Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

As a Senior Lead AI Engineer, you will design and develop advanced AI systems, collaborate with cross-functional teams, and introduce innovative AI techniques while mentoring others.

The Senior Lead AI Engineer will collaborate with cross-functional teams to design, develop, and implement AI software solutions, focusing on large-scale production systems and AI model optimization.

The Lead Data Engineer will design, develop, and implement technical solutions while collaborating with Agile teams and leveraging data technologies to solve business problems.

The role focuses on delivering AI-powered products by collaborating with a cross-functional team, developing AI models, engaging in applied research, and translating technical achievements into business impact.

Lead design, development, deployment, and support of large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, observability). Partner with cross-functional teams, introduce LLM optimization techniques, and shape technical vision and roadmap for foundational AI platforms to deliver scalable, responsible production AI capabilities.

Lead a team building AI-native, governed engineering harnesses and full-stack microservice systems. Design agentic orchestration, typed contracts, observability, CI/CD integration, and developer tooling to enable safe, auditable LLM-driven workflows in cloud environments.

As a Distinguished Engineer, you'll define banking's future in the cloud, lead engineering excellence, innovate solutions, and mentor talent at Capital One.

Lead multiple software engineering teams to develop AI-based marketing applications. Responsibilities include mentoring engineers, managing projects, and overseeing Agile practices.

As an Applied Researcher I, you'll work with cross-functional teams to develop AI-powered products, engage in applied research, and build foundation models using various technologies.

The role involves developing AI-powered products, conducting applied research, collaborating with a cross-functional team, and building AI foundation models. Candidates should be innovative, technical, and have a deep understanding of AI methodologies.