Agent Engineer - San Francisco CA

AHU Technologies Inc • Washington, DC

1d • $160,000 - $200,000 • Onsite

About The Position

We are seeking an experienced Agent Engineer to build and scale the agent and workflow layer behind a cloud-based creative platform. The ideal candidate has experience shipping production AI or backend systems, understands agent runtime behavior, and can design reliable model orchestration beyond basic prompt-based applications.

This role focuses on developing intelligent workflow systems that integrate multiple AI models, tools, and services across image, video, audio, text, and other creative workflows.

Requirements

• 3+ years of experience building and shipping AI, agent-based, backend, infrastructure, or production software systems.
• Strong proficiency in Python and/or TypeScript.
• Experience with backend development, databases, queues, observability, and production reliability practices.
• Hands-on experience with agent architectures, including planning, tool use, memory, retrieval, context management, and workflow execution.
• Experience orchestrating multiple AI models and providers, including routing, retries, fallbacks, latency optimization, and cost management.
• Experience building evaluation frameworks, regression testing systems, quality metrics, or A/B testing environments.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Ability to work on-site in San Francisco.

Nice To Haves

• Experience working with image, video, audio, TTS/STT, lipsync, upscaling, or related generative AI pipelines.
• Experience maintaining reliable generation workflows at scale.
• Experience with workflow engines, node-based systems, visual programming environments, automation runtimes, or similar platforms.
• Strong understanding of queues, state management, retries, and recovery mechanisms.
• Experience designing AI evaluation systems, regression testing, human review workflows, and benchmarking frameworks.
• Ability to measure and improve AI output quality in production environments.

Responsibilities

• Build and maintain agent runtimes supporting planning, tool usage, memory, retrieval, context management, and workflow execution.
• Orchestrate multiple AI models and providers across various generation workflows.
• Design routing, retry mechanisms, fallbacks, latency optimization, cost controls, and failure recovery systems.
• Develop workflow memory systems that preserve project context, assets, templates, style preferences, and previous outputs.
• Implement evaluation frameworks, regression testing, benchmarking, human review workflows, and quality metrics.
• Improve production reliability through queue management, monitoring, cancellation handling, progress tracking, and graceful recovery mechanisms.
• Collaborate with cross-functional teams to deliver scalable and user-friendly AI workflow solutions.

What This Job Offers

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