Top Artificial Intelligence Engineer Jobs in San Francisco, CA

Design, develop, and maintain full-stack applications; lead technical discussions, mentor junior members, and improve products and technologies.

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

As a Solutions Engineer, you'll design technical solutions for customers, conduct product demonstrations, and provide implementation guidance, ensuring client success in AI integration.

Provide technical support to public sector and enterprise customers, troubleshoot complex issues, translate security/compliance needs (FedRAMP), automate tooling via scripting and AI, collaborate with engineering and product teams to resolve issues, improve processes, and provide on-call coverage.

As a Software Engineer, you'll design and implement scalable data and AI solutions, participate in code reviews, troubleshoot issues, and collaborate across teams.

The Engineering Manager will lead a cross-continent team to enhance engineering productivity using AI tools, collaborate across departments, and deliver innovative product experiences.

Lead the design and build of automation infrastructure for GTM, enhancing sales and marketing efforts through advanced engineering solutions.

The AI Forward Deployed Engineer designs and implements AI solutions, collaborating with stakeholders, enhancing reliability, and producing reusable resources. Responsibilities include diagnosing AI solution issues and engaging with finance and data teams.

As a Senior AI Engineer, you will develop and optimize Generative AI applications, manage AI pipelines, collaborate with clients, and ensure production delivery with MLOps best practices.

As an SDK Software Engineer, you will develop and maintain AI SDKs, collaborate with teams, and contribute to open-source projects.

In this role, you will design and develop AI and machine learning models, maintain data pipelines, evaluate model performance, and collaborate with cross-functional teams to integrate AI capabilities into web-based applications.

Provide technical support for AI products, troubleshoot issues, collaborate on solutions, conduct analysis, and maintain documentation while enhancing client support and satisfaction.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

The Senior Software Engineer, AI Automations will build and own internal systems for automating business workflows across various functions such as HR, Finance, and Operations, utilizing modern tooling and APIs.

Develop and implement an internal AI agent platform and create over 50 AI agents to automate various workflows at Imprint.

Citizen Health seeks AI/Machine Learning Engineers to develop AI solutions for healthcare using advanced ML techniques, focusing on rare diseases and patient care. Responsibilities include designing ML models, optimizing LLMs, and ensuring compliance.

Build and scale AI-based monitoring systems that analyze very large unstructured datasets, produce trustworthy structured insights, and enable human oversight. Work across the stack from core analysis frameworks to user-facing tools, partner with researchers and safety teams, develop agentic integrations for autonomous investigation, and shape team strategy and tooling investments.

The AI Platform & Operations Engineer will design AI infrastructure, manage serverless architectures, implement security in CI/CD, and automate systems for a financial advisory firm.

Lead AI strategy and engineering for AI/ML systems, develop intelligent solutions for real estate, and ensure compliance with AI governance standards.

The Staff Software Engineer, AI role involves defining technical direction for AI applications, mentoring engineers, and enhancing patient-provider interactions through advanced language and voice technologies.

The AI Technology Support Engineer/Analyst provides technical support for AI products, resolving complex issues, collaborating with teams, and maintaining documentation. Responsibilities include troubleshooting AI algorithms, model deployment, and client training.

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 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.