Staff Ai Engineer

Summary

Join our team as a remote Generative AI Engineer and collaborate with cross-functional teams to identify impactful use cases for generative AI. You will build robust APIs for seamless model integration and ensure the reliability, scalability, and security of our AI systems. This role requires 7+ years of experience in ML engineering, with at least one year in developing generative AI products. You should possess expertise in MLOps, GCP ecosystem, and advanced LLM design patterns. We offer a remote-first culture with competitive salaries, benefits, equity, and engaging team activities. Our benefits package includes medical, vision, dental, disability, and life insurance, parental and military leave, 401k matching, annual bonuses, and more.

Requirements

• 7+ years of experience ML engineering, with 1 or more years of developing generative AI products
• Experience with advanced LLM design patterns, at a minimum with Retrieval-Augmented Generation (RAG)
• 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
• Expertise in MLOps: deployment, model monitoring, and CI/CD workflows
• Experience in the GCP ecosystem
• 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

Preferred Qualifications

• Familiarity with Snowflake Cortex functionality
• Hands-on experience with DBT for transforming and managing data workflows
• Strong expertise in large language model (LLM) concepts, including prompt engineering, evaluation of AI features and metrics, model fine-tuning, and working with vector databases

Benefits

• Medical, vision, dental, disability, and life insurance
• Parental and military leave
• Employee assistance program
• 401k + match
• Annual bonus
• Pet insurance
• RSUs
• Paid parking
• 10 paid holidays