Top Artificial Intelligence Engineer Jobs in San Francisco, CA

As a Consulting Systems Engineer, you will lead technical pre-sales, design AI and data solutions, and engage with customers to define integrated technology solutions.

The Staff Software Engineer, AI/ML Focus will lead AI product development, ensure system reliability and security, and collaborate with cross-functional teams to innovate tools and products.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

As a Staff Machine Learning Engineer - AI Tech Lead, you will lead the design of AI systems for security operations, focusing on scalable architectures, AI safety, and mentoring. Responsibilities include overseeing technical evaluations, production workflows, LLM fine-tuning, and collaboration with teams to enhance AI capabilities.

The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.

As a Senior AI Product Engineer, you will build scalable services and front-end applications, design APIs, and enhance AI product offerings, focusing on improving user experience and collaboration with engineering teams.

The AI Forward Deployed Engineer designs and deploys AI-driven solutions, collaborates with customers, develops integrations, and enhances automation technologies.

The Senior AI Solution Engineer leads customer engagements, from discovery through deployment, integrating AI solutions in industrial environments and fostering relationships with stakeholders.

The Senior Software Engineer will develop AI-powered product features, focusing on large language model workflows, collaborating in an agile environment, and mentoring junior engineers.

The Senior Databricks AI/ML Engineer will design and deploy AI/ML solutions in the insurance sector, focusing on Databricks architecture, data pipelines, and MLOps workflows, while collaborating with various teams to operationalize models and optimize processes.

The role involves designing and implementing scalable AI systems, data pipelines, and knowledge architectures. Responsibilities include integrating LLMs with retrieval mechanisms, curating training data, and collaborating with AI teams to enhance AI applications.

The Senior AI/ML Engineer will design, build, and deploy Generative AI and ML platforms, ensuring compliance and high performance. Responsibilities include developing foundational services, overseeing model training infrastructure, and mentoring junior engineers.

The Full Stack AI Engineer will integrate AI capabilities into PerfectServe's platform, design AI architecture, build production features, and advise on AI solutions, with a focus on improving healthcare communications and outcomes.

Lead architectural design of AI/ML solutions, mentor staff, and ensure data governance compliance in high-scale enterprise environments.

The AI Product Engineer develops platforms and tooling for AI agents, focusing on enhancing capabilities and collaborating with product managers to deliver impactful solutions.

Lead the design and implementation of AI-driven workflows, ensuring future business capabilities are AI-first while collaborating with cross-functional teams.

The role involves designing and maintaining infrastructure for machine learning applications, deploying ML pipelines, optimizing resources on GCP, and ensuring system observability.

Design and implement AI-powered solutions for document extraction and financial reasoning, focusing on ML pipelines and application of LLMs.

Lead design and delivery of generative AI features end-to-end, prototype and productionize early-stage AI systems, set technical direction, mentor engineers, and collaborate with product and design to drive measurable product impact.

Develop AI-powered applications, integrate machine learning models with user interfaces, build data pipelines, and collaborate with cross-functional teams.

Develop and scale AI-powered features for Vendelux's platform, focusing on data-driven solutions and enhancing user experience in event marketing.

The AI First Software Engineer will design and build scalable marketplace systems, leveraging AI tools for development and operational efficiency, while collaborating with cross-functional teams.

Design, build, and own LLM-powered product features that help users manage finances. Implement prompt engineering, RAG and retrieval systems, evaluation datasets/scorers, multi-agent orchestration, and production ML/AI services. Collaborate with AI Platform on routing, observability, and production quality.

Technical leader defining architecture and implementation for agentic AI in clinical workflows. Decompose workflows into multi-agent systems, select orchestration tools, drive productionization, partner with product and data science, ensure alignment with reference architecture, and maintain documentation and evaluation practices to deliver clinical value.

Develop scalable applications for an AI-driven Talent Intelligence Platform, focusing on both front-end and back-end development, while integrating AI features.