Generative AI Engineer

Summary

Join Centric Software as a Generative AI Engineer and contribute to the development and implementation of cutting-edge AI solutions for the fashion and consumer goods industries. You will bridge the gap between advanced AI research and real-world applications, creating seamless integrations that enhance product personalization and customer experiences. This role involves leveraging existing frameworks, APIs, and third-party partners to build robust, production-ready Generative AI solutions. You will collaborate with researchers and developers, optimize systems for performance and scalability, and continuously monitor and improve deployed solutions based on feedback. The ideal candidate possesses strong expertise in Generative AI, cloud infrastructure, and API integration, along with excellent communication and problem-solving skills.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• Strong expertise in deploying and optimizing Generative AI models using existing frameworks. Expertise in Generative AI, including diffusion models, LoRA, and advanced training methodologies
• Hands-on experience with cloud infrastructure and scalable GPU system design
• Proficiency in integrating third-party APIs and creating end-to-end AI workflows
• Strong problem-solving skills and the ability to work in fast-paced, cross-functional teams
• Proven ability to translate research concepts into practical prototypes and solutions
• Excellent communication skills, with the ability to collaborate effectively within cross-functional teams
• Strong programming skills in Python and familiarity with other programming languages commonly used in AI research
• Strong organizational skills with the ability to manage multiple research projects simultaneously

Responsibilities

• Implement, integrate, and optimize Generative AI workflows using technologies such as ComfyUI, Flux, LoRA, and third-party APIs
• Build and deploy scalable AI pipelines to handle large-scale data and real-time processing
• Collaborate with researchers and developers to transition prototypes into fully functional solutions
• Optimize systems for performance, scalability, and reliability across various customer applications
• Work with cloud-based infrastructures to support the deployment and scaling of AI solutions
• Continuously monitor and enhance deployed solutions based on performance and customer feedback

Preferred Qualifications

Knowledge of AI/ML frameworks (TensorFlow, PyTorch) is a plus