Top Artificial Intelligence Engineer Jobs in San Francisco, CA

This role involves developing AI-powered analytics interfaces and tools, collaborating with a skilled team to enhance customer data experiences.

Develop scalable JavaScript/Node.js services on AWS and Salesforce. Design and monitor RESTful APIs, create CloudFormation templates, manage S3 file storage and migrations, and deploy cost-effective, secure cloud services. Collaborate in an Agile team and mentor teammates.

As an AI Research Engineer, you'll design and maintain data pipelines, train models, and work with researchers on innovative solutions.

The AI/Machine Learning Engineer will develop systems for automating health benefits decisions, integrating large language models with rule-driven patterns, and ensuring compliance with regulations.

The Senior AI Systems Engineer will develop and evaluate AI systems for crime prevention, focusing on optimizing system performance and accuracy through rigorous testing and technical architecture design.

Design, build, and scale production-grade AI systems (LLM agents, retrieval/RAG, evals, guardrails). Lead architecture decisions, address reliability/observability, mentor engineers, and partner with product to deliver scalable AI-driven features.

The Senior Software Engineer II at Aledade will develop scalable AI/ML solutions, mentor junior engineers, and collaborate with cross-functional teams in the healthcare industry.

Design, build, and maintain AI assistants and automation workflows across HR, Finance, and Operations. Develop agentic AI, RAG, and integrations using APIs, middleware, and automation platforms. Ensure secure, scalable deployments, measure ROI, document solutions, and train teams on AI-assisted workflows.

As a Software Engineer at Central, you will architect workflows, build scalable systems with high reliability, and leverage AI to automate processes, ensuring compliance and data integrity.

The Senior Software Engineer - AI Applications will develop AI-driven applications using large language models. Responsibilities include building microservices, data handling, and collaborating on innovative AI solutions.

Lead AI-driven initiatives to enhance developer tools and workflows, utilizing machine learning and generative AI to improve veterinary software development.

As a System Engineer, you'll design, deploy, and maintain cloud systems for AI workloads, troubleshoot complex issues, and collaborate with teams to optimize performance.

The Lead Data Engineer will manage the AI Data Platform, scale data pipelines, ensure data quality, and lead technical strategy for data initiatives.

Design, build, and operate end-to-end ELT pipelines that extract structured JSON from complex leasing documents using LLMs. Optimize LLM API calls and prompts, implement validation and monitoring, and collaborate with product and engineering to evolve schemas and ensure production-ready data quality.

As a Senior AI Product Engineer at Poggio, you will build scalable platforms, collaborate with teams, and drive product initiatives to deliver AI-driven customer value.

Design, architect, and deploy generative AI/LLM solutions from prototype to production; work directly with clients to translate business needs into technical plans; write production-quality code integrating LLMs and ML models; collaborate with cloud, DevOps, and frontend teams; support proposals, sales, and evaluation/observability of models.

The role involves delivering solutions to technical problems, optimizing APIs, transforming requirements into tasks, mentoring, and participating in hiring.

Lead the design and development of ML inference systems, focusing on generative AI models and optimization techniques for production environments.

The Simulation Engineer will work on AI solutions for CAE workflows, integrate AI technologies, engage with customers, and enhance AI software products.

The HPC Engineer will solve complex AI issues, integrate AI into CAE workflows, and collaborate with customers and the development team at Rescale.

The Application Engineer will develop AI Physics capabilities, work with customers to tailor solutions, and enhance product features based on customer feedback. Responsibilities include building AI-ready data pipelines and debugging complex issues in workflows.

This role focuses on pre-sales engineering for customer service automation solutions, requiring a strong technical background and experience in CCaaS, AI, and analytics to engage with clients and support sales teams effectively.

The Forward Deployed Engineer will embed within customer teams to solve complex business problems, drive AI adoption, and provide feedback to the Product team.

The Solutions Engineer will drive the adoption of AI-powered solutions in the electric utility sector, providing technical consulting and customer enablement. Responsibilities include gathering requirements, architecting solutions, leading RFI/RFP processes, and delivering training. Extensive travel is required for client engagement.

The role involves designing and supporting GPU/Kubernetes clusters for AI/ML workloads, developing automation tools, and troubleshooting infrastructure issues.