Software Engineer (Artificial Intelligence)

Skills Required:

At least 3-5 years prior relevant experience in software development / AI Engineering, with a proven track record of developing and deploying models that have driven business impact.
Proficiency in AI and machine learning, with a grasp of algorithms and data structure optimization.
A talent for developing AI bots and automation tools.
Fair background in MLOps practices tailored to managing the lifecycle of LLMs—training, fine-tuning, deploying, monitoring, and scaling.
Experience with or knowledge on managing ML models platforms (Google Vertex AI is a plus) and knowledge/experience in GenAI tools for generative model applications.
Has basic and practicing a developing understanding of REST APIs for creating scalable, maintainable connections between applications.
Basic to moderate skills in Docker and containerization technologies for consistent and efficient application deployment across environments.
Experience with scheduler tools or managing batch jobs and workflows efficiently.
Industry-standard comprehension in analyzing and editing system architectures is a plus.
Experience with Google Cloud Platform services, Kubernetes, and building scalable cloud-native applications is a plus.
Strong understanding of RESTful API development, cloud architecture, and both relational and NoSQL databases is a plus.
Excellent problem-solving skills, attention to detail, and the ability to work in a collaborative team environment.
Team-oriented, positively contributing to team morale and willing to help.