AI Engineer

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 – 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.

Must speak intermediate plus English.

Must be a team player, hard worker, trust worthy, reliable, responsible,

motivated and a long term player.