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We are seeking a highly skilled and motivated Python/Generative AI Developer to join our growing team. The ideal candidate will be responsible for designing, developing, and deploying advanced Generative AI models and applications, including sophisticated chat interfaces. You will work on various aspects of the AI lifecycle, from research and prototyping to production deployment, contributing to solutions that drive innovation and efficiency within our organization.
Job Responsibility
Design, develop, and implement Generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models) using Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch)
Integrate Generative AI capabilities into existing systems and develop new AI-powered applications
Build and maintain dynamic and responsive chat interfaces for Generative AI solutions using React, incorporating features such as HTTP streaming for real-time updates, asynchronous processing for efficient user experience, secure file upload capabilities, and advanced chat formatting
Conduct research and stay up-to-date with the latest advancements in Generative AI, natural language processing, and machine learning
Optimize and fine-tune AI models for performance, scalability, and efficiency
Develop robust data pipelines for training, evaluation, and deployment of AI models
Collaborate with data scientists, machine learning engineers, and product managers to define requirements and deliver solutions
Ensure the responsible and ethical deployment of AI models, adhering to best practices and regulatory guidelines
Write clean, maintainable, and well-documented code, adhering to software development best practices
Participate in code reviews, contribute to architectural discussions, and provide technical guidance
Troubleshoot and debug AI models and applications, identifying and resolving performance bottlenecks and issues
Requirements
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
8+ years of professional experience in software development, with a strong focus on Python
Proven experience with Generative AI models, including hands-on experience with large language models (LLMs) or other generative architectures
Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX
Experience with Google ADK or similar Google AI/ML platforms and SDKs
Strong front-end development skills, particularly with React, for building interactive user interfaces
Demonstrable experience in implementing chat functionalities, including handling HTTP streaming, asynchronous operations, managing file uploads, and applying various chat formatting techniques
Solid understanding of machine learning principles, algorithms, and data structures
Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices for deploying and managing AI models
Familiarity with containerization technologies (e.g., Docker, Kubernetes)
Strong problem-solving skills and the ability to work independently and as part of a team