AI engineers

Looking for AI engineers

Workload:  full-time
Start: asap
Duration: long-term
English: B2

More details about the positions are specified below:
Client’s Continuous Security Validation enables companies to challenge, assess, and optimize their cybersecurity posture against the evolving cyberthreat landscape, simply and continuously. It strives to bring the highest level of service to everything we do. Their team is made up of the very best people for the job, and as they grow, they’re always on the lookout for people with the skills, experience, and personality that will let them both shine.

What Does the Team Do?
The AI team is an integral part of the Client’s R&D department. They develop innovative AI Agents (Agentic AI) that enable customers to operate, investigate, and analyze their environments intelligently and automatically through the client’s platform. In addition, the team researches and develops new AI models to enhance user experience, optimize processes, and strengthen the cybersecurity capabilities of their products.
Responsibilities
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.
Requirements and Experience
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 – a strong advantage.
Familiarity with cybersecurity – a strong advantage.
Knowledge in MLOps, fine-tuning, and vector databases – an advantage.
Excellent problem-solving skills and ability to thrive under tight deadlines.
Proactive mindset, team player, and ability to provide technical leadership.
Must speak intermediate plus English.
Must be a team player, hard worker, trustworthy, reliable, responsible, motivated, and a long-term player.