Top Artificial Intelligence Engineer Jobs in San Francisco, CA

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.

Design and build applications in Python, collaborate with clients, optimize performance, and ensure code quality in AI-driven projects.

Design and implement AI-powered clinical agents, ensure reliability and efficiency of workflows, collaborate with teams, and innovate in patient care delivery.

This role involves building AI-driven process automation tools and internal applications, optimizing workflows, and developing automation scripts and integrations.

The Solutions Engineer role involves designing AWS-based customer experience solutions, integrating generative AI, and leading technical workshops with clients.

Lead the design, development, and deployment of AI solutions using Microsoft 365 Copilot, collaborating with stakeholders and ensuring compliance.

Lead architecture and implementation of conversational AI systems, build scalable backend services and REST APIs, drive high-impact projects, integrate external partners and carriers, collaborate with Data Science on ML/LLM solutions, and ensure platform performance and scalability.

The Principal AI Forward Deployed Engineer drives AI adoption and implementation at enterprise accounts, advising senior finance stakeholders and managing AI use cases and change management strategies.

As a Full Stack Software Engineer, you'll design backend services for AI capabilities, manage data flows, and collaborate on user-facing experiences across the stack.

The Senior AI Platform Engineer will design, build, and deploy conversational AI systems, manage technical delivery for clients, and ensure reliability and performance in production, handling real-time constraints and error recovery during implementations.

The Principal Software Engineer will lead AI systems development and mentor teams, driving AI adoption and ensuring compliance with healthcare regulations.

Design and build infrastructure for AI agent systems, focusing on high-performance Rust services and reliable ML infrastructure for large-scale production environments.

The GTM Engineer leads the design of a data layer and autonomous systems for AI-driven revenue optimization, collaborating with leadership on growth strategies.

The AI Data Engineer will design, build, and operate data and AI platforms, focusing on stability and repeatability, while supporting Netwrix products and internal platforms with an emphasis on data governance and security.

This role involves designing and implementing document intelligence workflows using large language models (LLMs), focusing on automation in financial technology products, and providing mentorship to team members.

The role involves designing and deploying a data lakehouse infrastructure, building ML pipelines, monitoring services, and collaborating with teams to optimize AI systems.

The Principal Engineer - AI will lead AI/ML strategy, design solutions, mentor teams, and collaborate across functions to enhance environmental and social risk management through innovative applications of AI.

Lead an application squad to architect and implement scalable classical and AI-powered solutions, drive technical decisions for AI features, establish LLM evaluation frameworks and best practices, mentor engineers, perform deep code reviews, and collaborate with Product and Design to align development with the product roadmap.

The Senior Backend Engineer will lead AI-focused projects, optimize data pipelines, mentor juniors, and enhance customer support through innovative technologies.

The Staff AI Software Engineer is responsible for designing and enhancing software for AI agents, conducting system evaluations, mentoring developers, and driving technical decisions.

Design and build secure, scalable systems as a Full-Stack Software Engineer, leveraging expertise in Next.js, TypeScript, PostgreSQL, and AI tools to enhance cybersecurity within global infrastructure.