REQUIREMENTS

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• 3+ years of experience in software development, with strong proficiency in Python (and optionally Go, Java, or Node.js).
• Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, or OpenCV.
• Experience building automation scripts, bots, or process workflows using tools like Airflow, Ansible, or similar.
• Solid understanding of REST APIs, databases (SQL/NoSQL), and cloud services (AWS, Azure, GCP).
• Good grasp of version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes).
• Strong problem-solving ability and a collaborative mindset.

PREFERRED QUALIFICATIONS

• Experience with edge AI, IoT, or smart building systems.
• Knowledge of automation in cybersecurity or infrastructure management.
• Exposure to large-scale distributed systems or AI model deployment in production.
• Contributions to open-source projects or AI automation tools.
• Familiarity with DevOps practices and Infrastructure-as-Code.

ROLE OVERVIEW

We are looking for a passionate and skilled Software Engineer – AI & Automation to join our growing R&D and engineering team. In this role, you will be responsible for designing, developing, and deploying intelligent software systems that leverage artificial intelligence and automation to streamline processes, improve system intelligence, and drive innovation across various domains, including cybersecurity, smart infrastructure, and industrial automation.
This is an exciting opportunity to work at the intersection of AI, systems engineering, and intelligent automation in a dynamic, future-forward company.

KEY RESPONSIBILITIES

• Design and implement scalable software systems that integrate AI algorithms and automation workflows.
• Develop and maintain AI/ML pipelines for tasks such as anomaly detection, predictive analytics, computer vision, and natural language processing.
• Build APIs, microservices, and backend infrastructure to support AI-driven applications.
• Automate repetitive processes and optimize workflows using scripting, task orchestration, and intelligent agents.
• Work closely with data scientists, AI researchers, and domain experts to bring prototypes into production.
• Conduct unit testing, performance tuning, and code reviews to ensure high-quality, maintainable code.
• Integrate software with cloud platforms, edge devices, or enterprise systems as needed.
• Document system design, architecture, and best practices.