Staff AI Engineer

At the forefront of decentralized AI and data privacy, we specialize in developing cutting-edge technologies that enable intelligent cybersecurity services through our proprietary "always-on" sentinel, TOBi® (TouchBrick Intelligence). Our team is driven by a passion for innovation and a commitment to protecting sensitive data across enterprises. We seek a Staff AI Engineer to join our team and contribute their expertise in serverless cloud compute, advanced language modeling, and Google Vertex API integration.

Responsibilities:

• Design, develop, and optimize serverless cloud computing architectures for AI workloads, with a focus on advanced language modeling and natural language processing (NLP) applications.
• Collaborate with cross-functional teams to define, design, and deploy new AI models and NLP features leveraging Google Vertex AI and other cloud-based AI services.
• Ensure the performance, scalability, and cost-effectiveness of AI deployments in serverless cloud environments.
• Participate in code reviews, testing, and debugging of AI models and related infrastructure.
• Stay up-to-date with the latest advancements in serverless cloud compute, language modeling, and AI/ML technologies.
• Contribute to the development of AI models, NLP pipelines, and related applications using graph and vector database technologies, C++, and Node.js.
• Leverage cloud development skills to integrate AI models and NLP services with cloud platforms like Google Cloud Platform (GCP) or Amazon Web Services (AWS).
• Develop a deep understanding of the range of AI/ML technologies, industry-leading product capabilities, and supported integration technologies and APIs.

Qualifications:

• Proven experience as a Senior AI Engineer or Senior Software Engineer with a strong background in serverless cloud computing, natural language processing (NLP), and language modeling.
• Extensive experience with serverless cloud platforms like Google Cloud Functions, AWS Lambda, or similar offerings.
• Deep understanding of advanced language modeling techniques, such as transformer models, few-shot learning, and prompt engineering.
• Proficiency in programming languages such as Python, C++, and Node.js, with experience in developing high-performance, scalable AI/ML applications.
• Familiarity with graph and vector database technologies, and their application in AI/ML workflows.
• Knowledge of AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Experience with Google Vertex AI, including model training, deployment, and monitoring.
• Understanding of cloud architecture patterns, containerization (e.g., Docker), and infrastructure-as-code (e.g., Terraform).
• Ability to write efficient, secure, well-documented, and clean code.
• Experience with automated testing, continuous integration, and deployment pipelines.
• Excellent analytical, problem-solving, and written/oral communication skills.
• Practical experience developing enterprise-class AI/ML systems is a requirement.
• Must have been a senior member of a highly successful AI/ML product development team where the candidate made significant architectural and programming contributions.