AGENT ENGINEER San Francisco CA

AHU Technologies Inc • Washington, DC

1d • $160 - $200 • Onsite

About The Position

We are hiring an Agent Engineer for a confidential AI creative platform. This person will build the agent and workflow layer behind a cloud-based creative canvas where users connect image, video, audio, text, 3D, and tool nodes into reusable production workflows. The ideal candidate has shipped real production AI or backend systems, understands agent runtime behavior, and can build reliable model orchestration beyond simple prompt demos.

Requirements

• 3+ 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 workflow execution.
• 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.

Nice To Haves

• Creative AI Systems Image, video, audio, TTS/STT, lip sync, upscaling, or other creative generation pipelines.
• Experience keeping generation flows stable under load.
• Workflow Runtimes Node graphs, workflow engines, visual programming, ComfyUI-style systems, or automation runtimes.
• Strong comfort with queues, state, retries, and recovery.
• Quality & Evals Built evals, regression tests, human review loops, or quality benchmarks for AI behavior.
• Can explain how to improve model output quality in production.

Responsibilities

• Build 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, human review, benchmarks, and creator-facing metrics.
• Improve production reliability through queues, cancellation, progress states, monitoring, and graceful recovery.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed