AI Agent Engineer San Francisco CA

AHU Technologies

  • Washington, District of Columbia
  • 3 days ago

    Highlights

    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. Workflow & Runtime Systems Experience with workflow engines, node-based systems, visual programming environments, automation runtimes, or similar platforms.

    Numbers & Facts

    LocationWashington, District of Columbia
    Websitehttps://AHUTECH.COM

    Description

    Position: Agent Engineer
    Visa Status: US Citizens and Green Card Holders (Only)
    Location: San Francisco, CA (On-site)
    Employment Type: Full-Time
    Experience Required: 10+ 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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