Top Artificial Intelligence Engineer Jobs in San Francisco, CA

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.

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.

The AI Engineer will develop an Enterprise GenAI platform, design RAG systems, build AI pipelines, and implement evaluation frameworks while collaborating with cross-functional teams.

As an Applied Gen AI Engineer, you'll design and deploy generative AI systems for code review, collaborating to enhance developer productivity through advanced workflows and models.

Design and develop large-scale multimodal transformer models that fuse camera, LiDAR, and radar. Research cross-modal attention and token-fusion strategies, build scalable distributed training pipelines, explore self-supervised/contrastive pretraining, and optimize models for real-time, low-latency inference.

The Founding AI Engineer will develop cloud native services, manage deployments on Kubernetes, and write production-ready agents, requiring strong skills in Python and TypeScript.

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.

Design and build a unified evaluation platform and automated pipelines to evaluate LLM-based agents at enterprise scale. Implement observability, tracing, feedback loops, and guardrails; integrate LLMs, retrieval, embeddings, and orchestration; partner with product and ML teams to turn production failures into evaluation cases.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

The Senior AI Engineer will design and develop voice agents and agentic workflows for healthcare operations, ensuring reliable interactions and efficient backend processes while monitoring performance and iterating on systems based on user feedback.

The Applied AI Engineer will contribute to knowledge repositories, build AI systems, and support sales teams by integrating AI solutions across client engagements.

As an AI Engineer, you will design and develop end-to-end AI systems, improving API documentation and developer experiences through advanced AI solutions. Responsibilities include building retrieval systems, evaluating performance, and ensuring production reliability across user-facing products.

As an AI Engineer, you will design, build, and deploy AI-powered solutions for clients in life sciences, integrating third-party APIs and developing internal tools.

The Applied AI Engineer will work at the intersection of product, engineering, and research to develop AI tools, influence engineering practices, and contribute to company culture while addressing customer challenges.

This role involves building tools for AI Agent development, architecting processing pipelines, and enhancing developer experiences with client-side tools. Requires collaboration and problem-solving skills.

As a Staff Applied AI Engineer, you will develop AI solutions for enterprise clients, managing projects from requirement gathering to code implementation, with a focus on complex technical issues in AI.

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.