About the job
About CodeNinja
CodeNinja is a leading global AI and engineering services firm dedicated to empowering enterprises in the development, scaling, and management of intelligent systems. With a talented workforce of over 350 engineers spanning four continents and more than 400 successful deployments, we facilitate organizations in leveraging artificial intelligence through our Global Capability Centers, Work AI, Physical AI, and AI Labs. As one of Pakistan's fastest-growing AI companies and a multi-award recipient on Clutch, CodeNinja is proud to help over 250 clients worldwide innovate, automate, and thrive in the intelligence economy.
Role Overview
We are seeking a proactive and skilled Senior AI Engineer to design, develop, and manage AI-driven software systems that provide immediate and tangible value. This position lies at the nexus of software engineering, product engineering, and applied artificial intelligence, emphasizing practical implementation over theoretical research. As a key player in CodeNinja's AI-first operational strategy, you will utilize Large Language Models (LLMs), AI agents, and automation to significantly enhance software development, deployment, and operations.
Key Responsibilities
- Design, develop, and maintain production-grade software systems with AI as a fundamental component.
- Implement agentic solutions and automation frameworks to address concrete business and product needs.
- Convert product specifications into scalable, secure, and reliable AI-enabled solutions.
- Focus on practical applications of AI, including prompting, orchestration, integration, evaluation, and deployment.
- Integrate AI in daily engineering tasks such as AI-assisted code generation, debugging, refactoring, and testing.
- Continuously enhance AI integration throughout the software development lifecycle to improve efficiency, quality, and output.
- Collaborate effectively with Product, Scrum, and Engineering teams to deliver AI-enhanced features from conception to completion.
- Contribute to shared platforms, services, and internal tools that facilitate large-scale AI-native development.
- Ensure that AI-enabled systems comply with standards for security, performance, and reliability.
- Develop monitoring, safeguards, and evaluation mechanisms for AI behavior in production environments.
- Take full responsibility for solutions from initial design through deployment and ongoing maintenance.

