Top Artificial Intelligence Engineer Jobs in San Francisco, CA

The Senior AI Engineer will develop and optimize AI systems, collaborate with cross-functional teams, and enhance AI product capabilities at Capital One.

Design, build, and scale production LLM, retrieval, and agentic AI systems for compliance automation. Implement evidence-grounded, explainable workflows, optimize for latency/cost/reliability, and embed human-in-the-loop guardrails while collaborating cross-functionally.

Lead applied research on retrieval and reasoning for compliance-focused AI: design and evaluate RAG/agent strategies, build evaluation frameworks and ranking systems, run experiments, debug failure modes, and hand validated approaches to engineering for productionization.

Design, develop, and deploy AI solutions focusing on Generative AI and autonomous systems. Collaborate with teams to optimize AI pipelines and drive innovation.

Lead the technical evolution of software development by embedding AI into the workflow, designing intelligent ecosystems, and enhancing developer productivity.

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

The role involves developing, deploying, and supporting AI software systems, collaborating with cross-functional teams, and optimizing AI solutions for Capital One.

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.

The Senior Software Engineer will lead projects and develop AI/ML features using Python and Go, focusing on model services and APIs.

Operate and improve production AI-first support workflows (routing, escalation, knowledge, evaluation); act as human escalation for key accounts; debug APIs and web apps; ship automation/code (Python/TypeScript); drive support ops (SLAs, incidents, postmortems); partner with Engineering/Product to turn signals into fixes and reliability improvements.

Design and develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.

The role involves building and scaling the Enterprise AI Platform at Wasabi, designing AI-powered solutions, implementing scalable services, and ensuring robust data governance.

Partner with account teams to design, prototype, and deliver PoVs for ML and GenAI systems using Weights & Biases and CoreWeave. Lead technical demos, architect distributed training/inference, translate business goals into measurable outcomes, and advise on MLOps/LLMOps best practices while feeding customer insights to product and engineering.

Lead architecture and delivery of Coupa's AI platform: define canonical APIs, agent orchestration, RAG pipelines, and multi-tenant policy enforcement. Mentor and influence engineering leaders, drive proofs-of-concept, author technical designs, and evangelize the platform externally.

The role involves providing technical leadership, building AI application services, maintaining APIs, and collaborating on design and operational excellence with SRE/DevOps teams.

Design and develop full stack applications leveraging AI tools. Ensure system resiliency and scalability while leading technical initiatives and collaborating across teams.

The role involves designing and operating a poly-cloud foundation, focusing on infrastructure engineering, Kubernetes, automation services, and GenAI concepts for cloud systems.

The Mobile Engineer will develop and deliver high-quality mobile features using Flutter, collaborate with cross-functional teams, and participate in reviews to enhance code quality.

The Staff Mobile Engineer will enhance mobile app features, improve system architecture, and mentor engineers, utilizing expertise in Flutter and mobile development.

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.

The AI Applications Engineer will prototype AI-driven solutions, collaborate with stakeholders, and create reusable components to address business challenges.

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.

Design, build, and operate authentication/authorization and high‑availability security services; strengthen data and API protections; detect and mitigate account takeover and abuse; build security platforms and tooling; address ambiguous AI/LLM security risks and promote engineering excellence.

As a Software Engineer, you'll build AI-driven product experiences for scientists, optimize user onboarding, and analyze data to drive growth and retention.