Top Artificial Intelligence Engineer Jobs in San Francisco, CA

Seek a Senior Back End Engineer to develop AI-driven applications, mentor engineers, and solve complex engineering challenges while focusing on scalability and data integrations.

The Research Engineer will build environments for evaluation datasets, deliver custom datasets, and improve the evaluation harness based on skills and interests.

The Staff Software Engineer will architect and implement backend systems for LLM applications in healthcare, focusing on APIs, data pipelines, and compliance.

Own and scale core backend data infrastructure for an AI-driven logistics platform: design distributed systems, queues, databases, and real-time search; optimize reliability, throughput, and latency; set backend technical direction; mentor hires and collaborate with founders to deliver resilient, production-grade pipelines and search features.

Ensure production reliability, own CI/CD pipelines, manage AI infrastructure and databases, build observability and alerting, lead incident response and internal backend tooling to improve deployment frequency and reduce MTTD/MTTR.

Build and ship responsive, data-heavy frontend features using TypeScript, React, and Tailwind CSS. Own end-to-end product lifecycle, collaborate on AI integrations, and optimize production systems for logistics operators.

As an AI Product Engineer, you will develop and deploy LLM-powered language learning products, enhance existing features, and collaborate cross-functionally to optimize performance and user experience.

Develop and optimize AI models and training systems for robotics applications, focusing on design, implementation, and performance optimization of ML models.

As a Product Engineer, you'll implement AI features, collaborate with teams, prototype workflows, and improve developer processes at Vori.

Senior Software Engineer position focused on developing AI-powered systems in the trucking industry, leading projects from conception to delivery and mentoring other engineers.

The Solutions Architect will guide partners in leveraging OpenAI API and ChatGPT, ensuring high-impact integrations and providing technical support for applications and commerce experiences.

Build full-stack, user-facing features alongside ML engineers using TypeScript, Node.js, GraphQL, and Postgres. Implement and integrate AI/LLM/ML tools, own features end-to-end from design to production, maintain scalability/reliability/observability, participate in code reviews and design discussions, and contribute to product ideation and RFCs.

The role involves architecting and building backend systems, designing scalable data infrastructure, integrating AI into workflows, and shaping engineering culture within Clipbook. Collaboration with users and rapid iteration is emphasized, requiring strong ownership and adaptability.

The role involves managing partnerships in the AI ecosystem, developing technical solutions, and representing Visa in various AI and developer communities, focusing on AI-native integrations and commercial agreements.

Collaborate with cross-functional teams to develop scalable automation tools, focusing on software solutions and driving innovation while mentoring junior team members.

The Rack Product Engineer will manage the development, manufacturing, and lifecycle of rack infrastructure for datacenters, ensuring reliability and efficiency in collaboration with various engineering teams.

The Senior AI Software Engineer will lead the development of AI-enabled software systems, ensuring high reliability and safety while managing end-to-end delivery and integration.

The Senior AI Platform Engineer will design and build backend services for AI workflows, ensuring reliability, security, and scalability, while collaborating with engineers to establish standards for operational quality in a dynamic environment.

Design, develop, and maintain an AI platform; optimize cloud infrastructure; integrate AI with blockchain systems; ensure security; innovate with trends.

As a Senior Application Engineer, you will develop AI agents using Salesforce Agentforce, create automations, and troubleshoot complex issues while collaborating with teams and mentoring junior engineers.

Design and implement backend services for an AI-driven automation platform, focusing on LLM orchestration, API development, and system reliability.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

The AI Automation Engineer Tech Lead will design, implement, and oversee AI-powered solutions and automation workflows while collaborating with business department leaders.

The AI Optimization Engineer will define optimization strategies, design algorithms, and collaborate with teams to deliver solutions for process manufacturers, focusing on real-world impact and technical achievement.

Build and scale responsive, data-heavy frontend dashboards and human-in-the-loop interfaces using TypeScript/React. Own product lifecycle from discovery to production, ensure system reliability, collaborate on AI feature integration, and mentor teammates while working closely with founders in San Francisco.