Senior AI Engineer

About the Company CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems.
With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs.
Recognized among Pakistan’s fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy.
About the role We are looking for a hands-on AI Engineer responsible for designing, developing, and operating AI-powered software systems that deliver immediate, real-world value.
This role sits at the intersection of software engineering , product engineering , and applied artificial intelligence , with a strong focus on practical implementation rather than research or theoretical model development.
As part of CodeNinja’s AI-first operating model , you will leverage LLMs , AI agents , and automation to fundamentally improve how software is built, deployed, and operated.
Key Responsibilities Design, build, and operate production-grade software systems with AI embedded as a core capability.
Apply agentic solutions and automation frameworks to solve concrete business and product challenges.
Translate product requirements into scalable , secure , and reliable AI-enabled solutions .
Focus on applied AI usage including prompting , orchestration , integration , evaluation , and deployment .
Use AI directly in daily engineering work, including AI-assisted code generation, debugging, refactoring, and test creation.
Continuously evolve AI usage across the software development lifecycle to improve speed, quality, and leverage.
Collaborate closely with Product , Scrum , and Engineering teams to deliver AI-powered features end to end.
Contribute to shared platforms , services , and internal tools that enable AI-native development at scale.
Ensure AI-enabled systems meet standards for security , performance , and reliability .
Implement monitoring , safeguards , and evaluation mechanisms for AI behavior in production.
Take full ownership of solutions from design through deployment and ongoing operation.
Stay current with emerging AI tools , platforms , and implementation patterns.
Provident Fund Gym Membership Leaves as per the company policy Company-paid trips Easy Loan Facility for Employees Yearly increment Maternity Benefits (Leaves & WFH) Health Insurance (Maternity covered) – includes spouse and parents (till age 80) Bachelor’s degree in Computer Science , Engineering , or a related technical field, or equivalent practical experience.
Strong software engineering fundamentals with experience building and operating production systems.
Hands-on experience of 4+ years applying AI in real-world software contexts , including LLMs , AI agents , automation , or AI APIs .
Ability to move from problem definition to working solution quickly and reliably.
Comfortable working autonomously in small, highly empowered teams.
Experience integrating frontier AI models or platforms into SaaS or enterprise applications is a plus.
Familiarity with cloud-native architectures and modern development stacks is preferred.
Experience in regulated , enterprise , or mission-critical environments is an advantage.
Background in product-oriented engineering teams is beneficial.
Why Join Us Work at the forefront of AI-first software engineering , redefining how software is built today.
Build real, production-grade AI-enabled systems with measurable impact.
Operate with high ownership and autonomy, amplified by powerful AI tools.
Collaborate with talented engineers and product leaders in an innovation-driven environment.
Be part of a culture that values execution , learning , and engineering excellence .
Disclaimer CodeNinja is an equal opportunity employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees.
All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, and performance.
Female and minorities are strongly encouraged and preferred to apply for the role.