Staff AI Engineer

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Requirements:

• 7+ years of experience ML engineering, with 1 or more years of developing generative AI products.
• You have experience with advanced LLM design patterns, at a minimum with Retrieval-Augmented Generation (RAG).
• You have experience or knowledge of ML traditional techniques (supervised / unsupervised systems or neural networks) and be able to pin point when a solution requires an LLM solution or an ML solution.
• Experience designing and building APIs and deploying them into a production environment.
• You have expertise in MLOps: deployment, model monitoring, and CI/CD workflows.
• You have experience in the GCP ecosystem.
• You have excellent problem-solving, system design, and technology decision-making skills.

Responsibilities:

• Build and maintain robust APIs that integrate generative AI models into production systems, ensuring scalability and low latency.
• Collaborate with cross-functional teams to identify use cases for generative AI, define requirements, and deliver impactful solutions.
• Implement and optimize workflows for model training, fine-tuning, and inference using large-scale pre-trained models .
• Develop and manage end-to-end pipelines for generative AI models, including preprocessing, model deployment, monitoring, and retraining.
• Conduct experiments to evaluate generative AI models and fine-tune them for real-world performance metrics such as fluency, coherence, and factual accuracy.
• Stay at the forefront of advancements in generative AI research and integrate cutting-edge techniques into the organization’s capabilities.
• Ensure reliability, scalability, and security in the deployment and operation of generative AI systems.
• Document processes, architectures, and technical decisions to facilitate collaboration and future improvements.