Top Artificial Intelligence Engineer Jobs in San Francisco, CA

The Senior AI Engineer will develop and implement AI systems and archetypes for BioShock 4, collaborating across multiple teams while maintaining performance and quality standards.

The Senior AI Engineer will develop LLM-powered AI systems, build RAG pipelines, and solve complex information retrieval problems while collaborating cross-functionally to enhance Affinity's CRM platform.

As a Senior Applied AI Engineer, you will develop AI-driven learning tools focusing on personalization, ranking systems, and generative AI, while collaborating with product design and data science teams.

As an Applied AI Engineer at Quizlet, you will develop and implement AI-driven learning tools focused on personalization and generative AI, collaborate with cross-functional teams, and ensure quality and performance in ML systems.

Embed with discovery teams to translate scientific workflows into production AI systems. Rapidly prototype and deploy LLM/RAG-based solutions for multi-omics problems, run evaluation loops, ensure data provenance and reliability, and distill learnings into reusable platform components to drive adoption across therapeutic areas.

As a Forward Deployed AI Engineer, you will integrate Latent Labs' AI models with pharmaceutical clients' workflows, focusing on tech deployment, customer advocacy, and collaborative feedback for product improvement.

As a Solutions Architect, you'll collaborate with sales and technical teams to enhance Cloudflare's AI/Developer Platform, driving revenue and customer adoption through innovative solutions and strategic programs.

Lead development of AI-powered features and scalable agent infrastructure for Hex. Partner with Research on model prompting, build experimentation tooling, and deliver performant full‑stack user experiences using web and backend systems. Mentor engineers and drive major product initiatives.

The Staff Applied AI/ML Engineer will develop, test, and deploy AI/ML models, transition models to production, and collaborate with teams to align solutions with business needs.

As an Applied AI Engineer, you will enhance customer solutions using AI and machine learning, collaborating closely with clients to design effective AI implementations and drive business impact.

The Agentic AI Engineer will design systems that integrate ERP, CRM, and HRIS, build AI workflows, and enact governance frameworks to support enterprise AI initiatives.

The role involves architecting AI-assisted engineering systems, driving projects on AI review, test automation, and multi-agent workflows. Requires deep experience with AI tools, systems architecture, and fintech compliance.

Design and implement scalable cloud solutions for AI/ML, collaborate with sales and engineering teams, and influence customer strategy.

Develops Sutter Health's analytic data infrastructure, ensuring data quality and availability for strategic decision-making, creating scalable data pipelines and improving data processes.

Design, build, and optimize AI-powered workflows and prompts for legal practice groups; collaborate with attorneys and IT; ensure quality, compliance, adoption, and reporting of AI solutions across the firm.

The AI Engineer will develop custom SLAM systems for humanoid robots, ensuring accurate localization and mapping in dynamic environments, leveraging C++ and Python.

The AI Engineer will develop world models for humanoid robotics, enhancing their ability to navigate and adapt to complex environments using deep learning and predictive modeling techniques.

The Applied AI Engineer will architect, implement, and maintain AI agents for Edison's platform, collaborating with science and engineering teams and gathering insights from R&D partners to improve the agents' capabilities and reliability.

Lead technical design and implementation of an AI-powered sales platform, integrate with CRMs and eCommerce, and collaborate across teams to enhance customer experience.

As a Machine Learning Engineer, you will build agentic systems for autonomous web navigation and complex task completion, integrating LLMs and reinforcing learning.

The Applied AI Engineer will design and develop AI applications, collaborate with product teams, and establish frameworks for AI development at Coupa.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

The Applied AI Engineer will develop AI systems for family caregiving, collaborating with teams to ensure solutions are safe and effective.

As an AI Engineer at Loop, you will develop AI models and features, specifically focused on document extraction, LLM scaling, and backend engineering in a collaborative team environment.

The role involves designing and implementing predictive analytics systems for IoT and energy platforms, including building ML pipelines and collaborating with various teams. It requires experience in machine learning, time-series data, and strong programming skills.