarity with cybersecurity – strong advantage.
Knowledge in MLOps, fine-tuning, and vector databases – advantage.
Excellent problem-solving skills and ability to thrive under tight deadlines.
Proactive mindset, team player, and ability to provide technical leadership.