The role involves designing, building, deploying, and maintaining software solutions powered by artificial intelligence, machine learning, and generative AI. The engineer will bridge the gap between software engineering and machine learning by transforming models into scalable, secure, and production-ready systems. Responsibilities include integrating AI models into backend services and enterprise systems while ensuring code is clean, testable, and efficient. The individual will collaborate with stakeholders to understand requirements and align technical outputs with business goals. Additionally, the role requires monitoring solution performance and ensuring that all developments adhere to ethical, security, and regulatory standards.

The role requires technical expertise in developing, evaluating, and optimizing machine learning and generative AI solutions. Candidates must possess hands-on experience with Python, REST APIs, microservices, and React.Js, as well as proficiency in handling LLMs, prompt engineering, embeddings, vector databases, and RAG solutions. The position necessitates the ability to build scalable, modular applications and deploy models using containers and cloud platforms. Furthermore, the individual must be capable of addressing model bias, security, and privacy concerns while collaborating effectively with product managers and domain experts.