Visa Status: US Citizens, Green Card Holders (Only)ABOUT THE ROLEWe are hiring an Agent Engineer for a confidential AI creative platform. This person will build the agent andworkflow layer behind a cloud-based creative canvas where users connect image, video, audio, text, 3D, and toolnodes into reusable production workflows.The ideal candidate has shipped real production AI or backend systems, understands agent runtime behavior, andcan build reliable model orchestration beyond simple prompt demos.

WHAT YOU WILL OWNBuild the agent runtime for a node-based creative canvas, including planning, tool use, memory, retrieval, context, and workflow execution. Orchestrate multiple AI models and providers across image, video, audio, text, and tool workflows. Design routing, retries, fallbacks, latency control, cost awareness, and failure handling for generation systems. Build workflow memory that preserves project context, prior outputs, style choices, assets, and reusable templates. Create quality loops through evals, regression tests, humanreview, benchmarks, and creator-facing metrics. Improve production reliability through queues, cancellation, progress states, monitoring, and graceful recovery.

WHAT WE ARE LOOKING FOR3+ years shipping agent, LLM, backend, infrastructure, or AI product systems in production. Strong Python and/or TypeScript backend experience with databases, queues, observability, and production reliability. Hands-on experience with agent/runtime design: planning, tool use, memory, retrieval, context management, or workflowexecution. Experience orchestrating multiple model providers, including routing, retries, fallbacks, latency, cost, and failure handling.Ability to build practical eval loops, regression testing, human review, A/B benchmarks, or quality metrics. Strong product judgment for creative workflows, where the system needs to do useful work on a canvas - not just chat. Must be able to work on-site in San Francisco.

STRONG FIT SIGNALSCreative AI Systems Image, video, audio, TTS/STT, lip sync, upscaling, or other creative generationpipelines. Experience keeping generation flows stable under load.

Workflow RuntimesNode graphs, workflow engines, visual programming, ComfyUI-style systems, or automation runtimes. Strong comfort with queues, state, retries, and recovery.

Quality & EvalsBuilt evals, regression tests, human review loops, or quality benchmarks for AI behavior. Can explain how to improve model output quality in production.