Artificial Intelligence Jobs in Sunnyvale, CA

Lead end-to-end product development for an AI platform that automates sales and service using LLMs and agents. Define prompt strategies, evaluation frameworks, guardrails, and APIs; partner with engineering and OpenAI; run experiments to improve automation, accuracy, latency, cost, and customer satisfaction.

Lead end-to-end product development for Jerry.ai's AI platform, designing prompt strategies, evaluation frameworks, and guardrails. Translate technical tradeoffs across teams, drive experiments to improve automation and answer quality, and partner with OpenAI to integrate advanced models and voice capabilities into production.

Lead end-to-end development of Jerry.ai's AI platform, building and scaling LLM-driven agents and integrations. Define prompt strategies, evaluation frameworks, guardrails, and metrics to improve automation, quality, and customer satisfaction. Act as technical translator across teams and partner with OpenAI to deploy new model and voice capabilities.

Lead end-to-end development and scaling of Jerry.ai's AI agent platform, designing prompt strategies, evaluation frameworks, and guardrails. Partner with engineering and OpenAI, drive experiments to improve automation, answer quality, and customer satisfaction, and establish AI platform best practices and standards.

Lead end-to-end development and scaling of an AI agents/platform product, partner with engineering and OpenAI, design prompts, evaluations, and guardrails, drive experiments to improve automation, quality, and customer satisfaction, and establish platform standards across the org.

Develop logic design and RTL coding for SoC designs, integrate IP blocks, perform quality checks, and collaborate with verification teams. Lead architectural evaluations, define micro-architecture, optimize logic for power and performance, and mentor junior engineers.

The Applied AI Engineer will prototype AI solutions by building proofs-of-concept, integrating various AI tools, and collaborate with research and backend teams to refine and deploy AI memory solutions.

Join the Fury Team as an AI Engineer to develop AI models for autonomous systems, designing architectures and integrating ML for real-time applications.

The AI Researcher will lead research in embodied intelligence for defense systems, focusing on reinforcement learning, vision-language modeling, and building scalable AI models for autonomous applications in real-world environments.

Lead the design and implementation of scalable AI systems focusing on large language models and speech technologies, while providing technical leadership and mentoring.

Produce high-quality AI video content, maintain expertise in generative video models, develop prompting techniques, combine AI footage with traditional editing, and collaborate with the production team.

The Backend Engineer will contribute to building Ambient AI solutions, scale infrastructure, design AI pipelines, and collaborate closely with engineering and product teams to enhance model deployment and performance.

The Fullstack Engineer will design and implement integration solutions for healthcare systems, collaborating across teams and ensuring compliance with standards like HIPAA. Responsibilities include troubleshooting, mentoring junior engineers, and driving best practices in integration development.

The Senior Fullstack Engineer will lead the design and development of scalable software solutions, enhancing product architecture, collaborating with cross-functional teams, and promoting coding best practices.

The Senior Backend Engineer will contribute to healthcare platform development, scale infrastructure, work across the software stack, and support customers. Requires strong Python skills and experience in building production environments.

Build end-to-end Ambient AI products for healthcare, work across the software stack, and engage directly with customers to resolve issues.

Develop AI-powered healthcare solutions, implement fullstack systems, collaborate across teams, and ensure usability in clinical environments.

Design, build, and improve ML systems and infrastructure, mentor junior engineers, and write maintainable code in a customer-focused environment.

Lead product vision, strategy, and roadmap for generative and conversational AI solutions, conduct market research, and drive product delivery.

As a Product Manager for AI at Agora, you'll develop and execute strategies for AI-related products, advocate for customers, and collaborate with engineering and marketing teams to drive product success.

Lead a research team focused on enhancing large-scale machine learning models' efficiency and performance, developing novel algorithms and collaborating with engineering teams to implement breakthroughs.

As a Senior Product Manager for AI, you will lead AI-based product strategies, engage with customers for insights, prototype solutions, and collaborate with teams to deliver intelligent agent-driven products.

The role involves developing and productionizing security detection models, collaborating with security research, and shaping engineering culture as a founding team member.

The AI Engineer will design and develop generative AI applications and manage their full lifecycle, ensuring operational efficiency and system performance while employing LLM technology.

Lead research and architectural direction for AI systems communication at scale, conducting original research, optimizing hardware-software performance, and mentoring engineers.