AI Engineer

In the assigned Job Role of Specialist Programmer, your Area Of Responsibility will be as below:
⦁ Analyze user stories and use cases to ensure accurate understanding for production-ready delivery.
⦁ Contribute to define design specifications and technology frameworks and assist in creation of reusable assets to enhance productivity and support complex technology projects.
⦁ Deliver high-quality, optimized and efficient code across applications and databases, engage in debugging complex routines and build automation.
⦁ Support the team to foster a robust technical environment and ensure error-free coding.
⦁ Participation in knowledge transfer sessions and assist in utilizing reverse engineering methodologies to support the transition process.
⦁ Assist in deploying solutions for future projects exploring new technologies through initial prototypes.
⦁ Facilitate adoption of emerging technologies through POC initiatives aligned to business needs.
⦁ Support in implementation of technical services to meet quality service (QoS) requirements
⦁ Contribute to development of reusable assets with specific focus on productivity improvement and support resolution of critical production issues.
⦁ Interface with customers during warranty support to ensure issues are fixed in a timely manner.
⦁ Address technical issues during testing to ensure a reliable, production-ready codebase.
⦁ Assist in mitigating risks by flagging them and support timely resolution in co-ordination with the team.
⦁ Fix issues during testing phases to ensure error-free, clean releases.
Your contribution to the team:
A knack of designing and developing scalable, high-quality and optimized solutions that meet complex business needs. The ability to evaluate and adopt emerging technologies, translating them into practical prototypes and deployment-ready strategies. The ability to build reusable frameworks, automation scripts, and knowledge assets that enhance team productivity. Strong problem solving mindset to debug complex technical issues and deliver error-free and reliable outcomes. Commitment to quality, performance and risk management, ensuring resilient and efficient project delivery. Proactive collaboration with internal team and client to drive knowledge sharing, continuous improvement and innovation.