Top Artificial Intelligence Engineer Jobs in San Francisco, CA

Lead design, development, deployment, and support of foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, and observability. Optimize large-scale AI performance (cost, latency, throughput), partner cross-functionally, and contribute to technical vision and roadmap.

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

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

The Developer Productivity Engineer will enhance developer experience by creating automation frameworks, improving workflows, and resolving development issues.

The role involves developing and deploying AI-powered products, optimizing performance, and collaborating with cross-functional teams to advance AI technology at Capital One.

Build the execution layer for AI focusing on relational intelligence in natural conversation. Tasks include affect analysis, memory systems integration, prompt engineering, and cloud infrastructure setup.

As an AI Engineer III, you will design and improve AI-driven product features to enhance patient billing clarity and workflows in healthcare.

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 the design, development, and deployment of AI-driven products focusing on large language model optimization and integration. Collaborate with cross-functional teams to enhance Capital One's AI capabilities.

As a Senior Software Engineer, you will build AI platform features, provide technical leadership, drive projects, and maintain high-performance systems primarily using Python and Go.

Lead a technical team to drive sales strategy for Cloudflare's Developer Platform, mentor architects, enhance product offerings, and collaborate with executives and departments.

Build and enhance AI applications for enterprises, focusing on frontend development using modern technologies like Next.js and React. Collaborate with teams to create intuitive user experiences and optimize UI performance.

The Senior Lead AI Engineer at Capital One will design, deploy, and support AI systems, working with cross-functional teams to innovate and enhance customer interactions while ensuring scalability and performance.

Lead a cross-functional team to deliver AI-powered banking products, focusing on developing and supporting AI software components and optimizing LLM technologies.

Design, build, and deploy LLM-powered applications, collaborating with Data Science teams to ensure agent systems operate reliably in production. Handle full lifecycle from prototype to production, integrating APIs and managing workflows.

The role involves designing, implementing, and optimizing AI models for railroad operations while ensuring integration and collaboration across teams.

As an AI Product Engineer, you'll build and scale AI-powered features for Notion's Custom Agents, collaborating with teams to enhance user experience and implementing cutting-edge technologies.

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.

The Senior AI Enablement Engineer will design and build AI infrastructure and workflows, fostering company-wide adoption of AI-powered solutions by collaborating with various departments.

In this role, you will promote MongoDB's AI capabilities, engage with developers, create educational content, and build partnerships with AI companies.

As an AI Engineer at Fractional AI, you'll design and develop custom AI solutions, collaborate on projects, and contribute to the engineering culture.

The role involves improving AI-assisted coding tools, making internal systems API-ready, automating engineering tasks, and enhancing developer productivity across teams.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

The Generative AI Engineer will develop AI-driven features for medical records, collaborating with teams to create systems extracting and generating clinical insights from EHR data, while ensuring accuracy and clinical relevance.

As an AI Engineer, you'll lead backend implementation, build AI-powered products, and ensure high-quality systems, contributing to Elicit’s tech stack and user experience.