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multi-agent-workflows jobs in San Diego

$112,000 – $239,000 · Posted 4 days ago

Senior Software Engineer role focused on building and scaling full-stack client and team member-facing applications. Owns features end-to-end from problem definition through design, implementation, deployment, and iteration using Next.js/React frontend with NestJS GraphQL backend on AWS/EKS.… Expected to leverage AI tools and agentic workflows as a core part of the development process, collaborating with engineering, product, design, and business teams to translate ambiguous requirements into scalable, maintainable solutions.

San DiegoLast seen 2 days ago
$179,200 – $268,800 · Posted 1 month ago

As a Staff Product Data Manager for AI Platforms & Systems Solutions at Qualcomm, you will own the product strategy, definition, and lifecycle for AI platform products and specifications spanning model enablement, agentic systems, orchestration runtimes, and open protocols. You will develop comprehensive plans of record including schedules, budgets, and resources, directing products from conception through end of life while functioning as a central resource across systems, engineering, standards, quality, marketing, and partner teams.… The role requires deep fluency in the Windows edge-AI stack, with technical depth across AI/ML models, agentic systems, orchestration engines, standards development, and hands-on experience delivering Windows-based AI products leveraging local accelerators (CPU, GPU, NPU). You will translate emerging model, agentic, and orchestration trends into differentiated product and specification roadmaps.

San DiegoLast seen 1 month ago
$140,800 – $211,200 · Posted 1 month ago

Design, develop, and optimize machine learning systems for production AI platforms, including model development, inference optimization, and scalable ML infrastructure. Build training-to-deployment pipelines, optimize model serving for latency and cost, and integrate LLMs and generative AI models into microservices and APIs.… Develop data pipelines for ingestion, preprocessing, and feature engineering while collaborating cross-functionally with product, platform, and hardware teams to deliver end-to-end ML solutions.

San DiegoLast seen 1 month ago