Top AI Engineer Jobs in San Francisco Bay Area, CA

Lead AI Engineer responsible for developing AI-powered products and deploying scalable AI solutions using technologies like LLM and machine learning algorithms. Collaborate with cross-functional teams to optimize performance and support AI systems.

The Staff Applied AI Engineer will lead AI-powered product development, focusing on multi-agent systems, workflow automation, and application UI generation, shaping the architectural direction and platform integration.

As a Staff AI Engineer, you'll lead AI product development, overseeing technical direction, system deployment, and model evaluation while collaborating across teams.

As an AI Engineer, you will develop and optimize AI systems for legal tasks, work on integrating models, and establish evaluation frameworks to enhance decision-making capabilities in complex legal workflows.

Lead technical direction for AI Receptionist platform, oversee engineering quality, collaborate with executives, and mentor future hires.

The role involves architecting a scalable AI platform, building distributed compute solutions, optimizing technologies, and mentoring internal talent in AI and ML.

You will manage customer technical relationships, design AI solutions, implement integrations, provide strategic advisory, and synthesize feedback for product evolution.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

The Senior Software Engineer will lead projects and develop AI/ML features using Python and Go, focusing on model services and APIs.

The role involves providing technical leadership, building AI application services, maintaining APIs, and collaborating on design and operational excellence with SRE/DevOps teams.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

AI Engineers at Hex will build AI experiences, manage search and context architecture, and work on scalable AI applications. Responsibilities include running experiments, developing infrastructure, and leading initiatives for new capabilities.

The AI Engineer will focus on building AI experiences, deploying models, and enhancing data workflows, working on greenfield applications. Key responsibilities include feature development, architecture collaboration, and shipping impactful product experiences.

Lead the design, development, and deployment of AI software components while partnering with engineers and scientists to deliver innovative AI solutions at Capital One.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

This role involves defining AI architecture, improving system quality, leading teams, and building production-ready AI systems at Drata.

Lead the design and development of advanced AI agents for cybersecurity, focusing on real-time decision-making and adaptive threat responses, while mentoring teams and collaborating across functions.

The AI Engineer will architect and implement AI solutions in marketing workflows, improving efficiency and performance across various marketing operations.

As a Principal AI Engineer, you will design and deploy AI applications, manage customer engineering for strategic accounts, and ensure technical feasibility while translating complex needs into solutions.

The Staff AI Engineer will lead backend architecture for AI/ML features in payments, focus on LLMs, collaborate with teams, and enhance payment experiences.

The Principal Engineer, AI/ML Architecture will define the technical direction for Coupa's AI platform, focusing on model training, evaluation, safety standards, and mentoring a team of ML and data engineers.

As an AI Engineer, you will develop AI solutions for growth marketing, focusing on LLMs, collaborating with teams, and optimizing AI-driven processes.

Lead the creation of innovative AI solutions for healthcare systems, serve as a trusted advisor, foster collaboration, and drive operational excellence while managing complex challenges in healthcare AI.

Drive the design and development of AI and ML solutions for member growth, leading technical architecture and mentoring engineers while focusing on advanced personalization and collaboration across teams.

Design and build AI systems for finance, automating workflows and ensuring high performance standards while delivering solutions rapidly to private equity clients.