Top Artificial Intelligence Engineer Jobs in San Francisco, CA

Design, optimize, and deploy multimodal AI models for real-world applications focusing on vision and language understanding, ensuring accuracy and performance in production systems.

Lead end-to-end embedded AI engagements: map workflows, define KPIs, build full-stack internal systems using LLMs and coding agents, iterate to drive adoption and measurable business impact, and create reusable templates and playbooks.

As an Applied AI Engineer, you'll enhance Console's AI platform by building product flows, automating processes, and improving user experience through data insights.

The Applied AI Engineer will develop end-to-end proofs-of-concept for AI integration, prototype systems rapidly, and collaborate with research and backend teams to deliver functional demos and documentation.

As an Applied AI Engineer, you'll build AI agents and experiences from concept to production, collaborating across teams and optimizing systems for usability and quality.

The Senior Applied AI Engineer will drive AI innovation, design pilots, enhance AI patterns, develop architectures in AWS, and communicate results effectively.

As a Staff Software Engineer in the Data Platform group, you'll lead architecture decisions, mentor engineers, and enhance operational systems while collaborating with cross-functional teams to shape data-based solutions.

Lead the design and operation of the Gradient AI platform, focusing on scalability, performance, and innovation in agent development. Mentor engineers and collaborate across teams to deliver strategic technical roadmaps and enhance operational excellence.

Design and operate distributed, event-driven backend systems in Python for high-volume financial data. Build typed APIs, own end-to-end data and ledger architecture, implement resilient infrastructure primitives, and partner with ML and product teams to productionize AI-native financial workflows and platform foundations.

The Senior AI/ML Tooling Engineer develops tools for optimizing ML models and collaborates across various AV teams to enhance performance analysis and model architecture.

As an AI/ML Engineer, develop and optimize analytics frameworks to enhance autonomous vehicle development, focusing on automation tools and collaboration with engineering teams.

The Staff AI Engineer will lead the development of intelligent search systems, focusing on query understanding, ranking, entity recognition, and architecting search infrastructure using machine learning and advanced NLP techniques.

As a Fullstack AI Engineer, you'll prototype frameworks and scale real-time engines, focusing on product feel without handed specs.

Lead the design and delivery of cloud-native backend, data, and AI systems, focusing on AI-driven automation while mentoring engineers and driving integration into business operations.

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.

Lead AI technical strategy, architect AI systems, set safety standards, mentor engineers, and evaluate AI models at Midi Health, a healthcare-focused company.

You will design and build LLM-powered features, integrate AI capabilities into workflows, and contribute to internal practices at a healthcare-focused company.

The AI Engineer will develop AI systems, lead model orchestration and inference, and collaborate on product strategies. Responsibilities include designing architecture, optimizing performance, and mentoring engineers.

The Applied AI Engineer will collaborate closely with life sciences institutions to enhance scientific workflows through AI integration, emphasizing the deployment of Claude across various applications in life sciences. Responsibilities include developing infrastructure, building trust with researchers, and creating documentation for AI tools.

Develop and optimize machine learning models for document understanding, handle production ML systems, and integrate innovations into APIs.

As an Applied AI Engineer, you will develop and manage full-stack AI projects, build AI infrastructure, and enhance engineering processes to scale solutions at Ramp.

The Applied AI Engineer will design and deploy AI systems, optimize processes, integrate capabilities, and establish engineering best practices.

As a Forward Deployed Engineer, you will translate AI research into real-world applications, architecting solutions and deploying systems for enterprise customers.

Guide customers in deploying and optimizing DatologyAI's platform across various environments, ensuring technical success while collaborating with Sales and Engineering.

As a Senior AI Engineer, you will build AI agents to automate complex audit workflows, mentor team members, and enhance product capabilities while ensuring reliability and performance.