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Agent Engineer - San Francisco CA

AHU Technologies

  • Washington, District of Columbia
  • 30+ days ago
  • $160,000–$200,000 Per Year

Highlights

Agent Engineer Location San Francisco, CA (On-site) Employment Type Full-Time Experience Required 3+ Years About the Role We are seeking an experienced Agent Engineer to build and scale the agent and workflow layer behind a cloud-based creative platform. 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.

Numbers & Facts

LocationWashington, District of Columbia
Salary$160,000–$200,000 Per Year

Description

Agent EngineerLocation
San Francisco, CA (On-site)
Employment Type
Full-Time
Experience Required
3+ Years
About the Role
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.
Key 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.
Required Qualifications
  • 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.
Preferred Qualifications
Creative AI Systems
  • Experience working with image, video, audio, TTS/STT, lipsync, upscaling, or related generative AI pipelines.
  • Experience maintaining reliable generation workflows at scale.
Workflow & Runtime Systems
  • 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.
Quality & Evaluation
  • Experience designing AI evaluation systems, regression testing, human review workflows, and benchmarking frameworks.
  • Ability to measure and improve AI output quality in production environments.
What Success Looks Like
  • Building reliable agent workflows that scale efficiently in production.
  • Improving workflow quality, reliability, and user experience.
  • Delivering robust orchestration across multiple AI systems and providers.
  • Establishing strong evaluation and monitoring practices for AI behavior.
Compensation: $160,000.00 - $200,000.00 per year

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