Top Artificial Intelligence Engineer Jobs in San Francisco, CA

Join Workato as a Software Engineer to build and maintain developer-facing products and APIs focusing on LLM applications, ensuring high-quality user experiences.

Design and build features that enhance user capabilities with AI, focusing on innovative interaction and integrating research insights into products.

The Partner Solutions Architect will drive technical engagement with systems integrators, maintaining relationships with stakeholders to ensure successful AI solutions deployment and delivering strategic guidance.

As an AI Solution Engineer, you will architect and demonstrate AI solutions, lead technical discussions, and assist customers with AI outcomes in pre-sales engagements.

The AI Research Engineer will design, build, and deploy AI systems for therapeutic discovery, collaborating with interdisciplinary teams and applying advanced AI techniques to improve model performance.

The AI Engineer will develop and optimize AI models and high-performance software systems for drug discovery, collaborating with researchers and maintaining infrastructure.

As a Senior Software Engineer, you'll develop AI-powered tools, manage complex databases, optimize application performance, and lead technical decisions.

You will build and design systems for a virtual infrastructure agent, focusing on cloud operations, user interfaces, and performance evaluation.

As an AI Product Engineer, you'll lead the development and integration of AI products using LLMs and other technologies while collaborating with cross-functional teams.

As a Principal Engineer, you'll lead the design and implementation of AI systems, influencing architecture and guiding teams while ensuring reliable and explainable AI solutions.

The AI Research Engineer will enhance LLM-powered workflows by developing evaluation systems, analyzing data patterns, and integrating research into practical applications.

The Software Engineer will build core products, collaborate with teams, design reliable features, and optimise GPU workloads using Kubernetes and cloud tech.

Design and maintain financial data models, develop data pipelines, create dashboards, and enable self-service data access for Finance stakeholders, leveraging AI for analytics.

The Analytics Engineer will build data infrastructure, manage data integrity, create dashboards, and enable data-driven marketing decisions. This role requires AI tool integration in daily work and collaboration with marketing stakeholders for insights and strategy.

The AI Analytics Engineer will build scalable AI-powered analytics infrastructure, design evaluation frameworks, and drive cross-functional adoption, transforming how analytics are approached within the organization.

The role involves designing and developing Quizlet's analytical data and ML infrastructure, emphasizing scalability and reliability while collaborating with cross-functional teams.

The Solutions Engineer partners with various teams to capture requirements, manage agile backlogs, design solutions, and enhance workflows through iterative improvements.

The role involves building and integrating full-stack features for an AI chat application, focusing on reliable workflows and real-time AI interactions.

The Senior Software Engineer will enhance AI system reliability, performance, and scalability, focusing on distributed services and collaborating with ML researchers.

Design, deploy, and improve endpoint systems with an automation-first mindset, using AI-driven tools for enhanced security and operational efficiency.

As a Senior Applied AI Engineer at Vanta, you'll design and implement AI-powered features, mentor engineers, and ensure AI systems improve customer experience, leveraging LLMs and full-stack development skills.

The AI Sales Engineer will build relationships with customers, lead product demonstrations, handle objections, and act as a domain expert in ML. Responsibilities include collaborating with sales and technical teams to create value propositions and developing educational materials about ML and MLOps.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

As an AI/ML Engineer, you will design, train, and deploy ML models for flight data analysis, providing actionable performance feedback for pilots.

The Quantitative Developer will build AI and ML models for investment strategies, collaborating across departments to implement AI solutions.