Top AI Jobs in San Francisco Bay Area, CA

Design and prototype LLM- and agent-based workflows (RAG, tool-calling), build reusable connectors and agent templates, integrate data science models, define clean API boundaries, implement lightweight evaluation/logging, and collaborate with data science and leadership to operationalize AI systems.

Senior individual contributor responsible for designing and delivering production AI solutions (LLM services, RAG, document intelligence) using AWS native technologies. Build LLM-enabled APIs, vector search pipelines, and cloud-native, serverless integrations; ensure CI/CD, observability, security, and compliance. Provide technical leadership, mentor engineers, collaborate with platform and product teams, and contribute reusable AI patterns and reference implementations.

Lead technical strategy and delivery for a 12-month AI Platform SRE transformation: align executives, define SRE operating model, guide architecture and tooling, track reliability and automation metrics, and oversee phased vendor-to-client transitions.

The AI Creator will produce multimedia content, applying technical workflows and AI tools to enhance creative production processes.

Lead end-to-end client engagements to design, build, and ship AI agent workflows and automations. Convert ambiguous AI mandates into sequenced initiatives, prototype and deploy solutions, manage stakeholder change, document learnings to inform product strategy, and help build the operating model for this new function.

Lead design and execution of an enterprise AI literacy and enablement program, create proficiency frameworks, deliver multimodal learning, embed Responsible AI governance, track adoption metrics, partner cross-functionally, support certification pathways, and represent the program externally to drive responsible AI adoption across the organization.

Lead and scale the AI Coalition for Social Impact, grow and engage diverse membership, develop a multi-year initiative portfolio (starting with AI Certification), build partnerships, run programs and governance, set KPIs, and represent the coalition externally to advance responsible AI adoption across the social impact sector.

Build production-ready intelligent automations and agentic AI solutions. Full-stack development using TypeScript or Python, LangChain, vector DBs, RAG, and tool-calling. Collaborate with clients, ensure maintainable, tested, scalable deployments, CI/CD, observability, and model fine-tuning or deployment.

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

Join Uplane as a founding AI engineer to develop scalable AI systems. Responsibilities include building AI models, managing databases, and ensuring product alignment with user needs.

The AI Marketing Strategist will manage client relationships, advise on digital marketing, execute projects, and implement technology solutions to enhance marketing value.

The Forward Deploy Engineer collaborates with sales to design and implement proofs of concept (POC) for enterprise clients, focusing on integration and workflow optimization while providing product feedback to improve offerings.

The Senior AI Quality Engineer ensures AI applications are reliable and safe in mission-critical environments, building custom testing frameworks and evaluating AI system performance through all development phases.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.

Lead the end-to-end product development process, conduct market research, collaborate with cross-functional teams, and manage product roadmaps based on customer insights and analytics.

As Lead Edge AI Engineer, you'll architect edge-AI pipelines, build developer-friendly APIs, optimize performance, and mentor engineers while collaborating on decentralized AI solutions.

The Research Engineer will advance AI and biology research by implementing models, driving projects, and collaborating with teams to solve biological problems.

As an AI Engineer at Quintess AI, you will build and deploy AI agents, enhance voice AI capabilities, and collaborate with customers to solve real problems.

The role involves advancing AI and biology research, implementing models, and engaging with scientific communities and partners through effective collaboration and impactful publications.